{ "models": [ { "id": "o3-mini-high", "name": "o3-mini (high)", "provider": "OpenAI", "release_date": "2025-01-31", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-4.1 blog table." } }, { "id": "gpt-4.5", "name": "GPT-4.5", "provider": "OpenAI", "release_date": "2025-02-27", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-4.1 blog table." } }, { "id": "gpt-4.1", "name": "GPT-4.1", "provider": "OpenAI", "release_date": "2025-04-14", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. non-reasoning model." } }, { "id": "gpt-4.1-mini", "name": "GPT-4.1 mini", "provider": "OpenAI", "release_date": "2025-04-14", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. non-reasoning model." } }, { "id": "gpt-4.1-nano", "name": "GPT-4.1 nano", "provider": "OpenAI", "release_date": "2025-04-14", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. non-reasoning model." } }, { "id": "o3-high", "name": "o3 (high)", "provider": "OpenAI", "release_date": "2025-04-16", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. high reasoning effort." } }, { "id": "o4-mini-high", "name": "o4-mini (high)", "provider": "OpenAI", "release_date": "2025-04-16", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. high reasoning effort." } }, { "id": "gpt-5", "name": "GPT-5", "provider": "OpenAI", "release_date": "2025-08-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 dev blog. high reasoning effort." } }, { "id": "gpt-oss-120b", "name": "gpt-oss-120B", "provider": "OpenAI", "release_date": "2025-08-05", "params_total_M": 116800, "params_active_M": 5100, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "with tools (per-bench override; harmony chat format default)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (harmony chat format)", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table." } }, { "id": "gpt-oss-20b", "name": "gpt-oss-20B", "provider": "OpenAI", "release_date": "2025-08-05", "params_total_M": 20900, "params_active_M": 3600, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "with tools (per-bench override; harmony chat format default)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (harmony chat format)", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table." } }, { "id": "gpt-5.1", "name": "GPT-5.1", "provider": "OpenAI", "release_date": "2025-11-13", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default (with prompt adjustment for \u03c4\u00b2-bench)", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5.1 dev blog: \"high\" reasoning effort (not xhigh like 5.2/5.4/5.5)." } }, { "id": "gpt-5.2", "name": "GPT-5.2", "provider": "OpenAI", "release_date": "2025-12-11", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default (with prompt adjustment for \u03c4\u00b2-bench)", "temperature": "default", "context": "default", "notes": "Per OpenAI gpt-5.2 blog: reasoning effort=xhigh, research environment." } }, { "id": "gpt-5.3-codex", "name": "GPT-5.3-Codex", "provider": "OpenAI", "release_date": "2026-02-05", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default (with prompt adjustment for \u03c4\u00b2-bench)", "temperature": "default", "context": "default", "notes": "Per OpenAI gpt-5.3-codex blog: reasoning effort=xhigh, research environment." } }, { "id": "gpt-5.4", "name": "GPT-5.4", "provider": "OpenAI", "release_date": "2026-03-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI gpt-5.4 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)." } }, { "id": "gpt-5.5", "name": "GPT-5.5", "provider": "OpenAI", "release_date": "2026-04-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI gpt-5.5 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)." } }, { "id": "claude-3.7-sonnet", "name": "Claude 3.7 Sonnet", "provider": "Anthropic", "release_date": "2025-02-24", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0, "context": "default", "notes": "Per Claude 4 blog cross-model table: with extended thinking for GPQA/MMMU/AIME/TAU; no extended thinking for SWE/Terminal/MMMLU." } }, { "id": "claude-sonnet-4", "name": "Claude Sonnet 4", "provider": "Anthropic", "release_date": "2025-05-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework (for agentic benchmarks)", "prompt_style": "default", "temperature": "top_p=0.95", "context": "default", "notes": "Per Anthropic Claude 4 announcement table: single-pass values; no extended thinking for SWE/Terminal/MMMLU; extended thinking up to 64K for GPQA/MMMU/AIME/TAU; tools=agentic for SWE/Terminal/TAU/OSWorld. Agentic harness=Claude Code per Claude 4 blog." } }, { "id": "claude-opus-4", "name": "Claude Opus 4", "provider": "Anthropic", "release_date": "2025-05-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework (for agentic benchmarks)", "prompt_style": "default", "temperature": "top_p=0.95", "context": "default", "notes": "Per Anthropic Claude 4 announcement table: single-pass values; no extended thinking for SWE/Terminal/MMMLU; extended thinking up to 64K for GPQA/MMMU/AIME/TAU; tools=agentic for SWE/Terminal/TAU/OSWorld. Agentic harness=Claude Code per Claude 4 blog." } }, { "id": "claude-opus-4.1", "name": "Claude Opus 4.1", "provider": "Anthropic", "release_date": "2025-08-05", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Terminus 1 (for agentic benchmarks)", "prompt_style": "default", "temperature": "top_p=0.95", "context": "default", "notes": "Per Anthropic Opus 4.1 announcement table. Single-pass values; harness=Terminus 1 for Terminal-Bench (note: differs from Claude 4 blog which used Claude Code framework)." } }, { "id": "claude-sonnet-4.5", "name": "Claude Sonnet 4.5", "provider": "Anthropic", "release_date": "2025-09-29", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high (default)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (for terminal-bench); official otherwise", "prompt_style": "interleaved scratchpads", "temperature": "default (top_p, temperature)", "context": "200K (default)", "notes": "Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget." } }, { "id": "claude-haiku-4.5", "name": "Claude Haiku 4.5", "provider": "Anthropic", "release_date": "2025-10-15", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "128K thinking budget", "tools": "none (per-bench override for agentic benchmarks)", "sampling": "pass@1 (avg over \u226510 runs unless noted)", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default (Anthropic default)" } }, { "id": "claude-opus-4.5", "name": "Claude Opus 4.5", "provider": "Anthropic", "release_date": "2025-11-24", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high (default)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (for terminal-bench); official otherwise", "prompt_style": "interleaved scratchpads", "temperature": "default (top_p, temperature)", "context": "200K (default)", "notes": "Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget." } }, { "id": "claude-opus-4.6", "name": "Claude Opus 4.6", "provider": "Anthropic", "release_date": "2026-02-05", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "max", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "up to 1M", "notes": "Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M." } }, { "id": "claude-sonnet-4.6", "name": "Claude Sonnet 4.6", "provider": "Anthropic", "release_date": "2026-02-17", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "max", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5-15 trials)", "judge": "rule-based", "harness": "Terminus-2 (terminal-bench, thinking off); official otherwise", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Anthropic Sonnet 4.6 announcement: max thinking effort default; Terminal-Bench=thinking off, Terminus-2; SWE-bench=avg 10 trials; BrowseComp/HLE-with-tools have specific tool configs (web search/fetch + 50k context compaction)." } }, { "id": "claude-mythos", "name": "Claude Mythos Preview", "provider": "Anthropic", "release_date": "2026-04-07", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "adaptive thinking at max effort", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "up to 1M", "notes": "Per Mythos System Card Table 6.3.A: standard config is adaptive thinking max effort, default sampling (temperature, top_p), avg 5 trials, context up to 1M." } }, { "id": "claude-opus-4.7", "name": "Claude Opus 4.7", "provider": "Anthropic", "release_date": "2026-04-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (for terminal-bench, thinking disabled)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Anthropic Opus 4.7 announcement table. Default thinking mode with extended thinking; Terminal-Bench uses Terminus-2 harness with thinking disabled (1\u00d7 guaranteed/3\u00d7 ceiling, avg 5 attempts)." } }, { "id": "gemini-2.0-flash", "name": "Gemini 2.0 Flash", "provider": "Google", "release_date": "2025-02-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family." } }, { "id": "gemini-2.5-pro", "name": "Gemini 2.5 Pro (GA)", "provider": "Google", "release_date": "2025-06-27", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single attempt)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27." } }, { "id": "gemini-2.5-flash", "name": "Gemini 2.5 Flash", "provider": "Google", "release_date": "2025-05-20", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single attempt; multi-trial avg for smaller bench)", "judge": "rule-based", "harness": "AI Studio API (gemini-2.5-flash GA)", "prompt_style": "default", "temperature": "default", "context": "default (1M)", "notes": "Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column." } }, { "id": "gemma-3-27b", "name": "Gemma 3 27B", "provider": "Google", "release_date": "2025-03-12", "params_total_M": 27000, "params_active_M": 27000, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per Gemma 3 tech report (arxiv:2503.19786) Table 6 IT column for 27B." } }, { "id": "gemma-4-31b", "name": "Gemma 4 31B", "provider": "Google", "release_date": "2026-04-22", "params_total_M": 31000, "params_active_M": 31000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (transformers/llama.cpp/MLX/SGLang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default (128K E2B/E4B; 256K 31B/26B)", "notes": "Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default." } }, { "id": "gemma-4-26b-a4b", "name": "Gemma 4 26B A4B", "provider": "Google", "release_date": "2026-04-22", "params_total_M": 26000, "params_active_M": 4000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (transformers/llama.cpp/MLX/SGLang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default (128K E2B/E4B; 256K 31B/26B)", "notes": "Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default." } }, { "id": "gemma-4-e4b", "name": "Gemma 4 E4B", "provider": "Google", "release_date": "2026-04-22", "params_total_M": 4000, "params_active_M": 4000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (transformers/llama.cpp/MLX/SGLang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default (128K E2B/E4B; 256K 31B/26B)", "notes": "Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default." } }, { "id": "gemma-4-e2b", "name": "Gemma 4 E2B", "provider": "Google", "release_date": "2026-04-22", "params_total_M": 2000, "params_active_M": 2000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (transformers/llama.cpp/MLX/SGLang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default (128K E2B/E4B; 256K 31B/26B)", "notes": "Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default." } }, { "id": "gemini-3-pro", "name": "Gemini 3 Pro", "provider": "Google", "release_date": "2025-11-18", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Google DeepMind /models/gemini/pro/ table: Gemini 3 Pro Thinking (High), no tools by default." } }, { "id": "gemini-3-flash", "name": "Gemini 3 Flash", "provider": "Google", "release_date": "2025-11-18", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default." } }, { "id": "gemini-3.1-pro", "name": "Gemini 3.1 Pro", "provider": "Google", "release_date": "2026-02-19", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default." } }, { "id": "llama-4-scout", "name": "Llama 4 Scout", "provider": "Meta", "release_date": "2025-04-05", "params_total_M": 109000, "params_active_M": 17000, "architecture": "MoE", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official-meta", "prompt_style": "zeroshot", "temperature": "0.0", "context": "default", "multimodal_input": true } }, { "id": "llama-4-maverick", "name": "Llama 4 Maverick", "provider": "Meta", "release_date": "2025-04-05", "params_total_M": 402000, "params_active_M": 17000, "architecture": "MoE", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official-meta", "prompt_style": "zeroshot", "temperature": "0.0", "context": "default", "multimodal_input": true } }, { "id": "llama-4-behemoth", "name": "Llama 4 Behemoth", "provider": "Meta", "release_date": "2025-04-05", "params_total_M": 2000000, "params_active_M": 288000, "architecture": "MoE", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official-meta", "prompt_style": "zeroshot", "temperature": "0.0", "context": "default", "multimodal_input": true } }, { "id": "muse-spark", "name": "Muse Spark", "provider": "Meta", "release_date": "2026-04-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-benchmark override where tools are required)", "sampling": "pass@1 (single-pass)", "judge": "rule-based or gpt-oss-120b (per benchmark)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default", "notes": "Per Meta MSL blog https://ai.meta.com/blog/introducing-muse-spark-msl/. Standard Thinking mode. Contemplating mode results flagged for review." } }, { "id": "grok-3-beta", "name": "Grok 3 Beta", "provider": "xAI", "release_date": "2025-02-19", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per xAI Grok 3 blog: canonical = non-reasoning mode (the cross-model table without 'Think' label). Reasoning ON values not used." } }, { "id": "grok-4", "name": "Grok 4", "provider": "xAI", "release_date": "2025-07-09", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per xAI Grok 4 blog: standard chart values (no Heavy, no with-Python tool unless noted)." } }, { "id": "grok-4.1", "name": "Grok 4.1", "provider": "xAI", "release_date": "2025-11-17", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per xAI Grok 4.1 blog: standard chart values. Hallucination/FActScore use with-web-search but those are not stored in BP." } }, { "id": "grok-4.20", "name": "Grok 4.20", "provider": "xAI", "release_date": "2026-03-09", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false }, { "id": "deepseek-r1", "name": "DeepSeek-R1", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1-0528 model card." } }, { "id": "deepseek-v3", "name": "DeepSeek-V3", "provider": "DeepSeek", "release_date": "2025-01-01", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": false, "open_weights": true }, { "id": "deepseek-v3-0324", "name": "DeepSeek-V3-0324", "provider": "DeepSeek", "release_date": "2025-03-24", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": false, "open_weights": true }, { "id": "deepseek-r1-0528", "name": "DeepSeek-R1-0528", "provider": "DeepSeek", "release_date": "2025-05-28", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1-0528 model card." } }, { "id": "deepseek-r1-distill-qwen-32b", "name": "DeepSeek-R1-Distill-Qwen-32B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 32000, "params_active_M": 32000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1 paper Table 15 (distilled model)." } }, { "id": "deepseek-r1-distill-qwen-14b", "name": "DeepSeek-R1-Distill-Qwen-14B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 14000, "params_active_M": 14000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1 paper Table 15 (distilled model)." } }, { "id": "deepseek-r1-distill-qwen-7b", "name": "DeepSeek-R1-Distill-Qwen-7B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 7000, "params_active_M": 7000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1 paper Table 15 (distilled model)." } }, { "id": "deepseek-r1-distill-qwen-1.5b", "name": "DeepSeek-R1-Distill-Qwen-1.5B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 1500, "params_active_M": 1500, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1 paper Table 15 (distilled model)." } }, { "id": "deepseek-r1-distill-llama-8b", "name": "DeepSeek-R1-Distill-Llama-8B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 8000, "params_active_M": 8000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek R1 paper Table 15 (distilled model)." } }, { "id": "deepseek-r1-distill-llama-70b", "name": "DeepSeek-R1-Distill-Llama-70B", "provider": "DeepSeek", "release_date": "2025-01-20", "params_total_M": 70000, "params_active_M": 70000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (DeepSeek SGLang/vLLM)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Distill of DeepSeek-R1 onto Llama-70B base. Cells in BP currently primarily sourced from Qwen3 tech report Table 13 third-party self-test (matches_canonical=false). DeepSeek own paper audit pending \u2014 canonical_setting may need refinement." } }, { "id": "deepseek-v3.2", "name": "DeepSeek-V3.2", "provider": "DeepSeek", "release_date": "2025-12-01", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K", "notes": "Per DeepSeek V3.2 tech report: temperature=1.0, context=128K, thinking mode for tool-use." } }, { "id": "deepseek-v3.2-speciale", "name": "DeepSeek-V3.2-Speciale", "provider": "DeepSeek", "release_date": "2025-12-01", "params_total_M": 671000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "max", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K", "notes": "DS V3.2-Speciale: high-compute reasoning variant of V3.2. Per V3.2 tech report Table 3." } }, { "id": "deepseek-v4-pro", "name": "DeepSeek-V4-Pro", "provider": "DeepSeek", "release_date": "2026-04-22", "params_total_M": 1600000, "params_active_M": 49000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "Max", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V4-Pro model card. Three reasoning modes available (Non-Think/High/Max); BP canonical = Max mode (most powerful). Other modes' values stored as candidates if needed." } }, { "id": "deepseek-v4-flash", "name": "DeepSeek-V4-Flash", "provider": "DeepSeek", "release_date": "2026-04-22", "params_total_M": 284000, "params_active_M": 13000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "Max", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V4-Pro model card. Three reasoning modes available (Non-Think/High/Max); BP canonical = Max mode (most powerful). Other modes' values stored as candidates if needed." } }, { "id": "qwen3-235b", "name": "Qwen3-235B-A22B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 235000, "params_active_M": 22000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column. Output length 32768 (38912 for AIME)." } }, { "id": "qwen3-32b", "name": "Qwen3-32B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 32000, "params_active_M": 32000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-4b", "name": "Qwen3-4B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 4000, "params_active_M": 4000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-0.6b", "name": "Qwen3-0.6B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 600, "params_active_M": 600, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-1.7b", "name": "Qwen3-1.7B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 1700, "params_active_M": 1700, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-8b", "name": "Qwen3-8B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 8000, "params_active_M": 8000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-14b", "name": "Qwen3-14B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 14000, "params_active_M": 14000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwen3-30b-a3b", "name": "Qwen3-30B-A3B", "provider": "Alibaba", "release_date": "2025-05-15", "params_total_M": 30000, "params_active_M": 3000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official (Qwen-Agent / sglang)", "prompt_style": "default (enable_thinking=True)", "temperature": "default", "context": "default", "notes": "Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column." } }, { "id": "qwq-32b", "name": "QwQ-32B", "provider": "Alibaba", "release_date": "2025-03-05", "params_total_M": 32800, "params_active_M": 32800, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (32K)", "notes": "Per QwQ-32B release blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column." } }, { "id": "qwen3.5-397b", "name": "Qwen3.5-397B-A17B", "provider": "Alibaba", "release_date": "2026-02-01", "params_total_M": 397000, "params_active_M": 17000, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default (96k thinking budget)", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (sglang/vllm with --reasoning-parser qwen3)", "prompt_style": "default (thinking by default)", "temperature": "default", "context": "default (262K)", "notes": "Per Qwen3.5 HF model card. Vision-language MoE 397B/17B." } }, { "id": "qwen3.6-plus", "name": "Qwen3.6-Plus", "provider": "Alibaba", "release_date": "2026-03-31", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false }, { "id": "kimi-k2", "name": "Kimi K2", "provider": "Moonshot AI", "release_date": "2025-07-16", "params_total_M": null, "params_active_M": null, "architecture": "MoE", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (256K)", "notes": "Per Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column. Non-thinking model." } }, { "id": "kimi-k2-thinking", "name": "Kimi K2 Thinking", "provider": "Moonshot AI", "release_date": "2025-11-01", "params_total_M": null, "params_active_M": null, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (256K)", "notes": "Per Kimi K2 Thinking blog (moonshotai.github.io/Kimi-K2/thinking.html). Thinking model." } }, { "id": "kimi-k2.5", "name": "Kimi K2.5", "provider": "Moonshot AI", "release_date": "2026-01-01", "params_total_M": null, "params_active_M": null, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "256K", "notes": "Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95." } }, { "id": "kimi-k2.6", "name": "Kimi K2.6", "provider": "Moonshot AI", "release_date": "2026-04-22", "params_total_M": null, "params_active_M": null, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0", "context": "262144 (256K)", "notes": "Per Kimi K2.6 model card (HF moonshotai/Kimi-K2.6). Thinking mode, max effort, t=1.0 top_p=1.0." } }, { "id": "glm-4.6", "name": "GLM-4.6", "provider": "Zhipu AI", "release_date": "2025-09-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-4.7 blog." } }, { "id": "glm-4.7", "name": "GLM-4.7", "provider": "Zhipu AI", "release_date": "2025-12-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5 blog." } }, { "id": "glm-5", "name": "GLM-5", "provider": "Zhipu AI", "release_date": "2026-03-15", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5 blog." } }, { "id": "glm-5.1", "name": "GLM-5.1", "provider": "Zhipu AI", "release_date": "2026-04-07", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5.1 blog." } }, { "id": "doubao-seed-2.0-pro", "name": "Doubao Seed 2.0 Pro", "provider": "ByteDance", "release_date": "2026-02-14", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Doubao Seed 2.0 Pro model card. High thinking config." } }, { "id": "mistral-small-3.1", "name": "Mistral Small 3.1", "provider": "Mistral", "release_date": "2025-03-01", "params_total_M": 24000, "params_active_M": 24000, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "mixed (5-shot CoT for MMLU/Pro/GPQA per HF MC; default for others)", "temperature": "0.0", "context": "default", "multimodal_input": true } }, { "id": "mistral-medium-3", "name": "Mistral Medium 3", "provider": "Mistral", "release_date": "2025-05-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "mixed (5-shot CoT for GPQA Diamond / MMLU Pro per Mistral blog; 0-shot for others)", "temperature": "0.0", "context": "default", "multimodal_input": true, "notes": "Per Mistral Medium 3 blog: https://mistral.ai/news/mistral-medium-3. \"Same internal evaluation pipeline\" across all benchmarks." } }, { "id": "mistral-large-3", "name": "Mistral Large 3", "provider": "Mistral", "release_date": "2025-12-01", "params_total_M": 675000, "params_active_M": null, "architecture": "MoE", "is_reasoning": false, "open_weights": true }, { "id": "codestral-25.01", "name": "Codestral 25.01", "provider": "Mistral", "release_date": "2025-01-15", "params_total_M": 22000, "params_active_M": 22000, "architecture": "Dense", "is_reasoning": false, "open_weights": true }, { "id": "devstral-2", "name": "Devstral 2", "provider": "Mistral", "release_date": "2025-12-01", "params_total_M": 123000, "params_active_M": null, "architecture": "Dense", "is_reasoning": false, "open_weights": true }, { "id": "phi-4", "name": "Phi-4", "provider": "Microsoft", "release_date": "2025-01-01", "params_total_M": 14000, "params_active_M": 14000, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenAI simple-evals", "prompt_style": "default", "temperature": "0.5", "context": "default (16K)", "notes": "Per Phi-4 paper (arxiv:2412.08905) Table 1, simple-evals framework, temperature 0.5." } }, { "id": "phi-4-reasoning", "name": "Phi-4-reasoning", "provider": "Microsoft", "release_date": "2025-04-30", "params_total_M": 14000, "params_active_M": 14000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of 5)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8", "context": "default (32K)", "notes": "Per Phi-4-reasoning paper (arxiv:2504.21318) Tables 1-2. Thinking model, temp 0.8, max_seq_len 31k." } }, { "id": "phi-4-reasoning-plus", "name": "Phi-4-reasoning-plus", "provider": "Microsoft", "release_date": "2025-04-30", "params_total_M": 14000, "params_active_M": 14000, "architecture": "Dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of 5)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8", "context": "default (32K)", "notes": "Per Phi-4-reasoning paper. Same as phi-4-reasoning + GRPO RL on top." } }, { "id": "nemotron-ultra-253b", "name": "Nemotron Ultra 253B", "provider": "NVIDIA", "release_date": "2025-04-10", "params_total_M": 253000, "params_active_M": null, "architecture": "MoE", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6 (thinking mode)", "context": "32k", "notes": "Per NVIDIA HF model card https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1: Reasoning On mode, temperature=0.6, top_p=0.95, 32k context, benchmarks run up to 16x and averaged." } }, { "id": "amazon-nova-pro", "name": "Amazon Nova Pro", "provider": "Amazon", "release_date": "2025-01-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0, "context": "default", "notes": "Per Amazon Nova Premier tech report (cross-reports Nova Pro) and Nova family arxiv 2506.12103. SimpleQA cell reported with SerpApi web tool \u2014 see cell-level reported_setting." } }, { "id": "amazon-nova-premier", "name": "Amazon Nova Premier", "provider": "Amazon", "release_date": "2025-04-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0, "context": "default", "notes": "Per Amazon Nova Premier tech report (Apr 2025). SimpleQA cell reported with SerpApi web tool \u2014 see cell-level reported_setting." } }, { "id": "command-a", "name": "Command A", "provider": "Cohere", "release_date": "2025-03-13", "params_total_M": 111000, "params_active_M": null, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals (for MMLU/MMLU-Pro/GPQA); internal reproductions for code/SQL", "prompt_style": "default", "temperature": "default", "context": "default (256K)", "notes": "Per Command A tech report (cohere.com/research/papers/command-a-technical-report.pdf)." } }, { "id": "exaone-4.0-32b", "name": "EXAONE 4.0 32B", "provider": "LG AI Research", "release_date": "2025-07-15", "params_total_M": 32000, "params_active_M": 32000, "architecture": "Hybrid (Local+Global Attention 3:1, QK-Reorder-LN)", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "avg-of-N (n=32 AIME/HMMT, n=8 GPQA, n=4 LCB/Tau-bench, n=1 others)", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5 (Reasoning mode)", "context": "128k", "notes": "Per LG AI Research arxiv:2507.11407 (Table 3): Reasoning mode is canonical (lead results). 32B max context 131,072 tokens." } }, { "id": "minimax-m2", "name": "MiniMax-M2", "provider": "MiniMax", "release_date": "2025-10-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per MiniMax M2 model card." } }, { "id": "minimax-m2.5", "name": "MiniMax-M2.5", "provider": "MiniMax", "release_date": "2026-04-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per MiniMax M2.5 model card." } }, { "id": "olmo-2-13b", "name": "OLMo 2 13B", "provider": "Allen AI", "release_date": "2025-01-01", "params_total_M": 13000, "params_active_M": 13000, "architecture": "Dense", "is_reasoning": false, "open_weights": true }, { "id": "lfm2.5-1.2b-thinking", "name": "LFM2.5-1.2B-Thinking", "provider": "Liquid AI", "release_date": "2026-01-06", "params_total_M": 1200, "params_active_M": 1200, "architecture": "Hybrid", "is_reasoning": true, "open_weights": true }, { "id": "phi-4-mini", "name": "Phi-4-mini", "provider": "Microsoft", "release_date": "2025-03-01", "params_total_M": 3800, "params_active_M": 3800, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per Phi-4-mini-instruct HF model card." } }, { "id": "falcon3-10b", "name": "Falcon3-10B-Instruct", "provider": "TII", "release_date": "2025-01-01", "params_total_M": 10000, "params_active_M": 10000, "architecture": "Dense", "is_reasoning": false, "open_weights": true }, { "id": "internlm3-8b", "name": "InternLM3-8B-Instruct", "provider": "Shanghai AI Lab", "release_date": "2025-01-15", "params_total_M": 8000, "params_active_M": 8000, "architecture": "Dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot (default per benchmark)", "temperature": "default", "notes": "Per https://github.com/InternLM/InternLM README: evaluated using OpenCompass. Values marked * = Thinking Mode (excluded from non-thinking canonical). Most benchmarks 0-shot." } }, { "id": "seed-thinking-v1.5", "name": "Seed-Thinking-v1.5", "provider": "ByteDance", "release_date": "2025-04-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Seed-Thinking-v1.5 paper." } }, { "id": "gpt-4o", "name": "GPT-4o (2024-11-20)", "provider": "OpenAI", "release_date": "2024-11-20", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-4.1 blog table." } }, { "id": "gpt-4o-mini", "name": "GPT-4o mini", "provider": "OpenAI", "release_date": "2024-07-18", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-4.1 blog table." } }, { "id": "o1-high", "name": "OpenAI o1 (high)", "provider": "OpenAI", "release_date": "2024-12-17", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-4.1 blog table." } }, { "id": "gemini-1.5-flash", "name": "Gemini 1.5 Flash", "provider": "Google", "release_date": "2024-05-14", "params_total_M": null, "params_active_M": null, "architecture": "moe", "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family." } }, { "id": "gemini-1.5-pro", "name": "Gemini 1.5 Pro", "provider": "Google", "release_date": "2024-05-14", "params_total_M": null, "params_active_M": null, "architecture": "moe", "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family." } }, { "id": "gemini-2.0-flash-lite", "name": "Gemini 2.0 Flash-Lite", "provider": "Google", "release_date": "2025-02-25", "params_total_M": null, "params_active_M": null, "architecture": "moe", "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family." } }, { "id": "deepseek-v2-0506", "name": "DeepSeek-V2-0506", "provider": "DeepSeek", "release_date": "2024-05-06", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "deepseek-v2.5-0905", "name": "DeepSeek-V2.5-0905", "provider": "DeepSeek", "release_date": "2024-09-05", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "qwen2.5-72b-instruct", "name": "Qwen2.5 72B Instruct", "provider": "Alibaba", "release_date": "2024-09-19", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "llama-3.1-405b-instruct", "name": "LLaMA-3.1 405B Instruct", "provider": "Meta", "release_date": "2024-07-23", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "claude-3.5-sonnet", "name": "Claude 3.5 Sonnet (1022)", "provider": "Anthropic", "release_date": "2024-10-22", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "gpt-4o-0513", "name": "GPT-4o (2024-05-13)", "provider": "OpenAI", "release_date": "2024-05-13", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per DeepSeek V3 paper Table 6." } }, { "id": "minimax-m2.7", "name": "MiniMax M2.7", "provider": "MiniMax", "release_date": "2026-04-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5.1 blog (cross-model)." } }, { "id": "minimax-m2.1", "name": "MiniMax M2.1", "provider": "MiniMax", "release_date": "2025-12-01", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per MiniMax M2.5 model card (referenced as predecessor)." } }, { "id": "gemini-2.0-pro", "name": "Gemini 2.0 Pro", "provider": "Google", "release_date": "2025-02-05", "params_total_M": null, "params_active_M": null, "architecture": "moe", "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (1M)", "notes": "Per Gemma 3 tech report Table 6 IT (Google self-report). Gemini 2.0 Pro experimental." } }, { "id": "gemma-2-2b", "name": "Gemma 2 2B", "provider": "Google", "release_date": "2024-06-27", "params_total_M": 2000, "params_active_M": 2000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "gemma-2-9b", "name": "Gemma 2 9B", "provider": "Google", "release_date": "2024-06-27", "params_total_M": 9000, "params_active_M": 9000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "gemma-2-27b", "name": "Gemma 2 27B", "provider": "Google", "release_date": "2024-06-27", "params_total_M": 27000, "params_active_M": 27000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "gemma-3-1b", "name": "Gemma 3 1B", "provider": "Google", "release_date": "2025-03-12", "params_total_M": 1000, "params_active_M": 1000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "gemma-3-4b", "name": "Gemma 3 4B", "provider": "Google", "release_date": "2025-03-12", "params_total_M": 4000, "params_active_M": 4000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "gemma-3-12b", "name": "Gemma 3 12B", "provider": "Google", "release_date": "2025-03-12", "params_total_M": 12000, "params_active_M": 12000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemma 3 tech report Table 6 IT instruction-tuned column." } }, { "id": "phi-3-14b", "name": "Phi-3 Medium 14B", "provider": "Microsoft", "release_date": "2024-05-21", "params_total_M": 14000, "params_active_M": 14000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5", "context": "128K", "notes": "Per Phi-4 paper Table 1 (Microsoft self-test baseline)." } }, { "id": "qwen-2.5-14b-instruct", "name": "Qwen2.5-14B", "provider": "Alibaba", "release_date": "2024-09-19", "params_total_M": 14000, "params_active_M": 14000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per Phi-4 paper Table 1 baseline." } }, { "id": "llama-3.3-70b-instruct", "name": "Llama-3.3-70B-Instruct", "provider": "Meta", "release_date": "2024-12-06", "params_total_M": 70000, "params_active_M": 70000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per Phi-4 paper Table 1 baseline." } }, { "id": "openthinker2-32b", "name": "OpenThinker2-32B", "provider": "Open Thoughts", "release_date": "2025-04-04", "params_total_M": 32000, "params_active_M": 32000, "architecture": "dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Phi-4-reasoning paper Table 1 baseline (Microsoft self-test)." } }, { "id": "exaone-deep-32b", "name": "EXAONE-Deep-32B", "provider": "LG AI Research", "release_date": "2025-03-18", "params_total_M": 32000, "params_active_M": 32000, "architecture": "dense", "is_reasoning": true, "open_weights": true, "canonical_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Phi-4-reasoning paper Table 1 baseline (Microsoft self-test). 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"default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "llama-3.2-1b", "name": "Llama 3.2 1B Instruct", "provider": "Meta", "release_date": "2024-09-25", "params_total_M": 1000, "params_active_M": 1000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "qwen-2.5-1.5b", "name": "Qwen2.5-1.5B-Instruct", "provider": "Alibaba", "release_date": "2024-09-19", "params_total_M": 1500, "params_active_M": 1500, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES 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"n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "tulu-3-8b", "name": "Tulu 3 8B", "provider": "Allen AI", "release_date": "2024-11-22", "params_total_M": 8000, "params_active_M": 8000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "qwen-2.5-7b", "name": "Qwen2.5-7B-Instruct", "provider": "Alibaba", "release_date": "2024-09-19", "params_total_M": 7000, "params_active_M": 7000, "architecture": "dense", "is_reasoning": false, "open_weights": 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"rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "olmo-2-32b", "name": "OLMo 2 32B Instruct", "provider": "Allen AI", "release_date": "2025-01-03", "params_total_M": 32000, "params_active_M": 32000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." } }, { "id": "lfm2.5-1.2b-instruct", "name": "LFM2.5-1.2B-Instruct", "provider": "Liquid AI", "release_date": "2025-11", "params_b": 1.2, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "32k", "notes": "Per Liquid AI LFM2.5 introduction blog. Instruct (non-thinking) variant." } }, { "id": "granite-4.0-h-1b", "name": "Granite-4.0-H-1B", "provider": "IBM", "release_date": "2025", "params_b": 1.0, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "IBM Granite 4.0 Hybrid 1B instruct." } }, { "id": "granite-4.0-1b", "name": "Granite-4.0-1B", "provider": "IBM", "release_date": "2025", "params_b": 1.0, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "IBM Granite 4.0 1B instruct." } }, { "id": "gemma-3-1b-it", "name": "Gemma 3 1B", "provider": "Google", "release_date": "2025", "params_b": 1.0, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "32k", "notes": "Google Gemma 3 1B instruction-tuned." } }, { "id": "llama-3.2-1b-instruct", "name": "Llama 3.2 1B", "provider": "Meta", "release_date": "2024-09", "params_b": 1.0, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k", "notes": "Meta Llama 3.2 1B Instruct." } }, { "id": "claude-sonnet-3.7", "name": "Claude Sonnet 3.7", "provider": "Anthropic", "release_date": "2025-02-24", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false }, { "id": "deepseek-3.1", "name": "DeepSeek 3.1", "provider": "DeepSeek", "release_date": "2025-08-21", "params_total_M": 685000, "params_active_M": 37000, "architecture": "MoE", "is_reasoning": false, "open_weights": true }, { "id": "mistral-large-2", "name": "Mistral Large 2", "provider": "Mistral", "release_date": "2024-07-24", "params_total_M": 123000, "params_active_M": 123000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128K", "notes": "Per Command A paper (third-party Cohere reproduction baseline)." } }, { "id": "command-r7b", "name": "Command R7B", "provider": "Cohere", "release_date": "2024-12-13", "params_total_M": 7000, "params_active_M": 7000, "architecture": "dense", "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "default", "context": "128K", "notes": "Per Command A tech report (Cohere first-party)." } }, { "id": "gemini-1.5-flash-8b", "name": "Gemini 1.5 Flash 8B", "provider": "Google", "release_date": "2024-10-03", "params_total_M": 8000, "params_active_M": 8000, "architecture": "dense", "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "1M", "notes": "Per Command A paper baseline." } }, { "id": "gpt-5-mini", "name": "GPT-5 mini", "provider": "OpenAI", "release_date": "2025-07-10", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/" }, "notes": "GPT-5 mini (high effort thinking mode). Launch data from OpenAI dev blog." }, { "id": "gpt-5-nano", "name": "GPT-5 nano", "provider": "OpenAI", "release_date": "2025-07-10", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/" }, "notes": "GPT-5 nano (high effort thinking mode). Launch data from OpenAI dev blog." }, { "id": "gpt-5.2-codex", "name": "GPT-5.2-Codex", "provider": "OpenAI", "release_date": "2025-07-10", "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": true, "open_weights": false, "canonical_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5.3-Codex blog https://openai.com/index/introducing-gpt-5-3-codex/ \u2014 shows GPT-5.2-Codex (xhigh) as cross-model baseline" }, "notes": "GPT-5.2-Codex (xhigh thinking mode). Seen as baseline in GPT-5.3-Codex blog." }, { "id": "minicpm-sala", "name": "MiniCPM-SALA", "provider": "OpenBMB", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2.5-coder-32b-instruct", "name": "Qwen2.5-Coder 32B Instruct", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "sarvam-30b", "name": "Sarvam-30B", "provider": "Sarvam AI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2.5-vl-32b-instruct", "name": "Qwen2.5 VL 32B Instruct", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "granite-3.3-8b-instruct", "name": "Granite 3.3 8B", "provider": "IBM", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "granite-3.3-8b-base", "name": "Granite 3.3 8B Base", "provider": "IBM", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gemini-diffusion", "name": "Gemini Diffusion", "provider": "Google", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "longcat-flash-chat", "name": "LongCat-Flash-Chat", "provider": "Meituan", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2.5-coder-7b-instruct", "name": "Qwen2.5-Coder 7B Instruct", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "grok-2", "name": "Grok-2", "provider": "xAI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "claude-3.5-haiku", "name": "Claude 3.5 Haiku", "provider": "Anthropic", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gpt-4-turbo", "name": "GPT-4 Turbo", "provider": "OpenAI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2-72b-instruct", "name": "Qwen2 72B Instruct", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "grok-2-mini", "name": "Grok-2 mini", "provider": "xAI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "nova-lite", "name": "Nova Lite", "provider": "Amazon", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "claude-3-opus", "name": "Claude 3 Opus", "provider": "Anthropic", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "mistral-small-3-24b-instruct", "name": "Mistral Small 3 24B Instruct", "provider": "Mistral AI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "ibm-granite-4.0-tiny-preview", "name": "IBM Granite 4.0 Tiny Preview", "provider": "IBM", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "nova-micro", "name": "Nova Micro", "provider": "Amazon", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "codestral-22b", "name": "Codestral-22B", "provider": "Mistral AI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2-7b-instruct", "name": "Qwen2 7B Instruct", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "qwen2.5-omni-7b", "name": "Qwen2.5-Omni-7B", "provider": "Alibaba", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "claude-3-haiku", "name": "Claude 3 Haiku", "provider": "Anthropic", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gemma-3n-e4b-instructed-litert-preview", "name": "Gemma 3n E4B Instructed LiteRT Preview", "provider": "Google", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gemma-3n-e4b-instructed", "name": "Gemma 3n E4B Instructed", "provider": "Google", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "grok-1.5", "name": "Grok-1.5", "provider": "xAI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "claude-3-sonnet", "name": "Claude 3 Sonnet", "provider": "Anthropic", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": false, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "pixtral-12b", "name": "Pixtral-12B", "provider": "Mistral AI", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "phi-3.5-moe-instruct", "name": "Phi-3.5-MoE-instruct", "provider": "Microsoft", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gemma-3n-e2b-instructed-litert-preview", "name": "Gemma 3n E2B Instructed LiteRT (Preview)", "provider": "Google", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "gemma-3n-e2b-instructed", "name": "Gemma 3n E2B Instructed", "provider": "Google", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." }, { "id": "phi-3.5-mini-instruct", "name": "Phi-3.5-mini-instruct", "provider": "Microsoft", "release_date": null, "params_total_M": null, "params_active_M": null, "architecture": null, "is_reasoning": false, "open_weights": true, "canonical_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "notes": "Added from llm-stats.com 2026-04-29; only third-party scores available." } ], "benchmarks": [ { "id": "aa_intelligence_index", "name": "AA Intelligence Index", "category": "Composite", "metric": "index score", "num_problems": 12826, "source_url": "https://artificialanalysis.ai/methodology/intelligence-benchmarking", "canonical_setting": { "version": "Artificial Analysis Intelligence Index v4.0.4 (March 2026)", "metric_type": "index", "range": null, "higher_is_better": true, "multimodal_input": false, "tools": "composite", "sampling": "included in num_problems", "judge": "mixed scoring protocols", "notes": "Composite weighted index over 10 evaluations. Count is actual model generations across official questions/tasks and repeats: GDPval-AA 220*1, tau2-Bench Telecom 114*3, Terminal-Bench Hard 44*3, SciCode 288*3, AA-LCR 100*3, AA-Omniscience 6000*1, IFBench 294*5, HLE text-only 2158*1, GPQA Diamond 198*5, CritPt 70*5 = 12826. Cost burden is heterogeneous; tools=composite intentionally avoids applying one agentic multiplier to every component." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index", "source_benchmark_name": "AA Intelligence Index", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 81649130, "output_tokens": 54625405, "reasoning_tokens": 49162377, "answer_tokens": 5463027, "total_tokens": 136274535 }, "total_cost_usd": 648.3154625, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 84.1, "relative_cost_to_source_anchor": 41.097, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "aa_lcr", "name": "AA Long Context Reasoning", "category": "Long Context", "metric": "% correct", "num_problems": 300, "source_url": "https://artificialanalysis.ai/methodology/intelligence-benchmarking", "canonical_setting": { "version": "Artificial Analysis Long Context Reasoning; Intelligence Index v4.0.4 methodology", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "sampling": "included in num_problems", "judge": "LLM judge: Qwen3 235B A22B 2507 Non-Reasoning equality checker", "notes": "Official AA-LCR uses 100 hard text-based long-context questions over approximately 100k-token inputs, spanning seven document categories and about 230 documents. Count records actual model generations: 100 questions times three repeats = 300. Responses are open answer and scored by an equality-checker LLM with pass@1." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning", "source_benchmark_name": "Artificial Analysis Long Context Reasoning", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 9489998, "output_tokens": 179014, "reasoning_tokens": 0, "answer_tokens": 179014, "total_tokens": 9669012 }, "total_cost_usd": 13.6526375, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 5.967, "relative_cost_to_source_anchor": 0.865, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "aethercode", "name": "AetherCode", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "AetherCode", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "agentcompany", "name": "AgentCompany", "category": "Agentic", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "canonical_setting": { "version": "AgentCompany", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per MiniMax M2 model card." }, "cost": { "source_id": "theagentcompany_paper_cost_per_instance", "source_name": "TheAgentCompany paper reported cost per instance", "source_url": "https://arxiv.org/abs/2412.14161", "source_data_url": "https://arxiv.org/html/2412.14161", "source_benchmark_name": "TheAgentCompany", "source_model_name": "OpenHands 0.28.1 + Gemini-2.5-Pro", "source_model_slug": "openhands-0.28.1; gemini-2.5-pro", "evidence_scope": "paper-reported average dollar cost per instance; derived full-pass total over 175 tasks", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 735.0, "reported_items": 175, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "TheAgentCompany paper reports $4.2 average cost per instance for OpenHands 0.28.1 + Gemini-2.5-Pro. Full-pass total is 175 tasks * $4.2 = $735. Dollar-only; raw prompt/completion token counts are not public." } }, { "id": "ai2d", "name": "AI2D", "category": "Multimodal", "metric": "%", "num_problems": null, "source_url": "https://mistral.ai/news/mistral-medium-3", "canonical_setting": { "version": "AI2D", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Mistral Medium 3 blog: AI2 Diagram understanding benchmark, 0-shot." } }, { "id": "aider_polyglot_diff", "name": "Aider Polyglot (diff mode)", "category": "Coding", "metric": "%", "num_problems": 450, "source_url": "https://aider.chat/2024/12/21/polyglot.html", "canonical_setting": { "version": "Aider Polyglot benchmark; diff edit format", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "included in num_problems", "notes": "Aider Polyglot uses 225 selected Exercism coding tasks across C++, Go, Java, JavaScript, Python, and Rust. The displayed leaderboard score corresponds to the second-try/pass_rate_2 setting, so cost count records actual model generations: 225 tasks times two tries = 450. Diff mode is selected by edit_format=diff." }, "cost": { "source_id": "aider_polyglot_leaderboard_gpt5_high_diff", "source_name": "Aider Polyglot leaderboard reported token usage and cost", "source_url": "https://github.com/Aider-AI/aider/blob/main/aider/website/_data/polyglot_leaderboard.yml#L1715-L1742", "source_benchmark_name": "Aider Polyglot (diff mode)", "source_model_name": "gpt-5 (high)", "source_model_slug": "openai/gpt-5; reasoning_effort=high", "evidence_scope": "reported leaderboard run totals for one model row", "tokens": { "prompt_tokens": 2675561, "completion_tokens": 2623429, "input_tokens": 2675561, "output_tokens": 2623429, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 5298990 }, "total_cost_usd": 29.0829, "reported_items": 225, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Aider leaderboard row reports prompt_tokens and completion_tokens for the gpt-5 (high) diff-mode run. The displayed pass_rate_2 score uses the second-try setting; source row also reports total_tests=225 and user_asks=96. Dollar cost is model/run specific." } }, { "id": "aider_polyglot_whole", "name": "Aider Polyglot (whole mode)", "category": "Coding", "metric": "%", "num_problems": 450, "source_url": "https://aider.chat/2024/12/21/polyglot.html", "canonical_setting": { "version": "Aider Polyglot benchmark; whole edit format", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "included in num_problems", "notes": "Aider Polyglot uses 225 selected Exercism coding tasks across C++, Go, Java, JavaScript, Python, and Rust. The displayed leaderboard score corresponds to the second-try/pass_rate_2 setting, so cost count records actual model generations: 225 tasks times two tries = 450. Whole mode is selected by edit_format=whole." }, "cost": { "source_id": "aider_polyglot_leaderboard_o1mini_whole_cost", "source_name": "Aider Polyglot leaderboard reported whole-mode cost", "source_url": "https://aider.chat/docs/leaderboards/", "source_data_url": "https://github.com/Aider-AI/aider/blob/main/aider/website/_data/polyglot_leaderboard.yml#L235-L259", "source_benchmark_name": "Aider Polyglot (whole mode)", "source_model_name": "o1-mini-2024-09-12", "source_model_slug": "openai/o1-mini; edit_format=whole", "evidence_scope": "reported leaderboard run cost for one whole-mode model row", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 18.577, "reported_items": 225, "reported_samples": 2, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence. Aider row reports total_cost=18.5770 for the o1-mini whole-mode run; token fields are not present for this older row. Score is pass_rate_2 over 225 tests, so BenchPress cost count treats this as the two-try setting." } }, { "id": "aime_2024", "name": "AIME 2024", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 30, "source_url": "https://artofproblemsolving.com/wiki/index.php/2024_AIME", "canonical_setting": { "version": "AIME-2024-I+II (30 problems)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "aime_2025", "name": "AIME 2025", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 30, "source_url": "https://artofproblemsolving.com/wiki/index.php/2025_AIME", "canonical_setting": { "version": "AIME-2025-I+II (30 problems)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/aime-2025", "source_benchmark_name": "AIME 2025", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 4347, "output_tokens": 590235, "reasoning_tokens": 525629, "answer_tokens": 64606, "total_tokens": 594582 }, "total_cost_usd": 5.907783749999999, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 0.367, "relative_cost_to_source_anchor": 0.374, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "aime_2026", "name": "AIME 2026", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 30, "source_url": "https://huggingface.co/datasets/MathArena/aime_2026_I", "canonical_setting": { "version": "AIME-2026-I+II (30 problems)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_aime_2026_outputs_deepseek_v3_2_think", "source_name": "MathArena AIME 2026 model outputs", "source_url": "https://huggingface.co/datasets/MathArena/aime_2026_outputs", "source_data_url": "https://huggingface.co/datasets/MathArena/aime_2026_outputs", "source_benchmark_name": "AIME 2026", "source_model_name": "DeepSeek-v3.2 (Think)", "source_model_slug": "deepseek-v3.2-think", "evidence_scope": "observed model-inference totals over public MathArena output rows", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 17637, "output_tokens": 1782506, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1800143 }, "total_cost_usd": 0.75359088, "reported_items": 30, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena output logs cover 120 attempts = 30 problems x 4 runs. Cost uses published per-token rates: 17,637 input tokens at $0.28/M plus 1,782,506 output tokens at $0.42/M = $0.75359088." } }, { "id": "ainstein_bench", "name": "AInsteinBench", "category": "Science Discovery", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "AInsteinBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "all_angles", "name": "All-Angles", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "All-Angles", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "alpacaeval_2", "name": "AlpacaEval 2.0 (LC-winrate)", "category": "Chat", "metric": "%", "num_problems": null, "source_url": "https://arxiv.org/abs/2501.12948", "canonical_setting": { "version": "AlpacaEval 2.0 (LC-winrate)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per DS R1 paper." }, "cost": { "source_id": "alpacaeval_2_readme_weighted_gpt4_turbo_price", "source_name": "AlpacaEval README evaluator price table", "source_url": "https://raw.githubusercontent.com/tatsu-lab/alpaca_eval/main/README.md", "source_data_url": "https://huggingface.co/datasets/tatsu-lab/alpaca_eval/raw/main/alpaca_eval.json", "source_benchmark_name": "AlpacaEval 2.0", "source_model_name": "weighted_alpaca_eval_gpt4_turbo auto-annotator", "source_model_slug": "weighted_alpaca_eval_gpt4_turbo; baseline=gpt4_turbo", "evidence_scope": "automatic judge/annotation cost for AlpacaEval 2.0 evaluation set; excludes candidate model output generation", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 4.4275, "reported_items": 805, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "README reports evaluator price as $5.5 per 1000 examples and states AlpacaEval 2.0 costs less than $10/run. The public dataset has 805 examples; total_cost_usd is mechanically derived as 5.5 * 805 / 1000. This is judge-only cost, not candidate model generation cost." } }, { "id": "apex_agents", "name": "APEX-Agents", "category": "Agentic", "source_url": "https://deepmind.google/models/evals-methodology/gemini-3-pro", "num_problems": null, "canonical_setting": { "version": "APEX-Agents (long-horizon professional tasks)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "DeepMind APEX-Agents long-horizon professional benchmark. Distinct from MathArena Apex 2025." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/apex-agents-aa", "source_benchmark_name": "APEX-Agents", "source_model_name": "Gemini 3 Flash Preview (Reasoning)", "source_model_slug": "gemini-3-flash-reasoning", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 1125772887.3333333, "output_tokens": 11152637, "reasoning_tokens": 9216933.333333334, "answer_tokens": 1935703.6666666667, "total_tokens": 1136925524.3333333 }, "total_cost_usd": 596.3443546666666, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 701.641, "relative_cost_to_source_anchor": 37.802, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. fallback: Gemini 2.5 Pro has no APEX-Agents token row; Gemini 3 Flash Reasoning is present on this page" } }, { "id": "apex_shortlist", "name": "Apex Shortlist", "category": "Math", "metric": "% correct (pass@1)", "num_problems": null, "source_url": "https://matharena.ai/apex/", "canonical_setting": { "version": "Apex shortlist", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_apex_shortlist_outputs_gpt_5_2_high", "source_name": "MathArena Apex Shortlist 2025 model outputs", "source_url": "https://matharena.ai/apex/", "source_data_url": "https://huggingface.co/datasets/MathArena/apex_shortlist_outputs", "source_benchmark_name": "Apex Shortlist 2025", "source_model_name": "GPT-5.2 (high)", "source_model_slug": "gpt-5.2-high", "evidence_scope": "observed model-inference totals over public MathArena output rows", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 198248, "output_tokens": 10502349, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 10700597 }, "total_cost_usd": 147.37982, "reported_items": 48, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena output logs cover 192 attempts = 48 problems x 4 runs for GPT-5.2 (high). Cost uses 198,248 input tokens at $1.75/M plus 10,502,349 output tokens at $14/M = $147.37982." } }, { "id": "arc_agi_1", "name": "ARC-AGI-1", "category": "Reasoning", "metric": "% correct", "num_problems": 400, "source_url": "https://arcprize.org/arc-agi/1/", "canonical_setting": { "version": "ARC-AGI-1 (semi-private 400)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "arc_prize_o3_preview_arc_agi_1_compute_table", "source_name": "ARC Prize o3-preview ARC-AGI-1 compute table", "source_url": "https://arcprize.org/blog/oai-o3-pub-breakthrough", "source_benchmark_name": "ARC-AGI-1 Public / High compute", "evidence_scope": "observed model-inference totals for the reported o3-preview public high-compute run", "tokens": { "total_tokens": 111000000 }, "total_cost_usd": 66772.0, "reported_items": 400, "reported_samples": 6, "notes": "ARC Prize reports 400 public tasks, 6 samples, 111M tokens, and $66,772 total retail cost for this o3-preview high-compute run. This is not a benchmark-required fixed cost." } }, { "id": "arc_agi_2", "name": "ARC-AGI-2", "category": "Reasoning", "metric": "% correct", "num_problems": 400, "source_url": "https://arcprize.org/arc-agi/2/", "canonical_setting": { "version": "ARC-AGI-2 (semi-private 400)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "arcprize_arc_agi_2_leaderboard_cost", "source_name": "ARC Prize leaderboard data", "source_url": "https://arcprize.org/leaderboard", "source_data_url": "https://arcprize.org/media/data/leaderboard/v2.json", "source_benchmark_name": "ARC-AGI-2", "source_model_name": "o3 (High)", "source_model_slug": "o3-2025-04-16-high", "evidence_scope": "official leaderboard costPerTask for the source model row; derived full-benchmark total over 400 tasks", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 333.56, "reported_items": 400, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Official leaderboard reports costPerTask=$0.8339 for o3 (High). Derived full 400-task benchmark total is $0.8339*400=$333.56. Cost is model/run specific." } }, { "id": "arc_challenge", "name": "ARC Challenge", "category": "Reasoning", "source_url": "https://arxiv.org/abs/1803.05457", "num_problems": null, "canonical_setting": { "version": "ARC Challenge (10-shot)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "AI2 ARC Challenge subset." } }, { "id": "arcagi1_image", "name": "ArcAGI1-Image", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ArcAGI1-Image", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "arcagi2_image", "name": "ArcAGI2-Image", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ArcAGI2-Image", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "arena_hard", "name": "Arena-Hard Auto", "category": "Instruction Following", "metric": "% win rate", "num_problems": 500, "source_url": "https://lmarena.ai/", "canonical_setting": { "version": "Arena-Hard-Auto", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "arena_hard_auto_paper_20usd", "source_name": "Arena-Hard-Auto paper reported benchmark cost", "source_url": "https://arxiv.org/abs/2406.11939", "source_data_url": "https://arxiv.org/html/2406.11939v2", "source_benchmark_name": "Arena-Hard-Auto", "source_model_name": "LLM-as-judge evaluation pipeline", "source_model_slug": "arena-hard-auto-judge-pipeline", "evidence_scope": "paper-reported total benchmark cost for 500 prompts", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 20.0, "reported_items": 500, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Arena-Hard-Auto / BenchBuilder paper reports the benchmark reaches high human-correlation at a cost of $20 over 500 prompts, or $0.04 per prompt. Paper-level dollar evidence only; raw token logs are not public." } }, { "id": "artifactsbench", "name": "ArtifactsBench", "category": "Coding", "metric": "%", "num_problems": 5475, "source_url": "https://github.com/Tencent-Hunyuan/ArtifactsBenchmark", "canonical_setting": { "version": "ArtifactsBench full benchmark; MiniMax-M2 reported setting", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none for model; evaluator renders generated artifacts and captures screenshots", "sampling": "included in num_problems", "judge": "Gemini-2.5-Pro MLLM-as-Judge with checklist-guided scoring", "notes": "Official ArtifactsBench contains 1825 diverse tasks / HF rows. The MiniMax-M2 score source reports scores averaged over three runs with the official implementation and stable Gemini-2.5-Pro judge. Count records actual model generations for the BenchPress row: 1825 tasks times three runs = 5475. Evaluation renders generated artifacts, captures dynamic behavior, and scores visual/interactivity quality with a multimodal judge." } }, { "id": "babe", "name": "BABE", "category": "Reasoning", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "BABE", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "babyvision", "name": "BabyVision", "category": "Multimodal", "source_url": "https://huggingface.co/datasets/UnipatAI/BabyVision", "num_problems": 388, "canonical_setting": { "version": "BabyVision MLLM evaluation", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "judge": "LLM judge compares model output to ground truth answer", "sampling": "pass@1", "notes": "Official BabyVision MLLM evaluation has 388 visual reasoning tasks; BabyVision-Gen is a separate generation-track benchmark." }, "metric": "% accuracy" }, { "id": "beyond_aime", "name": "Beyond AIME", "category": "Math", "metric": "%", "num_problems": 100, "source_url": "https://huggingface.co/datasets/ByteDance-Seed/BeyondAIME", "canonical_setting": { "version": "Beyond AIME", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "HF dataset card reports one test split with 100 problems; answers are positive integers with automated exact verification. Per Seed-Thinking-v1.5 paper." } }, { "id": "bfcl", "name": "BFCL", "category": "Tool use", "source_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "num_problems": null, "canonical_setting": { "version": "Berkeley Function Calling Leaderboard (Tau-bench predecessor)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Function calling benchmark. Distinct from bfcl_v3." } }, { "id": "bfcl_v3", "name": "BFCL v3", "category": "Tool use", "source_url": "https://gorilla.cs.berkeley.edu/leaderboard.html", "num_problems": null, "canonical_setting": { "version": "BFCL v3 (Berkeley Function Calling Leaderboard)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Function-calling benchmark, FC format" } }, { "id": "bfcl_v3_multiturn", "name": "BFCL v3 (Multi-Turn)", "category": "Tool Use", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "canonical_setting": { "version": "BFCL v3 (Multi-Turn)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per DeepSeek R1-0528 model card." } }, { "id": "bfcl_v4", "name": "BFCL v4", "category": "Tool Use", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "BFCL v4", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "tool calls", "notes": "Per Doubao Seed 2.0 Pro model card." }, "cost": { "source_id": "bfcl_v4_leaderboard_gemini_3_pro_fc", "source_name": "Berkeley Function Calling Leaderboard v4 cost table", "source_url": "https://gorilla.cs.berkeley.edu/leaderboard.html", "source_data_url": "https://gorilla.cs.berkeley.edu/data_overall.csv", "source_benchmark_name": "BFCL v4", "source_model_name": "Gemini-3-Pro-Preview (FC)", "source_model_slug": "gemini-3-pro-preview-fc", "evidence_scope": "reported leaderboard total dollar cost for the source model row on the entire benchmark", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 224.69, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence: BFCL reports Total Cost ($) as an estimate for the entire benchmark, but the CSV does not report token counts. This row matches the BenchPress bfcl_v4 score cell for gemini-3-pro." } }, { "id": "bigbench_extra_hard", "name": "BigBench Extra Hard", "category": "Reasoning", "source_url": "https://huggingface.co/blog/gemma4", "num_problems": null, "canonical_setting": { "version": "BigBench Extra Hard", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Hard subset of BIG-Bench." } }, { "id": "bigbench_hard", "name": "BigBench Hard (BBH)", "category": "Reasoning", "source_url": "https://arxiv.org/abs/2210.09261", "num_problems": null, "canonical_setting": { "version": "BBH 0-shot CoT", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "BIG-Bench Hard subset. Distinct from bigbench_extra_hard." } }, { "id": "bigcodebench", "name": "BigCodeBench", "category": "Coding", "metric": "pass@1 %", "num_problems": 1140, "source_url": "https://bigcode-bench.github.io/", "canonical_setting": { "version": "BigCodeBench (1140 full set)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" } }, { "id": "biobench", "name": "BIObench", "category": "Science Discovery", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "BIObench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "bird_sql", "name": "Bird-SQL (Dev)", "category": "Coding", "source_url": "https://bird-bench.github.io/", "num_problems": null, "canonical_setting": { "version": "Bird-SQL Dev split (NL\u2192SQL)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Natural language to executable SQL on Bird-SQL dev split." } }, { "id": "bixbench", "name": "BixBench", "category": "Science", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "BixBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Biology/Chemistry expert-level benchmark." } }, { "id": "blink", "name": "BLINK", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "BLINK", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "browsecomp", "name": "BrowseComp", "category": "Agentic", "metric": "% correct", "num_problems": 1266, "source_url": "https://openai.com/index/browsecomp/", "canonical_setting": { "version": "BrowseComp (1266)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" } }, { "id": "browsecomp_cm", "name": "BrowseComp (w/ Context Manage)", "category": "Agentic", "metric": "accuracy (%)", "num_problems": null, "source_url": "https://z.ai/blog/glm-4.7", "notes": "BrowseComp evaluated with context management (discard-all strategy). Distinct from plain BrowseComp. First reported in GLM-4.7 blog; GLM-5.1 footnote: \"without context management we retain details from the most recent 5 turns; with context management we use the same discard-all strategy as GLM-5 and DeepSeek-v3.2.\"", "canonical_setting": { "version": "BrowseComp with discard-all context management", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Context management: discard-all strategy (not retain-5-turns). Per z.ai/blog/glm-4.7 and GLM-5.1 blog footnote." } }, { "id": "browsecomp_long_context_128k", "name": "BrowseComp Long Context 128k", "category": "Long Context", "metric": "% accuracy", "num_problems": 1266, "source_url": "https://openai.com/index/gpt-5-1-for-developers/", "canonical_setting": { "version": "BrowseComp Long Context 128k", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none specified for the 128k long-context row", "sampling": "pass@1", "notes": "OpenAI GPT-5.1 appendix reports BrowseComp Long Context 128k but does not publish a separate count. Use the official BrowseComp 1,266-row test set as the source-backed count unless a 128k-specific slice is found." } }, { "id": "browsecomp_long_context_256k", "name": "BrowseComp Long Context 256k", "description": "BrowseComp long-context retrieval benchmark, 256k context", "canonical_setting": { "judge": "rule-based", "notes": "Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/" }, "category": "Long Context" }, { "id": "browsecomp_zh", "name": "BrowseComp-ZH", "category": "Agentic search", "source_url": "https://github.com/PALIN2018/BrowseComp-ZH", "num_problems": 1156, "canonical_setting": { "version": "BrowseComp-ZH official 289-question benchmark; Moonshot avg@4 setting", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "web browsing and search tools", "sampling": "included in num_problems", "judge": "LLM-assisted answer extraction / grading", "notes": "BrowseComp-ZH official paper and repository define 289 native-Chinese multi-hop web-browsing questions across 11 domains. The Moonshot/Kimi score source reports BrowseComp-ZH with avg@4, so the cost count records actual model generations: 289 questions times 4 independent runs = 1,156. Do not use the parent English BrowseComp count." } }, { "id": "brumo_2025", "name": "BRUMO 2025", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 30, "source_url": "https://huggingface.co/datasets/MathArena/brumo_2025", "canonical_setting": { "version": "BRUMO 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "sampling": "samples=4", "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_brumo_2025_outputs_kimi_k25", "source_name": "MathArena BRUMO 2025 output logs", "source_url": "https://huggingface.co/datasets/MathArena/brumo_2025_outputs", "source_data_url": "https://huggingface.co/datasets/MathArena/brumo_2025_outputs/resolve/main/data/train-00000-of-00001.parquet", "source_benchmark_name": "BRUMO 2025", "source_model_name": "Kimi K2.5 (Think)", "source_model_slug": "moonshot/k25", "evidence_scope": "observed model-inference totals for 30 problems x 4 sampled answers", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 12849, "output_tokens": 2429415, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 2442264 }, "total_cost_usd": 7.2959544, "reported_items": 30, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena public output parquet contains per-answer input_tokens, output_tokens, and cost. Totals are mechanically summed over rows with model_config='moonshot/k25'. Dollar cost is model/run specific." } }, { "id": "bullshit_pushback", "name": "Bullshit-Bench (Clear Pushback)", "category": "Behavior", "metric": "% clear pushback", "num_problems": 55, "source_url": "https://github.com/petergpt/bullshit-benchmark", "canonical_setting": { "version": "Bullshit-pushback (55)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "bullshitbench_v1_latest_responses_openai_gpt54_none", "source_name": "BullshitBench v1 published response usage logs", "source_url": "https://github.com/petergpt/bullshit-benchmark", "source_data_url": "https://raw.githubusercontent.com/petergpt/bullshit-benchmark/main/data/latest/responses.jsonl", "source_benchmark_name": "BullshitBench v1 / Clear Pushback", "source_model_name": "openai/gpt-5.4@reasoning=none", "source_model_slug": "openai_gpt-5.4_reasoning_none", "evidence_scope": "sum of published response usage over 55 v1 BullshitBench prompts for the tested model row; model-answer collection only", "tokens": { "prompt_tokens": 2008, "completion_tokens": 36600, "input_tokens": null, "output_tokens": null, "reasoning_tokens": 0, "answer_tokens": null, "total_tokens": 38608 }, "total_cost_usd": 0.55402, "reported_items": 55, "reported_samples": 55, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Raw JSON stream exposes per-sample prompt/completion/total/reasoning tokens and cost. This sums the model response collection rows only; separate judge-panel costs, if any, are not included." } }, { "id": "c_eval", "name": "C-Eval (Chinese)", "category": "Knowledge", "metric": "%", "num_problems": 12342, "source_url": "https://huggingface.co/datasets/ceval/ceval-exam", "canonical_setting": { "version": "C-Eval (Chinese)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "HF dataset card reports 13,948 total questions across splits; the test split has 12,342 scored multiple-choice questions across 52 subjects." } }, { "id": "cgbench", "name": "CGBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "CGBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "chartqa", "name": "ChartQA", "category": "Multimodal", "metric": "%", "num_problems": null, "source_url": "https://mistral.ai/news/mistral-medium-3", "canonical_setting": { "version": "ChartQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Mistral Medium 3 blog: Chart visual question answering, 0-shot." } }, { "id": "chartqapro", "name": "ChartQAPro", "category": "Document/Chart", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ChartQAPro", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "charxiv_descriptive", "name": "CharXiv Descriptive", "category": "Vision", "metric": "% accuracy", "num_problems": 4000, "source_url": "https://charxiv.github.io/", "canonical_setting": { "version": "CharXiv validation descriptive questions", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "sampling": "pass@1", "notes": "Official leaderboard validation set has 1,000 charts and 5,000 questions; HF schema has four descriptive question fields per chart, so descriptive evaluation is 4,000 model answers." } }, { "id": "charxiv_reasoning", "name": "CharXiv Reasoning", "category": "Multimodal", "metric": "% accuracy", "num_problems": 1000, "source_url": "https://charxiv.github.io/", "canonical_setting": { "version": "CharXiv validation reasoning questions", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "sampling": "pass@1", "notes": "Official leaderboard validation set has 1,000 charts and 5,000 questions; HF schema has one reasoning question per chart, so reasoning evaluation is 1,000 model answers." } }, { "id": "chatbot_arena_elo", "name": "Chatbot Arena Elo", "category": "Human Preference", "metric": "Elo rating", "num_problems": 8000, "source_url": "https://arxiv.org/abs/2403.04132", "canonical_setting": { "version": "LMArena Chatbot Arena live Elo, text-only general leaderboard", "metric_type": "elo", "range": null, "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "human pairwise preference votes", "notes": "Live crowdsourced pairwise comparison benchmark. The paper reports over 240K votes total and about 8K votes per model on average as of Jan 2024; use 8K battles as the source-backed per-model cost proxy. No fixed static item set." } }, { "id": "chinese_simpleqa", "name": "Chinese-SimpleQA", "category": "Knowledge", "metric": "%", "num_problems": 3000, "source_url": "https://huggingface.co/datasets/OpenStellarTeam/Chinese-SimpleQA", "canonical_setting": { "version": "Chinese-SimpleQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "LLM grader", "sampling": "single-pass; no repeated sampling specified", "notes": "Protocol audit: short Chinese factual QA. Each item asks a short-answer factual question; model output is judged for correctness against reference answers. HF dataset card reports 3,000 questions across 6 topics and says grading is run via existing LLMs. No tools, multimodal input, long context, multi-turn interaction, or repeated sampling is specified." } }, { "id": "cl_bench", "name": "CL-Bench", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "CL-Bench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "claw_eval_pass3", "name": "Claw Eval (pass^3)", "category": "Agentic", "source_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "num_problems": null, "canonical_setting": { "version": "Claw Eval v1.1 (pass^3)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "max-tokens-per-step=16384." } }, { "id": "cluewsc", "name": "CLUEWSC", "category": "Chinese", "metric": "%", "num_problems": 2574, "source_url": "https://huggingface.co/datasets/clue/clue", "canonical_setting": { "version": "CLUEWSC", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "rule-based", "sampling": "single-pass", "notes": "Protocol audit: Chinese Winograd/coreference-style binary classification. Each item contains a Chinese text and two target spans; the model predicts true/false and scoring is exact match/accuracy against the class label. HF clue/clue dataset card reports cluewsc2020 splits with 2,574 test examples, 1,244 train examples, and 304 validation examples. No LLM judge, tools, multimodal input, long context, multi-turn interaction, or repeated sampling is used." } }, { "id": "cmimc_2025", "name": "CMIMC 2025", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 40, "source_url": "https://huggingface.co/datasets/MathArena/cmimc_2025", "canonical_setting": { "version": "CMIMC 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "sampling": "samples=4", "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_cmimc_2025_outputs_kimi_k2_thinking_cost", "source_name": "MathArena CMIMC 2025 output logs for Kimi K2 Thinking", "source_url": "https://huggingface.co/datasets/MathArena/cmimc_2025_outputs", "source_data_url": "https://huggingface.co/datasets/MathArena/cmimc_2025_outputs/resolve/refs%2Fconvert%2Fparquet/default/train/0000.parquet", "source_benchmark_name": "CMIMC 2025", "source_model_name": "Kimi K2 Thinking", "source_model_slug": "moonshot/k2-thinking", "evidence_scope": "observed model-inference totals over public MathArena output rows", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 24541, "output_tokens": 4190329, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 4214870 }, "total_cost_usd": 10.490547, "reported_items": 40, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena public outputs contain per-attempt input_tokens, output_tokens, and estimated API cost. Aggregate is over 160 attempts = 40 problems x 4 samples for Kimi K2 Thinking." } }, { "id": "cmmlu", "name": "CMMLU (Chinese)", "category": "Knowledge", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "canonical_setting": { "version": "CMMLU (Chinese)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per DeepSeek V4-Pro model card." } }, { "id": "cnmo_2024", "name": "CNMO 2024", "category": "Math", "metric": "%", "num_problems": 6, "source_url": "https://www.cms.org.cn/Home/comp/comp_details/id/1253.html", "canonical_setting": { "version": "CNMO 2024", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "rule-based", "sampling": "samples=16", "notes": "Protocol audit: Chinese National High School Mathematics Olympiad 2024 finals, pure text olympiad math. The official CMS page identifies the 2024 national final / 40th winter camp; the standard CMO format is two days with 3 problems per day (format source: https://zh.wikipedia.org/wiki/\u4e2d\u56fd\u6570\u5b66\u5965\u6797\u5339\u514b), so the scored set has 6 proof-style math problems. DeepSeek-R1-0528 reports CNMO 2024 as Pass@1 and states that benchmarks requiring sampling use temperature 0.6, top-p 0.95, and 16 responses per query to estimate pass@1. Scoring is rule-based/manual exact mathematical correctness; no LLM judge, tools, multimodal input, long context, or multi-turn interaction." } }, { "id": "codeforces_avg8", "name": "Codeforces (avg@8)", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://arxiv.org/abs/2504.13914", "canonical_setting": { "version": "Codeforces (avg@8)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Seed-Thinking-v1.5 paper." } }, { "id": "codeforces_pass8", "name": "Codeforces (pass@8)", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://arxiv.org/abs/2504.13914", "canonical_setting": { "version": "Codeforces (pass@8)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Seed-Thinking-v1.5 paper." } }, { "id": "codeforces_rating", "name": "Codeforces Rating", "category": "Coding", "metric": "Elo rating", "num_problems": null, "source_url": "https://codeforces.com/", "canonical_setting": { "version": "Codeforces live rating", "metric_type": "rating", "range": null, "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" } }, { "id": "codesimpleqa", "name": "CodeSimpleQA", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "CodeSimpleQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "collie", "name": "COLLIE", "category": "Instruction Following", "metric": "%", "num_problems": 2080, "source_url": "https://arxiv.org/abs/2307.08689", "canonical_setting": { "version": "COLLIE", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "rule-based", "sampling": "pass@1; single response", "notes": "Protocol audit: constrained text generation benchmark. Each item renders a natural-language instruction from a formal COLLIE constraint structure; the model outputs free-form text, and scoring checks whether the generated text satisfies the target constraint. The COLLIE paper reports COLLIE-v1 has 2,080 instances across 13 constraint structures. The official repo documents evaluation via the constraint checker, so scoring is rule-based/programmatic rather than LLM-judged. BenchPress cells from OpenAI/Doubao reports use pass@1/single-response settings. No tools, multimodal input, long context, or multi-turn interaction is used." } }, { "id": "complexfuncbench", "name": "ComplexFuncBench", "category": "Tool Use", "metric": "%", "num_problems": 1000, "source_url": "https://github.com/THUDM/ComplexFuncBench", "canonical_setting": { "version": "ComplexFuncBench 128k long-context function calling", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "function calling", "judge": "ComplexEval automatic matching plus final-response LLM evaluation", "notes": "Official paper/repo define 1,000 samples: 600 single-domain and 400 cross-domain. Each sample is a multi-step function-calling dialogue; average 3.26 steps and 5.07 calls per sample. Includes real API responses and 128k long-context cases." } }, { "id": "contphy", "name": "ContPhy", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ContPhy", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "corpusqa_1m", "name": "CorpusQA 1M", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "canonical_setting": { "version": "CorpusQA 1M", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per DeepSeek V4-Pro model card." } }, { "id": "countbench", "name": "CountBench", "category": "Vision Counting", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "CountBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "covost2", "name": "CoVoST2 (21 lang)", "category": "Audio", "source_url": "https://github.com/facebookresearch/covost", "num_problems": null, "canonical_setting": { "version": "CoVoST2 21-language speech translation (BLEU)", "metric_type": "bleu", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "Automatic speech translation across 21 languages (BLEU score)." } }, { "id": "creative_writing_v3", "name": "Creative Writing v3 (Elo Normalized)", "category": "Creative", "metric": "elo", "num_problems": null, "source_url": "https://x.ai/news/grok-4-1", "canonical_setting": { "version": "Creative Writing v3 (Elo Normalized)", "metric_type": "elo", "range": [ 1000, 2000 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Creative Writing v3: 32 prompts \u00d7 3 iterations. LLM-judged with rubrics + pairwise battles. Elo normalized. Per xAI Grok 4.1 blog." }, "cost": { "source_id": "eqbench_creative_writing_v3_official_judge_cost", "source_name": "EQ-Bench Creative Writing v3 official benchmark documentation", "source_url": "https://eqbench.com/about.html#creative-writing-v3", "source_data_url": "https://eqbench.com/creative_writing.html", "source_benchmark_name": "Creative Writing v3", "source_model_name": "Claude judge for Creative Writing v3 scoring", "source_model_slug": "judge=claude-sonnet; benchmark=creative-writing-v3", "evidence_scope": "official approximate judge/evaluation API cost for scoring one model", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 10.0, "reported_items": 32, "reported_samples": 3, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Official EQ-Bench documentation states Creative Writing v3 runs 32 writing prompts for 3 iterations and scoring a model costs around $10 in API fees. Judge/evaluation cost only; evaluated-model inference cost and token counts are not reported." } }, { "id": "critpt", "name": "CritPt", "category": "Science", "metric": "% correct", "num_problems": 70, "source_url": "https://huggingface.co/datasets/CritPt-Benchmark/CritPt", "canonical_setting": { "version": "CRITPT", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Protocol audit: frontier research-level physics benchmark. The public test set has 70 challenges; the broader benchmark has 71 composite research challenges plus an example and 190 checkpoint tasks. Each challenge is a text-only, unpublished physics research problem spanning modern physics subfields, with guess-resistant, machine-verifiable answers. Primary leaderboard metric is average challenge accuracy over 5 runs x 70 test challenges. The official pipeline submits complete batches to an automated grading server customized for advanced physics-specific output formats. Canonical BenchPress setting is no tools; with-code/web-tool variants are non-canonical. The official repo's no-tool config disables Python and web search; reasoning-model examples use large reasoning budgets (e.g. 27k reasoning tokens).", "tools": "none", "judge": "automated rule-based scoring server", "sampling": "trials=5" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/critpt", "source_benchmark_name": "CritPt", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 373931, "output_tokens": 1815626, "reasoning_tokens": 1557371, "answer_tokens": 258255, "total_tokens": 2189557 }, "total_cost_usd": 18.62367375, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 1.351, "relative_cost_to_source_anchor": 1.181, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "crossvid", "name": "CrossVid", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "CrossVid", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "ctf_internal", "name": "Capture-the-Flags challenge tasks (Internal)", "category": "Cyber", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "Capture-the-Flags challenge tasks (Internal)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Hardest CTF challenges from system cards plus additional hard challenges." } }, { "id": "cybench", "name": "Cybench", "category": "Cyber", "metric": "%", "num_problems": 40, "source_url": "https://arxiv.org/abs/2408.08926", "canonical_setting": { "version": "Cybench (public)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Public CTF benchmark: 40 challenges from 4 competitions (Zhang et al., 2024). Anthropic evaluated 39/40 (1 skipped due to infra/timing). Score = % of 39 attempted. Pass@30 trials." }, "cost": { "source_id": "cybench_paper_gpt4o_baseline_unguided_tokens", "source_name": "Cybench paper baseline unguided token usage tables", "source_url": "https://arxiv.org/abs/2408.08926", "source_data_url": "https://arxiv.org/e-print/2408.08926", "source_benchmark_name": "Cybench", "source_model_name": "GPT-4o + structured bash baseline agent", "source_model_slug": "gpt-4o; agent=structured-bash-baseline; mode=unguided", "evidence_scope": "reported input/output token totals for one baseline unguided run over all 40 Cybench tasks", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 1722210, "output_tokens": 292420, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 2014630 }, "total_cost_usd": null, "reported_items": 40, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Token-only evidence from the Cybench paper source tables. Values are printed in thousands and converted to raw tokens. This is a GPT-4o structured-bash baseline unguided run, not Anthropic's later 39/40 pass@30 setup." } }, { "id": "cybergym", "name": "CyberGym", "category": "Agentic", "metric": "% solved", "num_problems": 1507, "source_url": "https://www.cybergym.io/", "canonical_setting": { "version": "CyberGym Level 1 vulnerability reproduction", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic code execution environment", "judge": "PoC reproduced on vulnerable version and not on fixed version", "notes": "Official benchmark has 1,507 historical vulnerability instances from 188 projects. Agents receive vulnerability description and unpatched codebase, generate PoCs, and are scored by execution against vulnerable/fixed program versions. The 10-task subset is not canonical." } }, { "id": "cybersecurity_ctf", "name": "Cybersecurity Capture The Flag Challenges", "category": "Cyber", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "canonical_setting": { "version": "Cybersecurity Capture The Flag Challenges", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Cybersecurity CTF benchmark per OpenAI GPT-5.3-Codex blog. Note: distinct from ctf_internal (GPT-5.5 blog uses different problem set)." } }, { "id": "da_2k", "name": "DA-2K", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DA-2K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "deepconsult", "name": "DeepConsult", "category": "Deep Research", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DeepConsult", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "research tools", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "deepresearchbench", "name": "DeepResearchBench", "category": "Deep Research", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DeepResearchBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "research tools", "notes": "Per Doubao Seed 2.0 Pro model card." }, "cost": { "source_id": "deepresearchbench_official_race_judge_cost", "source_name": "DeepResearch Bench official judge-cost table", "source_url": "https://deepresearch-bench.github.io/", "source_benchmark_name": "DeepResearch Bench", "source_model_name": "Gemini 2.5 Pro Preview judge in RACE(Full)", "source_model_slug": "gemini-2.5-pro-preview; role=judge; framework=RACE", "evidence_scope": "official benchmark judge/evaluator cost per query; derived total over 100 tasks", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 13.0, "reported_items": 100, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "DeepResearch Bench official page Table 3 reports Avg. Cost=$0.13 for Gemini 2.5 Pro Preview as judge LLM within RACE(Full). The benchmark has 100 research tasks, so derived judge cost is 100*$0.13=$13.00. This is evaluator cost, not deep-research agent generation cost." } }, { "id": "deepsearchqa_acc", "name": "DeepSearchQA (Accuracy)", "category": "Search Agent", "metric": "%", "num_problems": 900, "source_url": "https://huggingface.co/datasets/google/deepsearchqa", "canonical_setting": { "version": "DeepSearchQA full 900-prompt accuracy", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "web search agent", "judge": "Gemini 2.5 Flash grading prompt", "notes": "Official Google DeepMind dataset has 900 difficult multi-step information-seeking prompts across 17 fields. Intended for LLM agents with web access. Accuracy uses the same 900 prompts as the F1 row; official evaluation uses the Kaggle starter grading prompt with gemini-2.5-flash." } }, { "id": "deepsearchqa_f1", "name": "DeepSearchQA (F1)", "category": "Search Agent", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "canonical_setting": { "version": "DeepSearchQA (F1)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per Kimi K2.6 model card." } }, { "id": "der2_bench", "name": "DeR2 Bench", "category": "Reasoning", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DeR2 Bench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "disco_x", "name": "Disco-X", "category": "Multilingual", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Disco-X", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "docvqa", "name": "DocVQA", "category": "Multimodal", "metric": "%", "num_problems": null, "source_url": "https://mistral.ai/news/mistral-medium-3", "canonical_setting": { "version": "DocVQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Mistral Medium 3 blog: Document visual question answering, 0-shot." } }, { "id": "drop", "name": "DROP", "category": "Reasoning", "metric": "%", "num_problems": 9536, "source_url": "https://huggingface.co/datasets/EleutherAI/drop", "canonical_setting": { "version": "DROP validation split", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "DROP is passage-question reading comprehension requiring discrete reasoning. HF EleutherAI/drop reports 77,409 train rows and 9,536 validation rows; use validation as the scored evaluation split. HF ucinlp/drop reports 9,535 validation rows, so the one-row discrepancy is noted and EleutherAI/drop is used because it matches common lm-eval-style benchmark packaging. The official paper describes DROP as a 96k-question benchmark. Official evaluation uses normalized exact match and F1 over number/date/span answers; no LLM judge or tool use.", "judge": "rule-based", "sampling": "single-pass" } }, { "id": "dude", "name": "DUDE", "category": "Document/Chart", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DUDE", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "dynamath", "name": "DynaMath", "category": "Math", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "DynaMath", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "egoschema", "name": "EgoSchema (test)", "category": "Video", "source_url": "https://egoschema.github.io/", "num_problems": null, "canonical_setting": { "version": "EgoSchema test split", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "Long-form egocentric video QA across multiple domains." } }, { "id": "egotempo", "name": "EgoTempo", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "EgoTempo", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "emma", "name": "EMMA", "category": "Vision STEM", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "EMMA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "encyclo_k", "name": "Encyclo-K", "category": "Knowledge", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Encyclo-K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "eq_bench3", "name": "EQ-Bench3 (Emotional Intelligence, Elo Normalized)", "category": "EQ", "metric": "elo", "num_problems": null, "source_url": "https://x.ai/news/grok-4-1", "canonical_setting": { "version": "EQ-Bench3 (Emotional Intelligence, Elo Normalized)", "metric_type": "elo", "range": [ 1000, 2000 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "EQ-Bench3: 45 roleplay scenarios \u00d7 3 turns. LLM-judged with rubrics + pairwise battles. Elo normalized. Per xAI Grok 4.1 blog." }, "cost": { "source_id": "eqbench3_official_judge_cost", "source_name": "EQ-Bench 3 official about page judge cost", "source_url": "https://eqbench.com/about.html", "source_benchmark_name": "EQ-Bench 3", "source_model_name": "Claude Opus 4.6 judge via OpenRouter", "source_model_slug": "claude-opus-4.6; role=judge; provider=openrouter", "evidence_scope": "official approximate judge/evaluation API cost range for one full benchmark run; midpoint stored", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 12.5, "reported_items": 45, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Official EQ-Bench about page says one full EQ-Bench 3 run (rubric plus pairwise) costs approximately $10-$15 on OpenRouter; midpoint $12.50 stored. Rubric-only cost is approximately $1.5 per iteration. Judge cost only; evaluated-model inference cost varies and is excluded." } }, { "id": "erqa", "name": "ERQA", "category": "Vision", "metric": "%", "num_problems": 400, "source_url": "https://github.com/embodiedreasoning/ERQA", "canonical_setting": { "version": "ERQA full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Official ERQA GitHub README says the full benchmark consists of 400 examples. Questions are multimodal interleaved images and text, phrased as multiple-choice questions, with answers provided as a single letter (A, B, C, D). The dataset covers embodied/spatial/trajectory/action/state-estimation reasoning for real-world robotics scenarios. HF mirrors GeorgeBredis/ERQA and FlagEval/ERQA both report 400 rows. Use exact letter accuracy; no LLM judge, tools, or agentic environment are part of the canonical benchmark.", "judge": "rule-based", "sampling": "single-pass" } }, { "id": "expert_swe", "name": "Expert-SWE (Internal)", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "Expert-SWE (Internal)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Internal OpenAI software engineering benchmark." } }, { "id": "facts_benchmark", "name": "FACTS Benchmark Suite", "category": "Factuality", "source_url": "https://deepmind.google/models/gemini/flash/", "num_problems": null, "canonical_setting": { "version": "FACTS Benchmark Suite (grounding/parametric/search/MM)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "Factuality across grounding, parametric, search, and multimodal." } }, { "id": "facts_grounding", "name": "FACTS Grounding", "category": "Factuality", "source_url": "https://arxiv.org/abs/2501.03200", "num_problems": 1719, "canonical_setting": { "version": "FACTS Grounding long-context factuality benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "FACTS Grounding evaluates whether long-form model responses are factually accurate and grounded in a provided context document. The paper reports 1,719 total examples split into Open N=860 and Blind N=859. Each prompt includes a user request and a full document, with context up to 32k tokens. Models generate long-form responses; scoring uses prompted LLM judges in two phases: responses are first disqualified if they do not fulfill the user request, then judged accurate if fully grounded in the document. The factuality score aggregates three judge models (Gemini 1.5 Pro, GPT-4o, Claude 3.5 Sonnet) to mitigate judge bias.", "tools": "none", "judge": "LLM judge ensemble (Gemini 1.5 Pro, GPT-4o, Claude 3.5 Sonnet)", "sampling": "single-pass model response; scored by three prompted judge models plus eligibility filter" } }, { "id": "factscore", "name": "FActScore (hallucination rate)", "category": "Hallucination", "metric": "%", "num_problems": 500, "source_url": "https://github.com/shmsw25/FActScore", "canonical_setting": { "version": "FActScore unlabeled 500-entity biography set; benchmark tables may use either FActScore or hallucination rate", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": false, "multimodal_input": false, "tools": "none", "judge": "retrieval+LLM judge/factuality estimator", "sampling": "single-pass generation; each biography is decomposed into atomic facts and verified against Wikipedia", "notes": "Official FActScore evaluates long-form biography generation for factual precision. The README defines two prompt-entity sets: 183 labeled entities for human-annotated sections and 500 unlabeled entities for broad model evaluation; use the 500-entity unlabeled set as the scored benchmark count. Each model generates a biography for a person entity, then FActScore decomposes the generation into atomic facts and verifies each fact against a Wikipedia knowledge source using retrieval+ChatGPT or retrieval+LLAMA+NP. The official README estimates API cost at about $1 per 100 sentences and reports that 6,500 generations from 13 LMs would have cost $26K if evaluated by humans. Some provider tables report hallucination rate (lower is better) rather than FActScore factual precision (higher is better); preserve source-level score semantics in score-cell notes." } }, { "id": "finance_agent", "name": "Finance Agent v1.1", "category": "Agentic", "metric": "% solved", "num_problems": 537, "source_url": "https://arxiv.org/abs/2508.00828", "canonical_setting": { "version": "Finance Agent Benchmark v1.1; full 537-sample evaluation", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic financial-analysis harness with GoogleSearch, EdgarSearch, ParseHTML, and RetrieveInformation tools", "notes": "Finance Agent Benchmark evaluates autonomous finance agents on expert-authored real-world financial analysis questions requiring recent SEC filings and open-web information. The paper reports 537 expert-authored questions across nine task categories; each entry includes a question, ground-truth answer, source documents, and step-by-step solution approach, and all reported metrics were calculated on the complete 537 samples. The public/private/test split is 50/150/337, but the paper's benchmark results use all 537 samples. The harness gives models Google Search, EDGAR search, HTML parsing, and retrieved-document tools. Scoring uses an LLM-as-judge rubric system: GPT-4o-generated rubrics are manually reviewed, contradiction rubrics check conflicts with the expert answer, and reported metrics include class-balanced accuracy and naive accuracy; figures default to class-balanced accuracy unless otherwise specified. Anthropic Opus 4.7 blog reports Finance Agent v1.1 scores, while the arXiv benchmark paper supplies the source-backed task count and protocol.", "judge": "LLM-as-judge rubric and contradiction grader", "sampling": "single evaluated agent run per question; paper reports class-balanced accuracy and naive accuracy" }, "cost": { "source_id": "finance_agent_paper_o3_cost_per_query", "source_name": "Finance Agent Benchmark paper cost table", "source_url": "https://arxiv.org/abs/2508.00828", "source_data_url": "https://arxiv.org/e-print/2508.00828", "source_benchmark_name": "Finance Agent Benchmark v1.1", "source_model_name": "o3", "source_model_slug": "openai/o3", "evidence_scope": "paper-reported average USD cost per query; full benchmark cost derived using 537 questions", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 2033.1365825181026, "reported_items": 537, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence. Paper reports o3 average cost per query as $3.7861; TikZ source gives 3.78610164342291. Full-run cost is mechanically derived from the source-backed 537-question benchmark size. Cost is model/run specific." } }, { "id": "finsearchcomp", "name": "FinSearchComp", "category": "Search Agent", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "FinSearchComp", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "search", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "finsearchcomp_global", "name": "FinSearchComp-Global", "category": "Search Agent", "metric": "%", "num_problems": 317, "source_url": "https://arxiv.org/abs/2509.13160", "canonical_setting": { "version": "FinSearchComp Global subset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "open-domain search agent; MiniMax-M2 reports use the open-source FinSearchComp framework with search and Python tools", "judge": "LLM-as-a-Judge with task-specific rubrics", "sampling": "single evaluated answer per question; 0-1 correctness", "notes": "FinSearchComp is an open-domain financial search and reasoning benchmark. The paper reports 635 total expert-curated questions across Global and Greater China subsets; Figure 4 gives the Global subset task counts as T1=110, T2=119, and T3=88, so FinSearchComp-Global has 317 scored questions. Each question requires external search/tool use and has a single objective answer. Scoring uses LLM-as-a-Judge with task-specific rubrics and a binary 0-1 judgment; the paper reports roughly 95% agreement with human-verified labels on a representative validation sample. MiniMax-M2 reports FinSearchComp-global scores from the open-source FinSearchComp framework using both search and Python tools." } }, { "id": "finsearchcompt23", "name": "FinSearchComp T2&T3", "category": "Search Agent", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "FinSearchComp T2&T3", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per Kimi K2.5 model card." } }, { "id": "flenqa_3k", "name": "FlenQA (3K-token)", "category": "Long Context", "source_url": "https://arxiv.org/abs/2402.14848", "num_problems": null, "canonical_setting": { "version": "FlenQA 3K-token subset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Long-context QA at 3K tokens." } }, { "id": "fleurs", "name": "FLEURS", "category": "Audio", "source_url": "https://huggingface.co/blog/gemma4", "num_problems": null, "canonical_setting": { "version": "FLEURS speech recognition (WER, lower is better)", "metric_type": "wer", "range": [ 0, 1 ], "higher_is_better": false, "multimodal_input": true, "notes": "Speech recognition WER. Lower is better." } }, { "id": "frames", "name": "Frames", "category": "Agentic search", "metric": "%", "source_url": "https://arxiv.org/abs/2409.12941", "num_problems": 824, "canonical_setting": { "version": "FRAMES test set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "retrieval/search tools over Wikipedia; official baselines include naive prompting, BM25 retrieval, oracle retrieval, and multi-step retrieval", "judge": "LLM judge/autorater", "sampling": "single answer per question; multi-step retrieval variants iteratively generate search queries", "notes": "FRAMES (Factuality, Retrieval, And reasoning MEasurement Set) evaluates end-to-end RAG systems on 824 multi-hop questions requiring information from 2-15 Wikipedia articles. The official HF dataset google/frames-benchmark has one test split with 824 rows and provides prompt, gold answer, required Wikipedia links, and reasoning-type labels. The paper evaluates single-step settings (naive prompt, BM25-retrieved prompt, oracle prompt) and a multi-step retrieval pipeline where the model generates search queries, retrieves Wikipedia documents, and answers after iterative retrieval. Answers are free-form, so scoring uses an LLM autorater to check whether the candidate answer matches the gold answer; the paper reports 0.96 accuracy and Cohen's kappa 0.889 against human annotations for Gemini-Pro-1.5-0514 as autorating LLM. Kimi K2 Thinking reports Frames under its Agentic Search section; this metadata uses the official FRAMES paper/dataset for count and protocol." } }, { "id": "frontier_science_research", "name": "Frontier Science Research", "category": "Science", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-4/", "canonical_setting": { "version": "Frontier Science Research", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Frontier-level science research benchmark. Per OpenAI GPT-5.4 blog." } }, { "id": "frontiermath", "name": "FrontierMath", "category": "Math", "metric": "% correct T1-3", "num_problems": 300, "source_url": "https://epoch.ai/benchmarks/frontiermath", "canonical_setting": { "version": "FrontierMath Tier 1-3 (300)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "frontiermath_tier4", "name": "FrontierMath Tier 4", "category": "Math", "metric": "%", "num_problems": 48, "source_url": "https://epoch.ai/benchmarks/frontiermath", "canonical_setting": { "version": "FrontierMath Tier 4 private set (48 problems)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "Python tool and submit_answer tool; code execution allowed during reasoning and answer grading", "judge": "rule-based answer-function grader", "sampling": "single evaluated run per problem; 1,000,000-token hard limit with forced submission after 660,000 tokens", "notes": "FrontierMath Tier 4 is the hardest tier of FrontierMath. Epoch\u2019s official FrontierMath page documents the current Inspect-based evaluation: each question asks the model to solve a challenging mathematics problem, may use a Python tool, and must submit a Python function answer() through submit_answer. Correct answers receive 1 point and incorrect/no-submission answers receive 0. The answer function is executed with a 30-second runtime limit on typical 2025 commodity hardware. The page reports FrontierMath-Tier-4-2025-02-28-Private and FrontierMath-Tier-4-2025-07-01-Private evaluations with 48 samples/problems (e.g. Gemini 3 Pro: 3/48 API failures; Grok 4: 8/48 API errors). Use 48 as the scored Tier-4 item count. This protocol differs from OpenAI internal FrontierMath evaluations; OpenAI score pages remain score sources, while Epoch is the benchmark-definition source." } }, { "id": "frontiersci_olympiad", "name": "FrontierSci-olympiad", "category": "Science", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "FrontierSci-olympiad", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "frontiersci_research", "name": "FrontierSci-research", "category": "Science", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "FrontierSci-research", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "fsc_147", "name": "FSC-147 (lower=better)", "category": "Vision Counting", "metric": "metric (lower=better)", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "FSC-147 (lower=better)", "metric_type": "pct", "range": null, "higher_is_better": false, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "gaia", "name": "GAIA (text only)", "category": "Agentic", "metric": "%", "num_problems": 103, "source_url": "https://arxiv.org/abs/2509.06501", "canonical_setting": { "version": "GAIA 103-sample text-only validation subset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic web-search and browse tools", "judge": "LLM-as-Judge for WebExplorer-style reported scores; GAIA original answers are unambiguous final-answer tasks", "sampling": "single reported run not specified in MiniMax-M2 card; WebExplorer reports its own benchmark scores as Avg@4", "notes": "GAIA is a benchmark for general AI assistants with 466 total questions, requiring reasoning, tool use, web browsing, and sometimes multimodality. This BenchPress row is specifically GAIA (text only), not full GAIA. MiniMax-M2 reports GAIA (text only) using the same agent framework as WebExplorer and states that it uses the 103-sample text-only GAIA validation subset following WebExplorer. WebExplorer describes the GAIA setting as a widely adopted benchmark for General AI Assistants and uses a search/browse web-agent scaffold; it reports scores on information-seeking benchmarks using LLM-as-Judge, while the original GAIA benchmark defines unambiguous final-answer questions. Use 103 as the scored item count for this text-only subset." }, "cost": { "source_id": "hal_gaia_leaderboard_gpt5_medium_api_cost", "source_name": "HAL GAIA leaderboard reported API cost", "source_url": "https://hal.cs.princeton.edu/gaia", "source_benchmark_name": "GAIA", "source_model_name": "GPT-5 Medium (August 2025)", "source_model_slug": "hal-generalist-agent_gpt-5-medium-august-2025", "evidence_scope": "official leaderboard total API cost for a verified agent run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 104.75, "reported_items": null, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only source-backed cost. HAL page reports total API cost for all GAIA tasks; BenchPress row is GAIA text-only 103-sample subset, so mapping is not exact." } }, { "id": "gdpval_aa_elo", "name": "GDPval (Artificial Analysis ELO)", "category": "Knowledge", "metric": "score", "num_problems": 220, "source_url": "https://huggingface.co/datasets/openai/gdpval", "canonical_setting": { "version": "GDPval public 220-task set; Artificial Analysis Elo aggregation", "metric_type": "index", "range": null, "higher_is_better": true, "multimodal_input": false, "tools": "office/document/spreadsheet workflow; reference files and deliverable files vary by task", "judge": "rubric-based grader / pairwise Elo aggregation in Artificial Analysis", "sampling": "single deliverable per task; AA reports Elo-style score rather than raw percent", "notes": "GDPval evaluates AI model performance on real-world economically valuable tasks. The official OpenAI HF dataset reports 220 tasks across 44 occupations; each task consists of a text prompt and supporting reference files, with expected deliverable files such as Excel workbooks, Word documents, PDFs, or other work products. Rows include human-authored rubric criteria with point values. This BenchPress row is the Artificial Analysis GDPval Elo/index view, so the score source is Artificial Analysis, but the benchmark-definition source and item count are the official OpenAI GDPval dataset. Use 220 as the scored task count; do not use the Knowledge category fallback." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/gdpval-aa", "source_benchmark_name": "GDPval-AA", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 34985674, "output_tokens": 3563478, "reasoning_tokens": 2514384, "answer_tokens": 1049093, "total_tokens": 38549152 }, "total_cost_usd": 79.3668725, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 23.79, "relative_cost_to_source_anchor": 5.031, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "gdpval_diamond", "name": "GDPVal-Diamond", "category": "Economic", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "GDPVal-Diamond", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "gdpval_oai_woe", "name": "GDPval (OpenAI wins-or-ties)", "category": "Office", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "GDPval (OpenAI wins-or-ties)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "OpenAI GDPval head-to-head wins or ties %, baseline against reference. Single-source: OpenAI GPT-5.5 blog." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/gdpval-aa", "source_benchmark_name": "GDPval-AA", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source GDPval-AA agentic evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 34985674, "output_tokens": 3563478, "reasoning_tokens": 2514384, "answer_tokens": 1049093, "total_tokens": 38549152 }, "total_cost_usd": 79.3668725, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 23.79, "relative_cost_to_source_anchor": 5.031, "notes": "Candidate/proxy. Same GDPval dataset family, but Artificial Analysis reports GDPval-AA Elo/agentic framework, not OpenAI's wins-or-ties metric." } }, { "id": "genebench", "name": "GeneBench", "category": "Science", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "GeneBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Genomics benchmark." } }, { "id": "global_mmlu_lite", "name": "Global MMLU Lite", "category": "Knowledge", "source_url": "https://huggingface.co/datasets/CohereForAI/Global-MMLU-Lite", "num_problems": 7200, "canonical_setting": { "version": "Global MMLU Lite (multilingual MMLU subset, Cohere)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Multilingual MMLU subset by Cohere. HF dataset card reports 18 languages with 400 test examples each. Distinct from MMLU (5-shot 14k EN) and MMMLU (multilingual MMLU full)." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/global-mmlu-lite", "source_benchmark_name": "Global MMLU Lite", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 3383385, "output_tokens": 30989139, "reasoning_tokens": 27435968, "answer_tokens": 3553171, "total_tokens": 34372524 }, "total_cost_usd": 314.12062125, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 21.213, "relative_cost_to_source_anchor": 19.912, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "global_piqa", "name": "Global PIQA", "category": "Reasoning", "source_url": "https://huggingface.co/datasets/mrlbenchmarks/global-piqa-parallel", "num_problems": 6283, "canonical_setting": { "version": "Global PIQA parallel test set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "exact-match multiple-choice answer key", "sampling": "single answer per multiple-choice question; prompted format selects A/B/C/D or completion format ranks candidate likelihoods", "notes": "Global PIQA is a participatory commonsense-reasoning benchmark for 100+ languages and cultures. The arXiv preprint describes 116 language varieties constructed by 335 researchers from 65 countries. The HF Global PIQA Parallel dataset card says each example has a question prompt and four candidate solutions, one correct and three incorrect; evaluation can use either prompted multiple-choice selection or completion likelihood ranking. The HF dataset-server size endpoint reports 6,283 total rows across the parallel test configurations, with 103 examples in each language-variety config that is populated in the dataset server. Google Gemini reports Global PIQA as commonsense reasoning across 100 languages and cultures; use the HF dataset row count as the scored item count." } }, { "id": "gpqa_diamond", "name": "GPQA Diamond", "category": "Science", "metric": "% correct", "num_problems": 198, "source_url": "https://arxiv.org/abs/2311.12022", "canonical_setting": { "version": "GPQA-Diamond (Rein et al. 2023)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/gpqa-diamond", "source_benchmark_name": "GPQA Diamond", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 48975, "output_tokens": 1571405, "reasoning_tokens": 1372733, "answer_tokens": 198672, "total_tokens": 1620380 }, "total_cost_usd": 15.77526875, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": 1.0, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "gpqa_main", "name": "GPQA Main (full set)", "category": "Science", "source_url": "https://arxiv.org/abs/2311.12022", "num_problems": 448, "canonical_setting": { "version": "GPQA full set (Rein et al. 2023, 448 questions)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Full GPQA. Distinct from gpqa_diamond (198 hardest subset)." }, "cost": { "source_id": "helm_capabilities_v1_15_0", "source_name": "HELM Capabilities v1.15.0", "source_url": "https://raw.githubusercontent.com/stanford-crfm/helm/main/docs/benchmark.md", "source_benchmark_name": "GPQA", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": 53239.17, "completion_tokens": 148568.469, "total_tokens": 201807.639 }, "total_cost_usd": null, "relative_tokens_to_source_anchor": 2.278, "relative_cost_to_source_anchor": null, "notes": "Inference-side token/cost evidence only; judge, human-review, tool/environment, and infrastructure costs are separate protocol factors." } }, { "id": "graphwalks_bfs_0k_128k", "name": "GraphWalks BFS 0-128K", "category": "Long Context", "metric": "%", "num_problems": 300, "source_url": "https://huggingface.co/datasets/openai/graphwalks", "canonical_setting": { "version": "GraphWalks BFS prompts with prompt_chars <=128K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "deterministic set-overlap F1 against answer node list", "sampling": "single response per graph operation; prompt includes 3-shot examples plus directed edge list and BFS operation", "notes": "OpenAI GraphWalks is a multi-hop reasoning long-context benchmark. Each prompt gives a directed graph as an edge list and asks for either a BFS result set or a parent-node result set. The official HF dataset has 1,150 rows total, with columns prompt, answer_nodes, prompt_chars, problem_type, and date_added. Counting the official parquet files gives 550 BFS rows total; filtering to problem_type=bfs and prompt_chars<=128000 gives 300 rows for this BenchPress row. Outputs are parsed from a final \"Final Answer: [...]\" list and scored by precision/recall/F1 set overlap against the answer nodes." } }, { "id": "graphwalks_bfs_128k_plus", "name": "GraphWalks BFS >128k", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/gpt-4-1/", "canonical_setting": { "version": "GraphWalks BFS >128k", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per OpenAI GPT-4.1 blog." } }, { "id": "graphwalks_bfs_256k_1m", "name": "GraphWalks BFS 256K-1M", "category": "Long Context", "metric": "% f1 (avg 256K-1M)", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "GraphWalks BFS 256K-1M", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "graphwalks_parents_0k_128k", "name": "GraphWalks parents 0-128K", "category": "Long Context", "metric": "%", "num_problems": 350, "source_url": "https://huggingface.co/datasets/openai/graphwalks", "canonical_setting": { "version": "GraphWalks parent-node prompts with prompt_chars <=128K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "deterministic set-overlap F1 against answer node list", "sampling": "single response per graph operation; prompt includes 3-shot examples plus directed edge list and parent-node operation", "notes": "OpenAI GraphWalks is a multi-hop reasoning long-context benchmark. Each prompt gives a directed graph as an edge list and asks for either a BFS result set or a parent-node result set. The official HF dataset has 1,150 rows total, with columns prompt, answer_nodes, prompt_chars, problem_type, and date_added. Counting the official parquet files gives 600 parent-node rows total; filtering to problem_type=parents and prompt_chars<=128000 gives 350 rows for this BenchPress row. Outputs are parsed from a final \"Final Answer: [...]\" list and scored by precision/recall/F1 set overlap against the answer nodes." } }, { "id": "graphwalks_parents_128k_plus", "name": "GraphWalks parents >128k", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/gpt-4-1/", "canonical_setting": { "version": "GraphWalks parents >128k", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per OpenAI GPT-4.1 blog." } }, { "id": "graphwalks_parents_256k_1m", "name": "GraphWalks parents 256K-1M", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-4/", "canonical_setting": { "version": "GraphWalks parents 256K-1M", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per OpenAI GPT-5.4 blog." } }, { "id": "gsm8k", "name": "GSM8K", "category": "Math", "metric": "% correct", "num_problems": 1319, "source_url": "https://arxiv.org/abs/2110.14168", "canonical_setting": { "version": "GSM8K (test, 1319 problems)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "helm_lite_v1_13_0", "source_name": "HELM Lite v1.13.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/lite/benchmark_output/releases/v1.13.0/groups.json", "source_benchmark_name": "GSM8K (Grade School Math)", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 286535.82300000085, "completion_tokens": 24419.654999999995, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 310955.4780000008 }, "total_cost_usd": null, "reported_items": 1000.0, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "hallusionbench", "name": "HallusionBench", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "HallusionBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "healthbench", "name": "HealthBench", "category": "Knowledge", "metric": "%", "num_problems": 5000, "source_url": "https://huggingface.co/datasets/openai/healthbench", "canonical_setting": { "version": "HealthBench full OSS eval set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "LLM judge over physician-written rubric criteria", "sampling": "single assistant completion per medical conversation prompt; scored against rubric items with point values", "notes": "HealthBench evaluates model responses to health and medical conversation prompts. The official OpenAI HF repository points to the HealthBench eval and OpenAI simple-evals reference implementation. The main OSS eval file 2025-05-07-06-14-12_oss_eval.jsonl has 5,000 rows. Each row contains a prompt conversation, example tags, and physician-written rubric criteria with point values; the public preview shows rubrics and prompt_id/canary fields. Separate official files exist for HealthBench Consensus (3,671 rows) and HealthBench Hard (1,000 rows), but this BenchPress row is the full HealthBench score, so use 5,000 items." } }, { "id": "healthbench_consensus", "name": "HealthBench Consensus", "category": "Health", "source_url": "https://arxiv.org/abs/2508.10925", "num_problems": null, "canonical_setting": { "version": "HealthBench Consensus", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Consensus subset of HealthBench." } }, { "id": "healthbench_hard", "name": "HealthBench Hard", "category": "Health", "source_url": "https://arxiv.org/abs/2508.10925", "num_problems": null, "canonical_setting": { "version": "HealthBench Hard subset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Harder subset of HealthBench." } }, { "id": "hellaswag", "name": "HellaSwag", "category": "Reasoning", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "canonical_setting": { "version": "HellaSwag", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per DeepSeek V4-Pro model card." }, "cost": { "source_id": "helm_classic_v0_4_0", "source_name": "HELM Classic v0.4.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/classic/benchmark_output/releases/v0.4.0/groups.json", "source_benchmark_name": "HellaSwag", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 36808.06637073439, "completion_tokens": 36812.809153846036, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 73620.87552458042 }, "total_cost_usd": null, "reported_items": 615.2, "reported_samples": null, "relative_tokens_to_source_anchor": 0.011, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "hiddenmath", "name": "HiddenMath", "category": "Math", "source_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "num_problems": null, "canonical_setting": { "version": "HiddenMath (held-out AIME/AMC-like, Google internal)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Google internal held-out math benchmark, AIME/AMC-style, not leaked online." } }, { "id": "hipho", "name": "HiPhO", "category": "Vision STEM", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "HiPhO", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "hle", "name": "HLE (Humanity's Last Exam)", "category": "Reasoning", "metric": "% correct", "num_problems": 2500, "source_url": "https://lastexam.ai/", "canonical_setting": { "version": "Humanity's Last Exam (2500)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/humanitys-last-exam", "source_benchmark_name": "Humanity's Last Exam", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 659476, "output_tokens": 31433801, "reasoning_tokens": 28616051, "answer_tokens": 2817750, "total_tokens": 32093277 }, "total_cost_usd": 315.162355, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 19.806, "relative_cost_to_source_anchor": 19.978, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "hle_text", "name": "HLE Text", "category": "Reasoning", "metric": "%", "num_problems": 2158, "source_url": "https://labs.scale.com/leaderboard/humanitys_last_exam_text_only", "canonical_setting": { "version": "Humanity's Last Exam text-only subset of finalized 2,500-question HLE", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "answer-key scoring for closed-ended answers", "notes": "Scale Labs states the text-only leaderboard evaluates text-based HLE questions excluding multimodal content and represents 86% of the finalized 2,500-question HLE. Public text-only mirror DongfuJiang/hle_text_only reports 2,158 rows, consistent with that 86% subset. HLE consists of multiple-choice and short-answer questions with unambiguous answers suitable for automated grading; Doubao Seed is retained only as a score source, not as the benchmark-definition source." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/humanitys-last-exam", "source_benchmark_name": "Humanity's Last Exam", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source HLE evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 659476, "output_tokens": 31433801, "reasoning_tokens": 28616051, "answer_tokens": 2817750, "total_tokens": 32093277 }, "total_cost_usd": 315.162355, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 19.806, "relative_cost_to_source_anchor": 19.978, "notes": "Family-level candidate only. Artificial Analysis reports full HLE; BenchPress hle_text is the text-only subset." } }, { "id": "hle_tools", "name": "HLE (w/ tools)", "category": "Reasoning & Knowledge", "metric": "accuracy (%)", "num_problems": 2500, "higher_is_better": true, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "notes": "Kimi K2.5 model card reports HLE-Full (w/ tools) on the full text+image HLE set. HLE paper and official HF metadata define the finalized full HLE set as 2,500 questions.", "canonical_setting": { "version": "Full text+image set with tools", "metric": "accuracy (%)", "pass_at_k": "pass@1", "multimodal_input": true, "tools": "search, code.execution, and web-browsing tools", "judge": "answer-key scoring for closed-ended answers", "notes": "Kimi K2.5 footnotes: full set means text and image; with-tools setting equips search, code-interpreter, and web-browsing tools; simple context management retains only the latest round of tool messages after the context threshold." } }, { "id": "hle_verified", "name": "HLE Verified", "category": "Search Agent", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "HLE Verified", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "search", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "hle_vl", "name": "HLE-VL", "category": "Vision Agent", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "HLE-VL", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "search", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "hmmt_feb_2025", "name": "HMMT Feb 2025", "category": "Math", "metric": "%", "num_problems": 30, "source_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2025", "canonical_setting": { "version": "HMMT Feb 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "sampling": "samples=4", "notes": "MathArena dataset has 30 questions; MathArena evaluates each model 4 times per problem." }, "cost": { "source_id": "matharena_hmmt_feb_2025_gpt52_xhigh_per_problem_cost", "source_name": "MathArena HMMT Feb 2025 per-problem evaluation cost", "source_url": "https://matharena.ai/", "source_data_url": "https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025", "source_benchmark_name": "HMMT Feb 2025", "source_model_name": "GPT-5.2 (xhigh)", "source_model_slug": "gpt-5.2-xhigh", "evidence_scope": "reported dollar cost per one model run on one problem; full official setting multiplies by 30 problems and 4 runs", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 28.8, "reported_items": 30, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena table reports $0.24 as average cost of one GPT-5.2 (xhigh) run on one HMMT Feb 2025 problem. MathArena states models are run 4 times per problem; HMMT Feb 2025 has 30 questions, so full official evaluation cost is 30*4*0.24=$28.80. Dollar-only; no token breakdown." } }, { "id": "hmmt_feb_2026", "name": "HMMT Feb 2026", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 33, "source_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2026", "canonical_setting": { "version": "HMMT Feb 2026", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "sampling": "samples=4", "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_hmmt_feb_2026_outputs_kimi_k25", "source_name": "MathArena HMMT Feb 2026 output logs", "source_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2026_outputs", "source_data_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2026_outputs/resolve/main/data/train-00000-of-00001.parquet", "source_benchmark_name": "HMMT Feb 2026", "source_model_name": "Kimi K2.5 (Think)", "source_model_slug": "moonshot/k25", "evidence_scope": "observed model-inference totals for 33 problems x 4 sampled answers", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 14612, "output_tokens": 3797023, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 3811635 }, "total_cost_usd": 11.3964827, "reported_items": 33, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena public output parquet contains per-answer input_tokens, output_tokens, and cost. Totals are mechanically summed over rows with model_config='moonshot/k25'. Dollar cost is model/run specific." } }, { "id": "hmmt_nov_2025", "name": "HMMT Nov 2025", "category": "Math", "metric": "% correct", "num_problems": 30, "source_url": "https://huggingface.co/datasets/MathArena/hmmt_nov_2025", "canonical_setting": { "version": "HMMT Nov 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "sampling": "samples=4", "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_hmmt_nov_2025_outputs_kimi_k2_thinking_cost", "source_name": "MathArena HMMT Nov 2025 output logs for Kimi K2 Thinking", "source_url": "https://huggingface.co/datasets/MathArena/hmmt_nov_2025_outputs", "source_data_url": "https://huggingface.co/datasets/MathArena/hmmt_nov_2025_outputs/resolve/refs%2Fconvert%2Fparquet/default/train/0000.parquet", "source_benchmark_name": "HMMT November 2025", "source_model_name": "Kimi K2 Thinking", "source_model_slug": "moonshot/k2-thinking", "evidence_scope": "observed model-inference totals over public MathArena output rows", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 14100, "output_tokens": 3450229, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 3464329 }, "total_cost_usd": 8.634032, "reported_items": 30, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena public outputs contain per-attempt input_tokens, output_tokens, and estimated API cost. Aggregate is over 120 attempts = 30 problems x 4 samples for Kimi K2 Thinking." } }, { "id": "humaneval", "name": "HumanEval", "category": "Coding", "metric": "pass@1 %", "num_problems": 164, "source_url": "https://github.com/openai/human-eval", "canonical_setting": { "version": "HumanEval (Chen et al. 2021)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "helm_classic_v0_4_0", "source_name": "HELM Classic v0.4.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/classic/benchmark_output/releases/v0.4.0/groups.json", "source_benchmark_name": "HumanEval (Code)", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 1022.0853658536586, "completion_tokens": 490.75609756097566, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1512.8414634146343 }, "total_cost_usd": null, "reported_items": 164.0, "reported_samples": null, "relative_tokens_to_source_anchor": 0.000216, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "humaneval_plus", "name": "HumanEval+", "category": "Coding", "source_url": "https://arxiv.org/abs/2305.01210", "num_problems": null, "canonical_setting": { "version": "HumanEval+ (Liu et al. 2023, expanded test cases)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Hardened HumanEval with extra tests." } }, { "id": "ib_modeling", "name": "Investment Banking Modeling Tasks (Internal)", "category": "Finance", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "Investment Banking Modeling Tasks (Internal)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Internal OpenAI IB modeling benchmark." } }, { "id": "ifbench", "name": "IFBench", "category": "Instruction Following", "metric": "% correct", "num_problems": 300, "source_url": "https://github.com/allenai/IFBench", "canonical_setting": { "version": "IFBench single-turn test set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "rule-based verification functions", "notes": "Correct benchmark source is AllenAI IFBench / arXiv 2507.02833, not the previously listed arXiv 2502.09980 V2V-QA paper. IFBench has 58 out-of-domain verifiable constraints; the final single-turn benchmark has 300 prompts, matching the allenai/IFBench_test HF dataset size endpoint. The paper generally reports prompt-level loose accuracy with automatic verifier functions.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/ifbench", "source_benchmark_name": "IFBench", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 24896, "output_tokens": 881559, "reasoning_tokens": 714678, "answer_tokens": 166881, "total_tokens": 906455 }, "total_cost_usd": 8.84671, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 0.559, "relative_cost_to_source_anchor": 0.561, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "ifeval", "name": "IFEval", "category": "Instruction Following", "metric": "% correct (prompt strict)", "num_problems": 541, "source_url": "https://arxiv.org/abs/2311.07911", "canonical_setting": { "version": "IFEval prompt-strict (541)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "helm_capabilities_v1_15_0", "source_name": "HELM Capabilities v1.15.0", "source_url": "https://raw.githubusercontent.com/stanford-crfm/helm/main/docs/benchmark.md", "source_benchmark_name": "IFEval", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": 9577.93, "completion_tokens": 79005.488, "total_tokens": 88583.418 }, "total_cost_usd": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "Inference-side token/cost evidence only; judge, human-review, tool/environment, and infrastructure costs are separate protocol factors." } }, { "id": "imo_2025", "name": "IMO 2025", "category": "Math", "metric": "% of 42 points", "num_problems": 6, "source_url": "https://matharena.ai/imo/", "canonical_setting": { "version": "IMO 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_imo_2025_outputs_all_models_cost", "source_name": "MathArena IMO 2025 output logs", "source_url": "https://matharena.ai/imo/", "source_data_url": "https://datasets-server.huggingface.co/rows?dataset=MathArena/imo_2025_outputs&config=default&split=train", "source_benchmark_name": "IMO 2025", "source_model_name": "All 7 MathArena-reported models", "source_model_slug": "deepseek_r1_0528; gemini-pro-2.5; gpt-5; o3; o4-mini--high; grok-4; grok-4-new", "evidence_scope": "official output-log rows with per-row input tokens, output tokens, and cost for all public IMO 2025 runs", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 79575208, "output_tokens": 212147743, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 291722951 }, "total_cost_usd": 2282.18689648, "reported_items": 6, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Summed all 168 public MathArena output rows: 6 problems, 4 answers per model/problem, 7 models. Cost is the exact sum of row cost values using prices embedded in the dataset rows." } }, { "id": "imo_answerbench", "name": "IMO-AnswerBench", "category": "Math", "source_url": "https://imobench.github.io/", "num_problems": 400, "canonical_setting": { "version": "IMO-AnswerBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "Gemini 2.5 Pro AnswerAutoGrader", "sampling": "samples=8 (reported as avg@8)", "notes": "IMO-Bench official site and arXiv 2511.01846 define IMO-AnswerBench as 400 Olympiad short-answer problems. The paper uses AnswerAutoGrader, built with Gemini 2.5 Pro, to extract final answers and assess correctness against ground truth. Kimi K2.5 reports IMO-AnswerBench with avg@8." } }, { "id": "infobench", "name": "InFoBench", "category": "Instruction following", "source_url": "https://github.com/qinyiwei/InfoBench", "num_problems": 2250, "canonical_setting": { "version": "InFoBench: 500 instructions with 2,250 decomposed requirement-level scoring units", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "GPT-4-0314 judge for decomposed yes/no requirement questions", "tools": "none", "sampling": "greedy decoding; judge temperature=0", "notes": "Official InfoBench repo, arXiv 2401.03601, and HF kqsong/InFoBench define 500 instructions and 2,250 decomposed questions. The DRFR metric scores whether each decomposed requirement is satisfied, and the official evaluation script uses GPT-4-0314 by default to answer each decomposed yes/no question at temperature 0. Cohere Command A remains only a score source for existing cells." } }, { "id": "infovqa", "name": "InfoVQA (val)", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "InfoVQA (val)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "internal_api_if_hard", "name": "Internal API IF Hard", "category": "Instruction Following", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "canonical_setting": { "version": "OpenAI internal API instruction-following eval, hard prompts", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "sampling": "pass@1; reasoning models run with high reasoning effort", "notes": "OpenAI GPT-5 developer blog states that the internal OpenAI API instruction-following eval uses difficult instructions derived from real developer feedback and that reasoning models were run with high reasoning effort. The GPT-4.1 API blog describes the same internal instruction-following eval as covering format following, negative instructions, ordered instructions, content requirements, ranking, and overconfidence, split into easy, medium, and hard prompts. OpenAI does not disclose item count or scoring implementation, so keep num_problems null rather than converting the 500 category fallback into a source-backed count." } }, { "id": "inverse_ifeval", "name": "Inverse IFEval", "category": "Instruction Following", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Inverse IFEval", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "korbench", "name": "KORBench", "category": "Reasoning", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "KORBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "livebench", "name": "LiveBench", "category": "Composite", "metric": "overall score", "num_problems": 1000, "source_url": "https://github.com/LiveBench/LiveBench", "canonical_setting": { "version": "LiveBench 2024-11-25 full public release", "metric_type": "index", "range": null, "higher_is_better": true, "multimodal_input": false, "judge": "objective ground-truth scoring without LLM evaluators", "tools": "none", "sampling": "pass@1", "notes": "Official LiveBench README defines 18 tasks across 6 categories and states that each question has verifiable objective ground-truth answers, scored automatically without an LLM judge. The README says the current 2025-04-25 release is not fully public on Hugging Face and recommends --livebench-release-option 2024-11-25 for the most recent public full-category evaluation. Applying the official HF release/removal filter to the six livebench category datasets gives 1,000 active questions for 2024-11-25: coding 128, data_analysis 150, instruction_following 200, math 232, reasoning 150, language 140. Later public HF rows are incomplete for full-category evaluation." } }, { "id": "livecodebench", "name": "LiveCodeBench", "category": "Coding", "metric": "pass@1 %", "num_problems": 1055, "source_url": "https://livecodebench.github.io/", "canonical_setting": { "version": "LiveCodeBench (1055)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/livecodebench", "source_benchmark_name": "LiveCodeBench", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 506736, "output_tokens": 18305104, "reasoning_tokens": 17031151, "answer_tokens": 1273953, "total_tokens": 18811840 }, "total_cost_usd": 183.68446, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 11.61, "relative_cost_to_source_anchor": 11.644, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "livecodebench_pro", "name": "LiveCodeBench Pro (Elo)", "category": "Coding", "source_url": "https://livecodebench.github.io/pro.html", "num_problems": null, "canonical_setting": { "version": "LiveCodeBench Pro \u2014 Codeforces/ICPC/IOI competitive set", "metric_type": "elo", "range": [ 0, 4000 ], "higher_is_better": true, "multimodal_input": false, "notes": "Elo rating against competitive programming pool." } }, { "id": "livecodebench_v5", "name": "LiveCodeBench v5", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://arxiv.org/abs/2504.13914", "canonical_setting": { "version": "LiveCodeBench v5", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Seed-Thinking-v1.5 paper." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gpt_oss_120b_low", "source_name": "Artificial Analysis per-evaluation token usage and cost for gpt-oss-120B (low)", "source_url": "https://artificialanalysis.ai/evaluations/livecodebench", "source_benchmark_name": "LiveCodeBench", "source_model_name": "gpt-oss-120B (low)", "source_model_slug": "gpt-oss-120b", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 509589, "output_tokens": 2759527, "reasoning_tokens": 1023415, "answer_tokens": 1736112, "total_tokens": 3269116 }, "total_cost_usd": 1.73215455, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Existing Artificial Analysis evidence row maps to generic LiveCodeBench, not explicitly LiveCodeBench v5; use as LiveCodeBench-family cost evidence with variant caveat." } }, { "id": "livecodebench_v6", "name": "LiveCodeBench v6", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://z.ai/blog/glm-4.7", "canonical_setting": { "version": "LiveCodeBench v6", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per GLM-4.7 blog." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/livecodebench", "source_benchmark_name": "LiveCodeBench", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 506736, "output_tokens": 18305104, "reasoning_tokens": 17031151, "answer_tokens": 1273953, "total_tokens": 18811840 }, "total_cost_usd": 183.68446, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 11.61, "relative_cost_to_source_anchor": 11.644, "notes": "Candidate for LiveCodeBench v6. Artificial Analysis names the benchmark LiveCodeBench but does not expose the v6 variant label on the public page." } }, { "id": "livesports_3k", "name": "LiveSports-3K", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "LiveSports-3K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "loft_128k", "name": "LOFT (128k)", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://x.ai/news/grok-3", "canonical_setting": { "version": "LOFT (128k)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per xAI Grok 3 blog." } }, { "id": "logicvista", "name": "LogicVista", "category": "Vision Reasoning", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "LogicVista", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "longbench_v2", "name": "LongBench-V2", "category": "Long Context", "metric": "%", "num_problems": 503, "source_url": "https://huggingface.co/datasets/THUDM/LongBench-v2", "canonical_setting": { "version": "LongBench-V2", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "exact multiple-choice answer matching", "tools": "none", "sampling": "pass@1; temperature=0.1 in official script", "notes": "Official LongBench v2 sources are the THUDM LongBench repo, HF dataset, and arXiv:2412.15204, not the prior DeepSeek model card. The paper/README/HF card state 503 challenging multiple-choice questions with contexts from 8k to 2M words across six task categories. Loading THUDM/LongBench-v2 split=train returns 503 rows with answer keys A-D. The official pred.py default runs one direct-answer generation per item; --cot, --rag, and --no_context are optional settings. The official result.py reports overall accuracy as exact match between extracted option and the answer." } }, { "id": "longdocurl", "name": "LongDocURL", "category": "Vision Long Context", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "LongDocURL", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "longfact_concepts", "name": "LongFact-Concepts (hallucination rate)", "category": "Hallucination", "metric": "%", "num_problems": 1140, "source_url": "https://github.com/google-deepmind/long-form-factuality/tree/main/longfact", "canonical_setting": { "version": "LongFact-Concepts (hallucination rate)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": false, "multimodal_input": false, "judge": "SAFE LLM-as-a-judge factuality evaluator", "tools": "Google Search via Serper in SAFE evaluation", "sampling": "pass@1 model response; SAFE max_steps=5 and num_searches=3 by default", "notes": "Official LongFact sources are the google-deepmind/long-form-factuality repo and arXiv:2403.18802, not the prior OpenAI GPT-5 model blog. The longfact README states that LongFact-Concepts has the same 38 topics as LongFact-Objects and 30 unique prompts per topic, giving 1,140 prompts for the Concepts subtask and 2,280 prompts for the full LongFact benchmark. The SAFE README describes evaluation as an LLM-based pipeline that decomposes each long-form response into atomic facts, revises facts to be self-contained, classifies relevance, and checks support using Google Search calls; reported hallucination rate is therefore search-augmented posthoc factuality scoring. LOWER IS BETTER." }, "cost": { "source_id": "longfact_safe_readme_gpt35_turbo_cost_per_pair", "source_name": "Google DeepMind SAFE README cost estimate", "source_url": "https://github.com/google-deepmind/long-form-factuality/tree/main/eval/safe", "source_data_url": "https://raw.githubusercontent.com/google-deepmind/long-form-factuality/main/eval/safe/README.md", "source_benchmark_name": "LongFact-Concepts", "source_model_name": "SAFE evaluator with GPT-3.5-Turbo-0125 and Serper", "source_model_slug": "gpt_35_turbo; search=serper; num_searches=3; max_steps=5", "evidence_scope": "official evaluator cost per prompt-response pair; derived total over 1,140 LongFact-Concepts prompts", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 228.0, "reported_items": 1140, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "SAFE README estimates about $0.20 per prompt-response pair using GPT-3.5-Turbo-0125 and Serper, up to $0.40 for longer responses. Derived standard evaluator cost: 1,140*$0.20=$228. Evaluator/search cost only; model response generation cost is excluded." } }, { "id": "longfact_objects", "name": "LongFact-Objects (hallucination rate)", "category": "Hallucination", "metric": "%", "num_problems": 1140, "source_url": "https://github.com/google-deepmind/long-form-factuality/tree/main/longfact", "canonical_setting": { "version": "LongFact-Objects (hallucination rate)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": false, "multimodal_input": false, "judge": "SAFE LLM-as-a-judge factuality evaluator", "tools": "Google Search via Serper in SAFE evaluation", "sampling": "pass@1 model response; SAFE max_steps=5 and num_searches=3 by default", "notes": "Official LongFact sources are the google-deepmind/long-form-factuality repo and arXiv:2403.18802, not the prior OpenAI GPT-5 model blog. The longfact README states that LongFact-Objects has the same 38 topics as LongFact-Concepts and 30 unique prompts per topic, giving 1,140 prompts for the Objects main task and 2,280 prompts for the full LongFact benchmark. The SAFE README describes evaluation as an LLM-based pipeline that decomposes each long-form response into atomic facts, revises facts to be self-contained, classifies relevance, and checks support using Google Search calls; reported hallucination rate is therefore search-augmented posthoc factuality scoring. LOWER IS BETTER." }, "cost": { "source_id": "longfact_safe_readme_gpt35_turbo_cost_per_pair", "source_name": "Google DeepMind SAFE README cost estimate", "source_url": "https://github.com/google-deepmind/long-form-factuality/tree/main/eval/safe", "source_data_url": "https://raw.githubusercontent.com/google-deepmind/long-form-factuality/main/eval/safe/README.md", "source_benchmark_name": "LongFact-Objects", "source_model_name": "SAFE evaluator with GPT-3.5-Turbo-0125 and Serper", "source_model_slug": "gpt_35_turbo; search=serper; num_searches=3; max_steps=5", "evidence_scope": "official evaluator cost per prompt-response pair; derived total over 1,140 LongFact-Objects prompts", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 228.0, "reported_items": 1140, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "SAFE README estimates about $0.20 per prompt-response pair using GPT-3.5-Turbo-0125 and Serper, up to $0.40 for longer responses. Derived standard evaluator cost: 1,140*$0.20=$228. Evaluator/search cost only; model response generation cost is excluded." } }, { "id": "longform_writing", "name": "Longform Writing", "category": "Writing", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "canonical_setting": { "version": "Longform Writing", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Kimi K2-Thinking model card." } }, { "id": "longvideobench", "name": "LongVideoBench", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "LongVideoBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "lpfqa", "name": "LPFQA", "category": "Knowledge", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "LPFQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "lvbench", "name": "LVBench", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "LVBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "mars_bench", "name": "MARS-Bench", "category": "Instruction Following", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MARS-Bench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "math", "name": "MATH", "category": "Math", "source_url": "https://github.com/hendrycks/math", "num_problems": 12500, "canonical_setting": { "version": "MATH (Hendrycks et al. 2021, full set)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Full MATH benchmark (algebra, geometry, pre-calculus, etc). Distinct from MATH-500 subset." }, "cost": { "source_id": "helm_classic_v0_4_0", "source_name": "HELM Classic v0.4.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/classic/benchmark_output/releases/v0.4.0/groups.json", "source_benchmark_name": "MATH", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 1306373.685494141, "completion_tokens": 15380.627375011733, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1321754.3128691528 }, "total_cost_usd": null, "reported_items": 62.42857142857143, "reported_samples": null, "relative_tokens_to_source_anchor": 0.189, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "math_500", "name": "MATH-500", "category": "Math", "metric": "% correct", "num_problems": 500, "source_url": "https://arxiv.org/abs/2103.03874", "canonical_setting": { "version": "MATH-500 subset (Hendrycks)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/math-500", "source_benchmark_name": "MATH-500", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 47911, "output_tokens": 2367565, "reasoning_tokens": 1971303, "answer_tokens": 396262, "total_tokens": 2415476 }, "total_cost_usd": 23.735538749999996, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 1.491, "relative_cost_to_source_anchor": 1.505, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "matharena_apex_2025", "name": "MathArena Apex 2025", "category": "Math", "metric": "% correct", "num_problems": 12, "source_url": "https://matharena.ai/apex/", "canonical_setting": { "version": "MathArena Apex 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "exact final-answer auto-verification", "sampling": "samples=16 independent runs per problem in the main Apex table", "notes": "Official MathArena Apex page defines the current benchmark as 12 hard final-answer problems selected from 2025 competitions. Problem filtering used 4 attempts with frontier models, but the reported aggregate results evaluate 9 models with 16 independent runs per problem and report the average success rate over all problems and attempts. GPT-5 with scaffolding is a separate elicitation condition using 4 runs and should not define the canonical direct-prompt setting. Tools are none for the direct reasoning models; final answers are automatically verified.", "tools": "none" }, "cost": { "source_id": "matharena_apex_2025_official_cost_tokens", "source_name": "MathArena official Apex 2025 leaderboard", "source_url": "https://matharena.ai/?comp=apex--apex_2025", "source_data_url": "https://matharena.ai/competition_tables/apex--apex_2025", "source_benchmark_name": "MathArena Apex 2025", "source_model_name": "Qwen3-235B-2507-Think", "source_model_slug": "qwen3-235b-2507-think", "evidence_scope": "official leaderboard per-problem-run cost/token row; derived full direct-prompt evaluation total", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 27072, "output_tokens": 8229312, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 8256384 }, "total_cost_usd": 9.984, "reported_items": 12, "reported_samples": 16, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MathArena table row reports $0.052 cost per one model run on one problem, 141 average input tokens, and 42,861 average output tokens for Qwen3-235B-2507-Think. Apex page reports 12 problems and 16 attempts per model/problem, so total cost is $0.052*12*16=$9.984; token totals multiply averages by 12*16." } }, { "id": "mathcanvas", "name": "MathCanvas", "category": "Math", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MathCanvas", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mathkangaroo", "name": "MathKangaroo", "category": "Math", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MathKangaroo", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mathvision", "name": "MathVision", "category": "Math", "metric": "% correct", "num_problems": 3040, "source_url": "https://huggingface.co/datasets/MathLLMs/MathVision", "canonical_setting": { "version": "MATH-Vision full test split", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "judge": "rule-based answer extraction and symbolic/option matching", "sampling": "pass@1", "notes": "Official MATH-Vision sources are the mathllm/MATH-V repo, MathLLMs/MathVision HF dataset, project page, and arXiv:2402.14804. The paper/project page define MATH-Vision as 3,040 mathematical problems with visual contexts across 16 subjects and 5 difficulty levels. The HF dataset has test=3,040 and testmini=304; the project page main leaderboard is on the full 3,040-example test set, while testmini is used for human performance and some smaller evaluations. Loading MathLLMs/MathVision confirms test has 3,040 rows and testmini has 304 rows. Official evaluation/evaluate.py computes overall accuracy by extracting a model answer and checking it against the answer key or option text with symbolic/equivalence rules. VLMEvalKit later supports LLM-based answer extraction, but this is extraction, not LLM-as-a-judge scoring.", "tools": "none" } }, { "id": "mathvista", "name": "MathVista", "category": "Math/Vision", "metric": "%", "num_problems": 1000, "source_url": "https://huggingface.co/datasets/AI4Math/MathVista", "canonical_setting": { "version": "MathVista public testmini subset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "judge": "rule-based answer extraction and answer-key matching", "sampling": "pass@1", "tools": "none", "notes": "Official MathVista sources are the project page, AI4Math/MathVista HF dataset, lupantech/MathVista repo, and arXiv:2310.02255, not the prior OpenAI GPT-4.1 model blog. The paper/project page define the full dataset as 6,141 examples from 31 datasets. HF splits are testmini=1,000 with public answer labels and test=5,141 for private standard evaluation; the HF card says the available leaderboard is testmini, while test labels are not public. Because the OpenAI GPT-4.1 source table reports only 'MathVista' without specifying private test, this canonical setting uses the public testmini subset. Evaluation uses image+question inputs; outputs are scored by extracting an answer and matching the answer key, not by LLM-as-a-judge." } }, { "id": "mathvista_mini", "name": "MathVista (mini)", "category": "Multimodal Math", "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "num_problems": null, "canonical_setting": { "version": "MathVista mini", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "avg@3." } }, { "id": "mbpp_plus", "name": "MBPP+", "category": "Coding", "source_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "num_problems": null, "canonical_setting": { "version": "MBPP+ (Liu et al. 2024)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Hardened MBPP with extra tests." } }, { "id": "mcpatlas", "name": "MCPAtlas Public", "category": "Agentic", "metric": "% correct (pass@1)", "num_problems": 500, "source_url": "https://huggingface.co/datasets/ScaleAI/MCP-Atlas", "canonical_setting": { "version": "MCP-Atlas public 500-task HuggingFace release", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Official arXiv:2602.00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row. Tasks require 3-6 tool calls across real MCP servers. Scoring uses a claims-based rubric over GTFA_CLAIMS with coverage threshold 0.75, evaluated by Gemini 2.5 Pro.", "tools": "agentic MCP servers in the official containerized harness", "judge": "Gemini 2.5 Pro claims-based coverage judge; pass if coverage >= 0.75", "sampling": "pass@1; public harness default maxTurns=20" } }, { "id": "mcpmark", "name": "MCPMark", "category": "Agentic", "source_url": "https://github.com/eval-sys/mcpmark", "num_problems": 127, "canonical_setting": { "version": "MCPMark standard task suite", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Official sources are arXiv:2509.24002, mcpmark.ai, and the eval-sys/mcpmark GitHub repo. MCPMark standard contains 127 tasks with curated initial states and verify.py scripts: 30 Filesystem, 28 Notion, 23 GitHub, 21 PostgreSQL, and 25 Playwright/Playwright-WebArena tasks. GitHub tree count confirms 127 meta.json files under tasks/*/standard; the additional 50 easy tasks are a later lightweight smoke-test suite and are not part of the canonical standard benchmark. Evaluation uses MCPMark-Agent in a tool-calling loop, max 100 turns and 3600-second timeout, then checks final environment state with programmatic verification.", "tools": "agentic MCP tool-calling loop over Notion, GitHub, Filesystem, PostgreSQL, and Playwright/WebArena", "judge": "programmatic verification scripts", "sampling": "pass@1; trials=4 independent runs in the official paper pass@1 mean; pass@4 and pass^4 also reported" }, "metric": "% success (pass@1)", "cost": { "source_id": "mcpmark_experiments_summary_gemini_3_pro_high", "source_name": "MCPMark experiments summary reported token usage and per-run cost", "source_url": "https://github.com/eval-sys/mcpmark-experiments/blob/main/summary.json", "source_benchmark_name": "MCPMark standard task suite", "source_model_name": "gemini-3-pro-high", "source_model_slug": "gemini-3-pro; setting=high", "evidence_scope": "reported per-run token usage and cost for one model row over the 127-task standard suite", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 126003558.5, "output_tokens": 1131699.75, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 127135258.25 }, "total_cost_usd": 265.587514, "reported_items": 127, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "MCPMark release summary reports k=4. This dictionary stores per_run_input_tokens/per_run_output_tokens/per_run_cost for the gemini-3-pro-high row, i.e. one complete 127-task run rather than the four-run aggregate. Source row reports pass@1.avg=0.5394, pass@4=0.6693, actual_model_name=gemini-3-pro. Dollar cost is model/run specific." } }, { "id": "medxpertqa_mm", "name": "MedXpertQA MM", "category": "Medical", "source_url": "https://huggingface.co/blog/gemma4", "num_problems": null, "canonical_setting": { "version": "MedXpertQA Multimodal", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "Medical visual QA." } }, { "id": "medxpertqa_text", "name": "MedXpertQA (Text)", "canonical_setting": { "version": "MedXpertQA Text (2,450 prompts, 10-choice A\u2013J)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "judge": "gpt-oss-120b", "notes": "Per Meta MSL eval methodology: 2,450 prompts spanning medical specialties; 10 answer choices; graded with gpt-oss-120b. Source: https://ai.meta.com/blog/introducing-muse-spark-msl/" }, "category": "Medical" }, { "id": "mgsm", "name": "MGSM", "category": "Math", "metric": "exact match (%)", "num_problems": 2500, "source_url": "https://github.com/google-research/url-nlp/tree/main/mgsm", "canonical_setting": { "version": "MGSM 10-language benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "rule-based exact match on numeric answer", "sampling": "pass@1", "notes": "Official source is google-research/url-nlp MGSM, introduced by arXiv:2210.03057. The benchmark manually translates the same 250 GSM8K test problems into 10 languages (Spanish, French, German, Russian, Chinese, Japanese, Thai, Swahili, Bengali, Telugu), giving 2,500 multilingual scored prompts. The official repo also includes an English TSV with 250 rows; harnesses such as OpenAI simple-evals may include English for 2,750 total prompts, but the MGSM benchmark definition is the 10-language translation set." } }, { "id": "minedojo_verified", "name": "Minedojo Verified", "category": "Vision Agent", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Minedojo Verified", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "env", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "minerva", "name": "Minerva", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Minerva", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mm_browsecomp", "name": "MM-BrowseComp", "category": "Vision Agent", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MM-BrowseComp", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "search", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mme_cc", "name": "MME-CC", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MME-CC", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mmlongbench", "name": "MMLongBench", "category": "Vision Long Context", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MMLongBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mmlongbench_doc", "name": "MMLongBench-Doc", "category": "Vision Long Context", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MMLongBench-Doc", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mmlu", "name": "MMLU", "category": "Knowledge", "metric": "% correct", "num_problems": 14042, "source_url": "https://arxiv.org/abs/2009.03300", "canonical_setting": { "version": "MMLU (5-shot, 14042 questions)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "helm_classic_v0_4_0", "source_name": "HELM Classic v0.4.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/classic/benchmark_output/releases/v0.4.0/groups.json", "source_benchmark_name": "MMLU (Massive Multitask Language Understanding)", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 6982477.176177128, "completion_tokens": 14985.454363539857, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 6997462.630540668 }, "total_cost_usd": null, "reported_items": 49.72727272727273, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "mmlu_pro", "name": "MMLU-Pro", "category": "Knowledge", "metric": "% correct", "num_problems": 12032, "source_url": "https://arxiv.org/abs/2406.01574", "canonical_setting": { "version": "MMLU-Pro", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/mmlu-pro", "source_benchmark_name": "MMLU-Pro", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 2723851, "output_tokens": 42639100, "reasoning_tokens": 36317607, "answer_tokens": 6321493, "total_tokens": 45362951 }, "total_cost_usd": 429.79581375, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 27.995, "relative_cost_to_source_anchor": 27.245, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "mmlu_redux", "name": "MMLU-Redux", "category": "Knowledge", "source_url": "https://arxiv.org/abs/2406.04127", "num_problems": null, "canonical_setting": { "version": "MMLU-Redux (5-shot)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Cleaned version of MMLU (Gema et al. 2024). 5-shot." } }, { "id": "mmmlu", "name": "MMMLU", "category": "Knowledge", "metric": "% correct", "num_problems": 258090, "source_url": "https://huggingface.co/datasets/openai/MMMLU", "canonical_setting": { "version": "MMMLU (multilingual MMLU)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). HF dataset contains 14 translated MMLU test CSVs; row count across test CSVs is 258,090. If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "mmmu", "name": "MMMU", "category": "Multimodal", "metric": "% correct", "num_problems": 900, "source_url": "https://mmmu-benchmark.github.io/", "canonical_setting": { "version": "MMMU validation (900 questions)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "mmmu_pro", "name": "MMMU-Pro", "category": "Multimodal", "metric": "% correct", "num_problems": 3460, "source_url": "https://huggingface.co/datasets/MMMU/MMMU_Pro", "canonical_setting": { "version": "MMMU-Pro overall: standard (10 options) + vision", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "Official sources are arXiv:2409.02813 and the MMMU/MMMU_Pro HuggingFace dataset. The paper filters MMMU to 1,730 questions, augments them to the standard 10-option setting, and creates a matching vision-only version; official overall MMMU-Pro is the average of standard (10 options) and vision, so the evaluated prompt count is 1,730 + 1,730 = 3,460. The standard (4 options) split is a comparison setting and is not counted in the canonical overall. tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none", "judge": "rule-based multiple-choice accuracy", "sampling": "pass@1" }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/mmmu-pro", "source_benchmark_name": "MMMU-Pro", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 891495, "output_tokens": 7766561, "reasoning_tokens": 6677746, "answer_tokens": 1088815, "total_tokens": 8658056 }, "total_cost_usd": 78.77997875, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 5.343, "relative_cost_to_source_anchor": 4.994, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "mmsibench_circular", "name": "MMSIBench (circular)", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MMSIBench (circular)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mmstar", "name": "MMStar", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MMStar", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "mmvu", "name": "MMVU", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "MMVU", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "morse_500", "name": "Morse-500", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Morse-500", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "motionbench", "name": "MotionBench", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "MotionBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "mrcr_v1", "name": "MRCR v1", "category": "Long-context", "source_url": "https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf", "num_problems": 2000, "canonical_setting": { "version": "MRCR v1 at up to 1M context", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "difflib SequenceMatcher string-similarity ratio", "sampling": "pass@1", "notes": "Official source is the Gemini 1.5 technical report. MRCR presents a long user-model conversation with two adversarially similar writing requests and asks the model to reproduce the response associated with a target request. Figure 12 reports cumulative average string-similarity score as a function of context length over 2,000 MRCR instances, up to 1M tokens. This v1 1M-context setting is distinct from OpenAI MRCR v2 128k / 2-needle / 8-needle variants." } }, { "id": "mrcr_v2", "name": "MRCR v2", "category": "Long Context", "metric": "% correct", "num_problems": 2400, "source_url": "https://huggingface.co/datasets/openai/mrcr", "canonical_setting": { "version": "OpenAI MRCR v2 full dataset", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Official source is the openai/mrcr HuggingFace dataset. OpenAI MRCR v2 expands Gemini MRCR into an open long-context multiple-needle benchmark with 2, 4, or 8 identical asks hidden in a synthetic conversation. The dataset has 100 samples per bin, 8 token-length bins from 4k through 1M, and three needle settings, giving 3 * 8 * 100 = 2,400 rows. Many model cards report the 128k slice; the full released dataset also includes 262k, 524k, and 1M bins. tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none", "judge": "difflib SequenceMatcher string-similarity ratio with required hash prefix", "sampling": "pass@1" }, "cost": { "source_id": "helm_long_context_v1_0_0", "source_name": "HELM Long Context v1.0.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/long-context/benchmark_output/releases/v1.0.0/groups.json", "source_benchmark_name": "OpenAI MRCR", "source_model_name": null, "source_model_slug": null, "evidence_scope": "HELM aggregate token table for a 100-instance OpenAI MRCR long-context run", "tokens": { "prompt_tokens": 0.0, "completion_tokens": 7658.16, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 7658.16 }, "total_cost_usd": null, "reported_items": 100, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "Candidate/proxy for BenchPress mrcr_v2. HELM reports a 100-instance OpenAI MRCR slice; BenchPress canonical metadata uses the full 2,400-row OpenAI MRCR v2 dataset." } }, { "id": "mrcr_v2_2needle_128k", "name": "OpenAI MRCR v2 (2 needle, 128k)", "category": "Long Context", "metric": "%", "num_problems": 500, "source_url": "https://huggingface.co/datasets/openai/mrcr", "canonical_setting": { "version": "OpenAI MRCR v2 (2 needle, 128k)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "difflib SequenceMatcher string-similarity ratio with required hash prefix", "sampling": "pass@1", "notes": "Official source is the openai/mrcr HuggingFace dataset, with results reported in the OpenAI GPT-4.1 blog. This row is the 2-needle 128k slice: one needle setting, five token-length bins up to 131,072 tokens, and 100 samples per bin, giving 500 scored prompts. The full 2-needle dataset has 800 rows across all eight bins up to 1M." }, "cost": { "source_id": "helm_long_context_v1_0_0", "source_name": "HELM Long Context v1.0.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/long-context/benchmark_output/releases/v1.0.0/groups.json", "source_benchmark_name": "OpenAI MRCR", "source_model_name": null, "source_model_slug": null, "evidence_scope": "reported HELM prompt/completion token totals for the OpenAI MRCR source benchmark scenario", "tokens": { "prompt_tokens": 0.0, "completion_tokens": 7658.16, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 7658.16 }, "total_cost_usd": null, "reported_items": 100.0, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; source row is OpenAI MRCR family-level and not explicitly the BenchPress 2-needle 128k slice. Use as proxy/candidate unless exact slice mapping is accepted." } }, { "id": "mrcr_v2_2needle_1m", "name": "OpenAI MRCR v2 (2 needle, 1M)", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/gpt-4-1/", "canonical_setting": { "version": "OpenAI MRCR v2 (2 needle, 1M)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per OpenAI GPT-4.1 blog." } }, { "id": "mrcr_v2_2needle_256k", "name": "OpenAI MRCR v2 (2-needle, 256k)", "description": "OpenAI Multi-hop Retrieval and Comprehension v2, 2-needle, 256k context window", "canonical_setting": { "judge": "rule-based", "notes": "Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/" }, "category": "Long Context", "cost": { "source_id": "helm_long_context_v1_0_0", "source_name": "HELM Long Context v1.0.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/long-context/benchmark_output/releases/v1.0.0/groups.json", "source_benchmark_name": "OpenAI MRCR", "source_model_name": null, "source_model_slug": null, "evidence_scope": "reported HELM prompt/completion token totals for the OpenAI MRCR source benchmark scenario", "tokens": { "prompt_tokens": 0.0, "completion_tokens": 7658.16, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 7658.16 }, "total_cost_usd": null, "reported_items": 100.0, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; source row is OpenAI MRCR family-level and not explicitly the BenchPress 2-needle 256k slice. Use as proxy/candidate unless exact slice mapping is accepted." } }, { "id": "mrcr_v2_8needle", "name": "OpenAI MRCR v2 (8-needle)", "category": "Long Context", "metric": "%", "num_problems": 800, "source_url": "https://huggingface.co/datasets/openai/mrcr", "canonical_setting": { "version": "OpenAI MRCR v2 (8-needle)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "difflib SequenceMatcher string-similarity ratio with required hash prefix", "sampling": "pass@1", "notes": "Official source is the openai/mrcr HuggingFace dataset. This row is the 8-needle slice: one needle setting, eight token-length bins from 4k through 1M, and 100 samples per bin, giving 800 scored prompts. Some model cards report restricted context slices, but the benchmark variant name here does not restrict to 128k." }, "cost": { "source_id": "helm_long_context_v1_0_0", "source_name": "HELM Long Context v1.0.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/long-context/benchmark_output/releases/v1.0.0/groups.json", "source_benchmark_name": "OpenAI MRCR", "evidence_scope": "reported HELM completion-token total for the OpenAI MRCR long-context scenario, used as a task-family proxy for the BenchPress 8-needle MRCR row", "tokens": { "prompt_tokens": 0.0, "completion_tokens": 7658.16, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 7658.16 }, "total_cost_usd": null, "reported_items": 100.0, "reported_samples": null, "relative_tokens_to_source_anchor": 1.0, "relative_cost_to_source_anchor": null, "notes": "Proxy evidence: HELM reports an OpenAI MRCR scenario token total, while BenchPress names the OpenAI MRCR v2 8-needle slice. Use as MRCR task-family token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "mt_aime_2024", "name": "MT-AIME2024", "category": "Math", "metric": "%", "source_url": "https://huggingface.co/datasets/amphora/MCLM", "num_problems": 1650, "canonical_setting": { "version": "MCLM MT-AIME2024 (multilingual AIME 2024, 55 languages, Son et al. 2025)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "rule-based verifier", "sampling": "pass@1", "notes": "Official source is the MCLM dataset and Son et al. (arXiv:2502.17407). MT-AIME2024 translates the full AIME 2024 set into 55 languages; the dataset stores 30 rows with 55 language columns, so the canonical evaluation contains 1,650 language-specific scored prompts." } }, { "id": "mt_bench_101", "name": "MT-Bench-101", "category": "Chat", "metric": "Score (1-10)", "num_problems": null, "source_url": "https://github.com/InternLM/InternLM", "canonical_setting": { "version": "MT-Bench-101 (Score 1-10)", "metric_type": "raw", "range": [ 1, 10 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per InternLM3 GitHub README. MT-Bench-101 scored 1-10." } }, { "id": "mtvqa", "name": "MTVQA", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MTVQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "muirbench", "name": "MUIRBench", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "MUIRBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "multi_if", "name": "Multi-IF", "category": "Instruction Following", "metric": "%", "num_problems": 13503, "source_url": "https://huggingface.co/datasets/facebook/Multi-IF", "canonical_setting": { "version": "Multi-IF (8-language, 3-turn conversations)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "script-based verifiable-instruction checks", "sampling": "single response per turn", "notes": "Official sources are the facebook/Multi-IF HuggingFace dataset and He et al. (arXiv:2410.15553). The dataset has 4,501 multilingual conversations across 8 languages, and each conversation has three turns; the cost proxy counts the 13,503 model-turn generations that must be evaluated. The reported metric averages instruction-level strict accuracy, conversation-level strict accuracy, instruction-level loose accuracy, and conversation-level loose accuracy across languages and turns." } }, { "id": "multi_swe_bench", "name": "Multi-SWE-bench", "category": "Coding", "metric": "%", "source_url": "https://huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench", "num_problems": 1632, "canonical_setting": { "version": "Multi-SWE-bench (full 7-language issue-resolving benchmark)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "repository checkout plus Docker/unit-test execution", "judge": "execution-based patch validation", "sampling": "pass@1", "notes": "Official sources are the ByteDance-Seed/Multi-SWE-bench HuggingFace dataset and Zan et al. (arXiv:2504.02605). The full benchmark covers Java, TypeScript, JavaScript, Go, Rust, C, and C++ with 1,632 human-validated issue-resolving instances curated from 2,456 candidates. Later auxiliary releases such as mini, flash, RL, and Python supplement files are not counted in this canonical full benchmark row." } }, { "id": "multichallenge", "name": "MultiChallenge", "category": "Instruction Following", "metric": "%", "num_problems": 273, "source_url": "https://github.com/ekwinox117/multi-challenge", "canonical_setting": { "version": "MultiChallenge", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "automated LLM judge with instance-level rubrics", "sampling": "single final response per conversation", "notes": "Official sources are the MultiChallenge paper (arXiv:2501.17399) and the released benchmark_questions.jsonl in the project repository. The benchmark contains 273 maximum-10-turn test conversations: 113 inference-memory, 69 instruction-retention, 41 reliable-version-editing, and 50 self-coherence conversations. Cost counts one model completion per conversation because each row provides conversation history ending in a target question." } }, { "id": "multichallenge_o3mini_grader", "name": "MultiChallenge (o3-mini grader)", "category": "Instruction Following", "metric": "%", "num_problems": 273, "source_url": "https://github.com/ekwinox117/multi-challenge", "canonical_setting": { "version": "Scale MultiChallenge official GitHub benchmark_questions.jsonl / paper Table 1", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "judge": "o3-mini grader / LLM-as-judge with instance-level binary rubrics", "sampling": "attempts=1 unless otherwise reported", "notes": "MultiChallenge has 273 test conversations in the paper and official GitHub data. Each item requires one model response to a multi-turn conversation history, then an LLM grader evaluates the final response against an instance-level rubric. HF currently reports 266 rows, treated as a conflicting mirror/snapshot rather than the canonical paper/repo count." } }, { "id": "multilingual_mmlu", "name": "Multilingual MMLU", "category": "Multilingual", "source_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "num_problems": null, "canonical_setting": { "version": "Multilingual MMLU (5-shot)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "5-shot MMLU across multiple languages." } }, { "id": "multipl_e_avg", "name": "MultiPL-E (average)", "category": "Coding", "metric": "%", "num_problems": 12667, "source_url": "https://huggingface.co/datasets/nuprl/MultiPL-E", "canonical_setting": { "version": "MultiPL-E full public HF dataset, averaged across language/config rows", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "sampling": "0-shot/pass@1 as reported by Mistral Medium 3 blog", "notes": "MultiPL-E is a multilingual code-generation benchmark translated from HumanEval and MBPP. The HF dataset-server reports 12,667 total test rows across 47 configs (3,811 HumanEval rows and 8,856 MBPP rows). If the score source used only a HumanEval subset, 3,811 is the narrower count; either interpretation is Tier 3 under the cost proxy." } }, { "id": "nl2repo_bench", "name": "NL2Repo-Bench", "category": "Repository Code", "metric": "%", "num_problems": 104, "source_url": "https://arxiv.org/abs/2512.12730", "canonical_setting": { "version": "NL2Repo-Bench full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic code execution", "sampling": "Pass@1 unless otherwise reported", "notes": "NL2Repo-Bench contains 104 repository-generation tasks. Each task gives a natural-language requirements document and empty workspace; generated repositories are evaluated with original upstream pytest suites. Item count is task instances, not upstream test cases." } }, { "id": "nl2repo_pass1", "name": "NL2Repo (Pass@1)", "category": "Repository Code", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "NL2Repo (Pass@1)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "ntrex", "name": "NTREX", "category": "Multilingual", "source_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "num_problems": null, "canonical_setting": { "version": "NTREX (COMET-20)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Machine translation COMET-20 score." } }, { "id": "ocrbench", "name": "OCRBench", "category": "Multimodal", "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "num_problems": null, "canonical_setting": { "version": "OCRBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "OCR benchmark." } }, { "id": "ocrbench_v2", "name": "OCRBench v2", "category": "Document/Chart", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "OCRBench v2", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "odvbench", "name": "ODVBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ODVBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "officeqa", "name": "OfficeQA", "category": "Office", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-4/", "canonical_setting": { "version": "OfficeQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "OfficeQA productivity benchmark (different from OfficeQA Pro). Per OpenAI GPT-5.4 blog." } }, { "id": "officeqa_pro", "name": "OfficeQA Pro", "category": "Office", "metric": "%", "num_problems": null, "source_url": "https://openai.com/index/introducing-gpt-5-5/", "canonical_setting": { "version": "OfficeQA Pro", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Office productivity QA benchmark." }, "cost": { "source_id": "officeqa_pro_paper_table1_agent_cost_per_sample", "source_name": "OfficeQA Pro paper Table 1", "source_url": "https://arxiv.org/abs/2603.08655", "source_data_url": "https://arxiv.org/html/2603.08655v1", "source_benchmark_name": "OfficeQA Pro", "source_model_name": "Claude Opus 4.6, full corpus PDF setting", "source_model_slug": "claude-opus-4.6; corpus=full; format=pdf", "evidence_scope": "paper-reported average agent dollar cost per sample; derived total over 133 questions", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 605.15, "reported_items": 133, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "OfficeQA Pro Table 1 reports Claude Opus 4.6 full-corpus PDF cost of $4.55 per sample over 133 questions, so total is $4.55*133=$605.15. Agent/framework/model/configuration-specific dollar evidence; raw token counts are not reported." } }, { "id": "ojbench", "name": "OJBench", "category": "Coding", "source_url": "https://arxiv.org/abs/2506.16395", "num_problems": 232, "canonical_setting": { "version": "OJBench Pass@1", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "sampling": "Pass@1 for the BenchPress row; official paper also reports Pass@8 in separate settings", "notes": "OJBench comprises 232 NOI/ICPC programming competition problems. The BenchPress row follows score sources that report OJBench (Pass@1), so the source-backed model-generation count is 232 rather than Pass@8 or dual-language variants." }, "metric": "%" }, { "id": "omnidocbench", "name": "OmniDocBench (normalized edit distance, lower is better)", "category": "Vision", "metric": "edit distance (lower=better)", "num_problems": 1651, "source_url": "https://huggingface.co/datasets/opendatalab/OmniDocBench", "canonical_setting": { "version": "OmniDocBench v1.6 full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": false, "multimodal_input": true, "tools": "none", "notes": "Official OmniDocBench v1.6 contains 1,651 PDF pages. Count one model output per page for document parsing; HF parquet row count may differ slightly, but official README/page count is canonical." } }, { "id": "omnidocbench_1.5", "name": "OmniDocBench 1.5", "category": "Vision", "metric": "edit distance (lower=better)", "num_problems": 1355, "source_url": "https://github.com/opendatalab/OmniDocBench", "canonical_setting": { "version": "OmniDocBench v1.5", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "OmniDocBench v1.5 count is inferred from official update history: v1.6 full benchmark has 1,651 pages and adds 296 pages over v1.5, giving 1,355 pages for v1.5. Excludes v1.6-added pages and hard subsets." } }, { "id": "omnimath", "name": "OmniMath", "category": "Math", "source_url": "https://arxiv.org/abs/2410.07985", "num_problems": null, "canonical_setting": { "version": "OmniMath", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Olympiad-level math benchmark." }, "cost": { "source_id": "helm_capabilities_v1_15_0", "source_name": "HELM Capabilities v1.15.0", "source_url": "https://raw.githubusercontent.com/stanford-crfm/helm/main/docs/benchmark.md", "source_benchmark_name": "Omni-MATH", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": 22672.914, "completion_tokens": 253765.647, "total_tokens": 276438.561 }, "total_cost_usd": null, "relative_tokens_to_source_anchor": 3.121, "relative_cost_to_source_anchor": null, "notes": "Inference-side token/cost evidence only; judge, human-review, tool/environment, and infrastructure costs are separate protocol factors." } }, { "id": "osworld", "name": "OSWorld", "category": "Agentic", "metric": "% success", "num_problems": 369, "source_url": "https://os-world.github.io/", "canonical_setting": { "version": "OSWorld (369)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" } }, { "id": "ovbench", "name": "OVBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "OVBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "ovobench", "name": "OVOBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "OVOBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "paperbench", "name": "PaperBench", "category": "Coding", "source_url": "https://arxiv.org/abs/2507.20534", "num_problems": null, "canonical_setting": { "version": "PaperBench Code-Dev", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Code dev from papers." }, "cost": { "source_id": "paperbench_code_dev_o3mini_simplejudge_and_rollout_cost", "source_name": "PaperBench paper SimpleJudge and Code-Dev cost discussion", "source_url": "https://arxiv.org/abs/2504.01848", "source_data_url": "https://arxiv.org/html/2504.01848v3", "source_benchmark_name": "PaperBench Code-Dev", "source_model_name": "o3-mini SimpleJudge", "source_model_slug": "o3-mini-2025-01-31;reasoning_effort=high;simplejudge", "evidence_scope": "paper-reported Code-Dev judge cost and expected rollout cost over 20 papers", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 4200.0, "reported_items": 20, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Paper reports PaperBench Code-Dev grading costs are reduced to $10 per paper on average and Code-Dev rollouts would cost $4,000 per eval run. Derived total stored includes $200 judge cost plus $4,000 rollout cost. Code-Dev token counts are not directly reported." } }, { "id": "phibench", "name": "PhiBench (Microsoft Internal)", "category": "General", "source_url": "https://arxiv.org/abs/2412.08905", "num_problems": null, "canonical_setting": { "version": "PhiBench 2.21 (Microsoft internal)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Microsoft Phi team internal eval." } }, { "id": "phybench", "name": "Phybench", "category": "Physics", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Phybench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "phyx_openended", "name": "PhyX (open-ended)", "category": "Vision STEM", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "PhyX (open-ended)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "point_bench", "name": "Point-Bench", "category": "Vision Counting", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Point-Bench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "popqa", "name": "PopQA", "category": "QA", "source_url": "https://huggingface.co/datasets/akariasai/PopQA", "num_problems": 14267, "canonical_setting": { "version": "PopQA test set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Official PopQA HuggingFace dataset contains 14,267 test rows. Count one factual QA generation per row; do not use rounded 14k marketing count." } }, { "id": "procbench", "name": "ProcBench", "category": "Reasoning", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ProcBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "realworldqa", "name": "RealWorldQA", "category": "Vision Perception", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "RealWorldQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "refspatialbench", "name": "RefSpatialBench", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "RefSpatialBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "repoqa", "name": "RepoQA", "category": "Coding", "source_url": "https://arxiv.org/abs/2406.06025", "num_problems": 500, "canonical_setting": { "version": "RepoQA SNF, 32K context, threshold 0.8", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "RepoQA contains 500 code-search tasks from 50 repositories across 5 languages. Count task instances rather than repositories or candidate functions." } }, { "id": "researchrubrics", "name": "ResearchRubrics", "category": "Deep Research", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ResearchRubrics", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "research tools", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "ruler_128k", "name": "RULER 128K", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://mistral.ai/news/mistral-medium-3", "canonical_setting": { "version": "RULER 128K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Mistral Medium 3 blog: RULER long-context benchmark @ 128K tokens." }, "cost": { "source_id": "helm_long_context_v1_0_0_ruler_proxy", "source_name": "HELM Long Context v1.0.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/long-context/benchmark_output/releases/v1.0.0/groups.json", "source_benchmark_name": "RULER HotPotQA", "evidence_scope": "reported HELM prompt/completion token totals for a RULER long-context source row; proxy for BenchPress RULER 128K", "tokens": { "prompt_tokens": 6068122.679999996, "completion_tokens": 122.49, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 6068245.169999996 }, "total_cost_usd": null, "reported_items": 100.0, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only. This maps a RULER subtask row (HotPotQA) to BenchPress ruler_128k as a benchmark-length proxy, not the full RULER suite. The same source also reports RULER SQuAD at 5,650,821.36 total tokens." } }, { "id": "ruler_32k", "name": "RULER 32K", "category": "Long Context", "metric": "%", "num_problems": null, "source_url": "https://mistral.ai/news/mistral-medium-3", "canonical_setting": { "version": "RULER 32K", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Mistral Medium 3 blog: RULER long-context benchmark @ 32K tokens." } }, { "id": "safety", "name": "Safety (OLMES suite)", "category": "Safety", "source_url": "https://arxiv.org/abs/2501.00656", "num_problems": null, "canonical_setting": { "version": "OLMES safety suite", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "Allen AI internal safety eval suite." } }, { "id": "scicode", "name": "SciCode", "category": "Coding", "metric": "% correct", "num_problems": 338, "source_url": "https://scicode-bench.github.io/", "canonical_setting": { "version": "SciCode full subproblem benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "notes": "SciCode contains 338 executable scientific-code subproblems. Count subproblems because each requires a code solution evaluated by tests." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/scicode", "source_benchmark_name": "SciCode", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 1053511, "output_tokens": 2112372, "reasoning_tokens": 1909473, "answer_tokens": 202899, "total_tokens": 3165883 }, "total_cost_usd": 22.440608750000003, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 1.954, "relative_cost_to_source_anchor": 1.423, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "screenspot_pro", "name": "ScreenSpot-Pro", "category": "Multimodal", "source_url": "https://github.com/likaixin2000/ScreenSpot-Pro-GUI-Grounding", "num_problems": 1581, "canonical_setting": { "version": "ScreenSpot-Pro full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "ScreenSpot-Pro contains 1,581 GUI grounding targets: 604 icon targets and 977 text targets. Count one model grounding response per target." } }, { "id": "seal_0", "name": "Seal-0", "category": "Search Agent", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "Seal-0", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per Kimi K2.5 model card." } }, { "id": "sfe", "name": "SFE", "category": "Vision STEM", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "SFE", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "simplebench", "name": "SimpleBench", "category": "Reasoning", "metric": "% correct", "num_problems": 1000, "source_url": "https://simple-bench.com/", "canonical_setting": { "version": "SimpleBench (1000)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "simpleqa", "name": "SimpleQA", "category": "Knowledge", "metric": "% correct", "num_problems": 4326, "source_url": "https://openai.com/index/introducing-simpleqa/", "canonical_setting": { "version": "SimpleQA (OpenAI 4326 questions)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "simpleqa_verified", "name": "SimpleQA-Verified", "category": "Knowledge", "metric": "% correct (pass@1)", "num_problems": null, "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "canonical_setting": { "version": "SimpleQA-Verified", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" } }, { "id": "simplevqa", "name": "SimpleVQA", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "SimpleVQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "smt_2025", "name": "SMT 2025", "category": "Math", "metric": "% correct (pass@1)", "num_problems": 53, "source_url": "https://huggingface.co/datasets/MathArena/smt_2025", "canonical_setting": { "version": "SMT 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "sampling": "samples=4", "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_smt_2025_outputs_kimi_k2_thinking_cost", "source_name": "MathArena SMT 2025 output logs for Kimi K2 Thinking", "source_url": "https://matharena.ai/competition_tables/smt--smt_2025", "source_data_url": "https://huggingface.co/datasets/MathArena/smt_2025_outputs/resolve/main/data/train-00000-of-00001.parquet", "source_benchmark_name": "SMT 2025", "source_model_name": "Kimi K2 Thinking", "source_model_slug": "moonshot/k2-thinking", "evidence_scope": "official output-log rows with input/output tokens and model-price-derived cost for all 53 problems x 4 samples", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 31809, "output_tokens": 4563498, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 4595307 }, "total_cost_usd": 11.4278304, "reported_items": 53, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Rows cover all 53 SMT 2025 problems with 4 samples each for Kimi K2 Thinking. Cost uses MathArena model config pricing: 31,809 input tokens*$0.60/M plus 4,563,498 output tokens*$2.50/M = $11.4278304." } }, { "id": "spreadsheetbench_verified", "name": "SpreadsheetBench Verified", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "SpreadsheetBench Verified", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "superchem", "name": "Superchem (text-only)", "category": "Chemistry", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "Superchem (text-only)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "supergpqa", "name": "SuperGPQA", "category": "Science", "metric": "%", "num_problems": 26529, "source_url": "https://huggingface.co/datasets/m-a-p/SuperGPQA", "canonical_setting": { "version": "SuperGPQA full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Official SuperGPQA dataset has 26,529 rows/questions spanning science disciplines. Count one answer per row." } }, { "id": "swe_bench_multilingual", "name": "SWE-bench Multilingual", "category": "Coding", "metric": "% resolved", "num_problems": null, "source_url": "https://www.swebench.com/", "canonical_setting": { "version": "SWE-bench Multilingual", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" }, "cost": { "source_id": "swe_bench_multilingual_leaderboard_gemini_3_pro_cost", "source_name": "SWE-bench Multilingual leaderboard reported run cost", "source_url": "https://www.swebench.com/", "source_benchmark_name": "SWE-bench Multilingual", "source_model_name": "Gemini 3 Pro", "source_model_slug": "mini-swe-agent-v2.0.0a0; gemini-3-pro", "evidence_scope": "official embedded leaderboard run-cost row for the 300-instance Multilingual split", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 306.3256754, "reported_items": 300, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence. Embedded row also reports instance_cost=1.0210855846666667, instance_calls=48.85, and 300 per_instance_details with per-instance cost/api_calls; no token totals. Cost is scaffold/model specific." } }, { "id": "swe_bench_multimodal", "name": "SWE-bench Multimodal", "category": "Coding", "metric": "% resolved", "num_problems": null, "source_url": "https://www.swebench.com/", "canonical_setting": { "version": "SWE-bench Multimodal", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "notes": "tools=agentic. No single standard public scaffold exists for SWE-bench Multimodal; harness choice is model-side (recorded in cell.reported_setting.harness). Any lab-published harness counts as canonical.", "tools": "agentic" }, "cost": { "source_id": "swe_bench_multimodal_paper_table3_avg_cost_per_task", "source_name": "SWE-bench Multimodal paper Table 3", "source_url": "https://arxiv.org/html/2410.03859", "source_data_url": "https://www.swebench.com/multimodal.html", "source_benchmark_name": "SWE-bench Multimodal", "source_model_name": "RAG + Claude 3.5 Sonnet baseline", "source_model_slug": "rag;claude-3.5-sonnet", "evidence_scope": "paper-reported average per-task inference cost; derived full-run cost over 517 official instances", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 77.55, "reported_items": 517, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Paper Table 3 reports average per-task inference costs for SWE-bench Multimodal baselines; the lowest reported source-backed row is RAG + Claude 3.5 Sonnet at $0.15/task. Derived full-run cost is $0.15*517=$77.55. Cost is baseline/harness-specific, not a universal leaderboard cost; token counts are not reported." } }, { "id": "swe_bench_pro", "name": "SWE-bench Pro", "category": "Coding", "metric": "% resolved", "num_problems": 731, "source_url": "https://scale.com/leaderboard/swe_bench_pro_public", "canonical_setting": { "version": "SWE-bench Pro public test set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "sampling": "pass@1", "notes": "SWE-bench Pro public benchmark contains 731 software engineering instances. Count one patch-generation attempt per instance; repository checkout and tests are captured by code-execution cost factors." }, "cost": { "source_id": "swe_bench_pro_nilenso_trajectory_report_gpt5_high", "source_name": "SWE-Bench Pro public trajectory cost/token analysis", "source_url": "https://nilenso.github.io/swe-bench-pro-cost-token-time-analysis/report.txt", "source_data_url": "https://nilenso.github.io/swe-bench-pro-cost-token-time-analysis/", "source_benchmark_name": "SWE-Bench Pro", "source_model_name": "GPT-5 + SWE-Agent", "source_model_slug": "gpt-5; agent=swe-agent; reasoning_effort=high", "evidence_scope": "derived totals from public Scale AI SWE-Bench Pro trajectories for the 616 paired submitted GPT-5 tasks", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 1930805533, "output_tokens": 4374442, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1935179975 }, "total_cost_usd": 1217.8967125, "reported_items": 616, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Third-party report derived from public Scale AI SWE-Bench Pro leaderboard trajectories. The text report explicitly gives 616 paired submitted tasks, mean GPT-5 input tokens=3,134,425, mean visible output tokens=7,101, and total GPT-5 cost=$1,217.90; exact totals here are summed from the interactive report's embedded per-instance DATA. Values cover the report's 616 paired submitted tasks, not all 731 public instances. Output tokens are visible output counted by tiktoken across response text and tool-call arguments, excluding GPT-5 hidden reasoning tokens. Dollar cost is Scale internal litellm proxy instance_cost and is model/run specific." } }, { "id": "swe_bench_verified", "name": "SWE-bench Verified", "category": "Coding", "metric": "% resolved", "num_problems": 500, "source_url": "https://www.swebench.com/", "canonical_setting": { "version": "SWE-bench Verified (500 instances)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "pass@1 over full 500 instances with standard agent scaffold (e.g., bash/editor tools, single attempt). Exclude scores from reduced subsets, custom scaffolds with parallel sampling, or majority-vote/best-of-N. tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" }, "cost": { "source_id": "swe_bench_verified_leaderboard_mini_swe_agent_claude45_opus_high_cost", "source_name": "SWE-bench Verified leaderboard reported run cost", "source_url": "https://www.swebench.com/", "source_benchmark_name": "SWE-bench Verified", "source_model_name": "mini-SWE-agent + Claude 4.5 Opus (high reasoning)", "source_model_slug": "mini-swe-agent; claude-4-5-opus; reasoning_effort=high", "evidence_scope": "reported leaderboard run cost for one 500-instance SWE-bench Verified row", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 376.9539985, "reported_items": 500, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence from the official SWE-bench leaderboard embedded data. Token counts are not reported. Cost is model/scaffold/run specific; row also reports instance_cost=0.753907997 and instance_calls=32.896." } }, { "id": "swe_evo", "name": "SWE-Evo", "category": "Agentic Coding", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "SWE-Evo", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "code execution", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "swelancer", "name": "SWE-Lancer IC Diamond", "category": "Coding", "metric": "%", "num_problems": 198, "source_url": "https://github.com/openai/frontier-evals/tree/main/project/swelancer", "canonical_setting": { "version": "SWE-Lancer IC SWE Diamond, current verified offline release", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass@1, one attempt per task", "judge": "end-to-end tests", "notes": "Current official SWE-Lancer release contains 198 verified-offline IC SWE Diamond tasks; original paper reported 237 IC SWE Diamond tasks and the current README says 39 were dropped. Excludes SWE Manager Diamond." } }, { "id": "swelancer_freelance_dollars", "name": "SWE-Lancer IC SWE Diamond Freelance ($)", "category": "Coding", "metric": "dollars", "num_problems": 198, "source_url": "https://github.com/openai/frontier-evals/tree/main/project/swelancer", "canonical_setting": { "version": "SWE-Lancer IC SWE Diamond Freelance ($), current verified offline release", "metric_type": "dollars", "range": [ 0, 200000 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass@1, one attempt per task", "judge": "end-to-end tests", "notes": "Current official SWE-Lancer release contains 198 verified-offline IC SWE Diamond tasks; original paper reported 237 IC SWE Diamond tasks and the current README says 39 were dropped. Excludes SWE Manager Diamond." } }, { "id": "tau1_bench_avg", "name": "\u03c4-bench (Yao 2024, averaged)", "category": "Tool use", "source_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "num_problems": null, "canonical_setting": { "version": "\u03c4-bench averaged across retail+airline domains", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "\u03c4-bench (Yao 2024) averaged. Distinct from per-domain cells (tau_bench_retail/airline/telecom)." } }, { "id": "tau2_bench_airline", "name": "\u03c4\u00b2-bench Airline", "category": "Agentic", "metric": "% success", "num_problems": 50, "source_url": "https://arxiv.org/abs/2506.07982", "canonical_setting": { "version": "\u03c4\u00b2-bench (Sierra AI 2025) \u2014 airline domain, base split", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass^1 / one trial per task", "judge": "state-based task success", "notes": "Paper Table 1 and current official split file both give 50 Airline tasks (30 train + 20 test). Dual-control text setting: LLM-controlled agent and simulated user; not comparable to original tau-bench." }, "cost": { "source_id": "tau2_bench_paper_gpt41_agent_user_sim_per_task_cost", "source_name": "tau2-bench paper reported GPT-4.1 agent and user-simulator cost", "source_url": "https://arxiv.org/abs/2506.07982", "source_data_url": "https://arxiv.org/e-print/2506.07982", "source_benchmark_name": "tau2-bench Airline", "source_model_name": "gpt-4.1-2025-04-14 agent + user simulator", "source_model_slug": "gpt-4.1-2025-04-14-agent-user-sim", "evidence_scope": "derived one-trial airline-domain dollar cost from paper-reported average per-task agent and user-simulator API costs", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 7.25, "reported_items": 50, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence. Paper reports setup-level average cost per task: $0.086 for the GPT-4.1 agent plus $0.059 for the GPT-4.1 user simulator. Airline has 50 tasks, so 50 * $0.145 = $7.25 for one trial. This is not separately measured airline-only token usage." } }, { "id": "tau2_bench_avg", "name": "\u03c4\u00b2-Bench (avg of retail/airline/telecom)", "category": "Tool Use", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "canonical_setting": { "version": "\u03c4\u00b2-Bench (avg of retail/airline/telecom)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per MiniMax M2 model card." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/tau2-bench", "source_benchmark_name": "Tau2-Bench", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 21458049, "output_tokens": 871618, "reasoning_tokens": 748345, "answer_tokens": 123273, "total_tokens": 22329667 }, "total_cost_usd": 35.53874125, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 13.781, "relative_cost_to_source_anchor": 2.253, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "tau2_bench_retail", "name": "\u03c4\u00b2-bench Retail", "category": "Agentic", "metric": "% success", "num_problems": 115, "source_url": "https://arxiv.org/abs/2506.07982", "canonical_setting": { "version": "\u03c4\u00b2-bench (Sierra AI 2025) \u2014 retail domain, paper-defined task set", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass^1 / one trial per task", "judge": "state-based task success", "notes": "Paper Table 1 reports 115 Retail tasks. Current official repo base split has 114 after later task-fix releases; keep paper count for the tau2-bench 2025 row unless the row is redefined to current-release tau3 semantics." }, "cost": { "source_id": "tau2_bench_paper_gpt41_agent_user_sim_per_task_cost", "source_name": "tau2-bench paper reported GPT-4.1 agent and user-simulator cost", "source_url": "https://arxiv.org/abs/2506.07982", "source_data_url": "https://arxiv.org/e-print/2506.07982", "source_benchmark_name": "tau2-bench Retail", "source_model_name": "gpt-4.1-2025-04-14 agent + user simulator", "source_model_slug": "gpt-4.1-2025-04-14-agent-user-sim", "evidence_scope": "derived one-trial retail-domain dollar cost from paper-reported average per-task agent and user-simulator API costs", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 16.675, "reported_items": 115, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only evidence. Paper reports setup-level average cost per task: $0.086 for the GPT-4.1 agent plus $0.059 for the GPT-4.1 user simulator. Retail has 115 tasks in the paper, so 115 * $0.145 = $16.675 for one trial. This is not separately measured retail-only token usage." } }, { "id": "tau2_bench_telecom", "name": "\u03c4\u00b2-bench Telecom", "category": "Agentic", "metric": "% success", "num_problems": 114, "source_url": "https://arxiv.org/abs/2506.07982", "canonical_setting": { "version": "\u03c4\u00b2-bench (Sierra AI 2025) \u2014 telecom domain, base split", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass^1 / one trial per task", "judge": "state-based task success", "notes": "Paper Table 1 and current official split file give 114 Telecom base tasks; the full generated Telecom pool has 2285 tasks and is excluded." }, "cost": { "source_id": "tau2_bench_paper_gpt41_agent_user_sim_per_task_cost", "source_name": "tau2-bench paper reported GPT-4.1 agent and user-simulator cost", "source_url": "https://arxiv.org/abs/2506.07982", "source_benchmark_name": "tau2-bench", "source_model_name": "gpt-4.1-2025-04-14 agent + user simulator", "source_model_slug": "gpt-4.1-2025-04-14-agent-user-sim", "evidence_scope": "reported average per-task API cost for the GPT-4.1 agent and GPT-4.1 user simulator", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 0.145, "reported_items": 1, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Dollar-only per-task evidence: paper reports $0.086 agent plus $0.059 user-simulator average cost per task, and approximately $40 for all domains at one trial per task. This is tau2-bench setup-level evidence rather than a telecom-only measured total." } }, { "id": "tau3_bench", "name": "\u03c4\u00b3-Bench", "category": "Tool Use", "metric": "%", "num_problems": 1500, "source_url": "https://z.ai/blog/glm-5.1", "canonical_setting": { "version": "\u03c4\u00b3-Bench all-domain text setting reported by Z.ai GLM-5.1 blog", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "4 trials; count folded into num_problems", "judge": "state-based task success", "notes": "Z.ai footnote says tau3-bench uses all domains with an extra user-simulator prompt, banking terminal_use retrieval, GPT-5.2-low user simulator, and 4 trials. Count = (airline 50 + retail 114 + telecom 114 + banking_knowledge 97) * 4 = 1500 scored simulations." } }, { "id": "tau_bench_airline", "name": "tau-bench Airline", "category": "Agentic", "metric": "% success", "num_problems": 50, "source_url": "https://arxiv.org/abs/2406.12045", "canonical_setting": { "version": "tau-bench airline domain", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass^1 / one trial per task", "judge": "state-based task success", "notes": "Original tau-bench Airline has 50 user-agent interaction tasks. Count task conversations; multi-turn/tool burden is represented by agentic cost factors rather than multiplying by every action step." } }, { "id": "tau_bench_retail", "name": "Tau-Bench Retail", "category": "Agentic", "metric": "% success", "num_problems": 115, "source_url": "https://arxiv.org/abs/2406.12045", "canonical_setting": { "version": "tau-bench retail domain", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "sampling": "pass^1 / one trial per task", "judge": "state-based task success", "notes": "Original tau-bench Retail has 115 user-agent interaction tasks. Count task conversations; multi-turn/tool burden is represented by agentic cost factors rather than multiplying by every action step." } }, { "id": "tau_bench_telecom", "name": "Tau-Bench Telecom", "category": "Agentic", "metric": "% success", "num_problems": null, "source_url": "https://arxiv.org/abs/2406.12045", "canonical_setting": { "version": "tau-bench telecom", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" }, "cost": { "source_id": "sierra_tau2_telecom_gpt41_default_cost_usage", "source_name": "Sierra tau2-bench final telecom result logs", "source_url": "https://github.com/sierra-research/tau2-bench", "source_data_url": "https://raw.githubusercontent.com/sierra-research/tau2-bench/main/data/tau2/results/final/gpt-4.1-2025-04-14_telecom_default_gpt-4.1-2025-04-14_4trials.json", "source_benchmark_name": "tau2-bench Telecom default, 4 trials", "source_model_name": "gpt-4.1-2025-04-14 agent + user simulator", "source_model_slug": "gpt-4.1-2025-04-14-agent-user-sim", "evidence_scope": "official final result log with agent plus user-simulator cost and usage totals", "tokens": { "prompt_tokens": 98778208, "completion_tokens": 869183, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 99647391 }, "total_cost_usd": 89.555448, "reported_items": 114, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Official final tau2 result log for telecom default 4-trial run reports agent_cost=$50.140428 and user_cost=$39.415020, total $89.555448 over 114 tasks x 4 trials. Usage totals: prompt_tokens=98,778,208 and completion_tokens=869,183." } }, { "id": "tempcompass", "name": "TempCompass", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "TempCompass", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "terminal_bench", "name": "Terminal-Bench 2.0", "category": "Agentic", "metric": "% solved", "num_problems": null, "source_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "canonical_setting": { "version": "Terminal-Bench (latest)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" }, "cost": { "source_id": "terminal_bench_2_table2_gemini3pro_terminus2_tokens", "source_name": "Terminal-Bench 2.0 paper Table 2 token counts", "source_url": "https://arxiv.org/html/2601.11868v1", "source_benchmark_name": "Terminal-Bench 2.0", "source_model_name": "Gemini 3 Pro + Terminus 2", "source_model_slug": "gemini-3-pro; agent=terminus-2", "evidence_scope": "reported token counts for running all 74 Terminal-Bench 2.0 tasks for one agent-model row", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 5100000, "output_tokens": 2200000, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 7300000 }, "total_cost_usd": null, "reported_items": 74, "reported_samples": null, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Terminal-Bench 2.0 Table 2 reports input/output token counts for all 74 tasks. Values are rounded as printed in the paper table (5.1M input, 2.2M output). Model/agent row specific; not benchmark-intrinsic." } }, { "id": "terminal_bench_1", "name": "Terminal-Bench 1.0", "category": "Agentic", "metric": "% solved", "num_problems": null, "source_url": "https://terminal-bench.com/", "canonical_setting": { "version": "Terminal-Bench 1.0", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matches_canonical=false.", "tools": "agentic" } }, { "id": "terminal_bench_hard", "name": "Terminal-Bench Hard", "category": "Coding", "metric": "%", "num_problems": null, "source_url": "https://z.ai/blog/glm-4.7", "canonical_setting": { "version": "Terminal-Bench Hard", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic", "notes": "Per GLM-4.7 blog." }, "cost": { "source_id": "artificial_analysis_eval_token_cost_gemini_2_5_pro_anchor", "source_name": "Artificial Analysis per-evaluation token usage and cost with Gemini 2.5 Pro anchor", "source_url": "https://artificialanalysis.ai/evaluations/terminalbench-hard", "source_benchmark_name": "Terminal-Bench Hard", "source_model_name": "Gemini 2.5 Pro", "source_model_slug": "gemini-2-5-pro", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 12836710, "output_tokens": 1925752, "reasoning_tokens": 1502276, "answer_tokens": 423476, "total_tokens": 14762462 }, "total_cost_usd": 35.3034075, "reported_items": null, "reported_samples": null, "relative_tokens_to_source_anchor": 9.11, "relative_cost_to_source_anchor": 2.238, "notes": "Inference-side token/cost evidence only; source_model_* identifies the reported model row. Dollar cost is run/model specific, not benchmark-intrinsic. primary anchor model: Gemini 2.5 Pro" } }, { "id": "tob_complex_workflows", "name": "ToB-ComplexWorkflows", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-ComplexWorkflows", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tob_compositional_tasks", "name": "ToB-CompositionalTasks", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-CompositionalTasks", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tob_information_extraction", "name": "ToB-InformationExtraction", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-InformationExtraction", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tob_k12_education", "name": "ToB-K12Education", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-K12Education", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tob_referenceqa", "name": "ToB-ReferenceQ&A", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-ReferenceQ&A", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tob_text_classification", "name": "ToB-TextClassification", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ToB-TextClassification", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "tomato", "name": "TOMATO", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "TOMATO", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "toolathlon", "name": "Toolathlon", "category": "Agentic", "metric": "% correct (pass@1)", "num_problems": 108, "source_url": "https://toolathlon.github.io/", "canonical_setting": { "version": "Toolathlon full benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic tool use", "judge": "task success and tool-call validation", "notes": "Toolathlon defines 108 tool-use tasks. Count task episodes; average multi-turn/tool-call burden is represented by agentic/tool cost factors. Some reported protocols use repeated runs, but no single public canonical repeated-sampling count was source-backed for this row." }, "cost": { "source_id": "toolathlon_trajectories_gemini_3_pro_preview_run1", "source_name": "Toolathlon trajectories Gemini 3 Pro Preview run 1", "source_url": "https://huggingface.co/datasets/hkust-nlp/Toolathlon-Trajectories", "source_data_url": "https://huggingface.co/datasets/hkust-nlp/Toolathlon-Trajectories/resolve/main/gemini-3-pro-preview_1.jsonl", "source_benchmark_name": "Toolathlon", "source_model_name": "Gemini 3 Pro Preview", "source_model_slug": "gemini-3-pro-preview", "evidence_scope": "official public trajectory JSONL; summed agent_cost over all 108 tasks for one model run", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 68397190, "output_tokens": 978812, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 69376002 }, "total_cost_usd": 148.5402, "reported_items": 108, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Run/model-specific agent benchmark cost. JSONL rows expose per-task total_input_tokens, total_output_tokens, total_requests, and total_cost." } }, { "id": "treebench", "name": "TreeBench", "category": "Vision Spatial", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "TreeBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "truthfulqa", "name": "TruthfulQA", "category": "Factuality", "source_url": "https://github.com/sylinrl/TruthfulQA", "num_problems": 817, "canonical_setting": { "version": "TruthfulQA generation benchmark", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "TruthfulQA contains 817 questions designed to test imitative falsehoods. Count one text generation per question." }, "cost": { "source_id": "helm_classic_v0_4_0", "source_name": "HELM Classic v0.4.0", "source_url": "https://storage.googleapis.com/crfm-helm-public/classic/benchmark_output/releases/v0.4.0/groups.json", "source_benchmark_name": "TruthfulQA", "evidence_scope": "reported HELM prompt/completion token totals for the source benchmark scenario", "tokens": { "prompt_tokens": 1100944.4691282208, "completion_tokens": 2307.323482433849, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1103251.7926106546 }, "total_cost_usd": null, "reported_items": 382.9490861618799, "reported_samples": null, "relative_tokens_to_source_anchor": 0.158, "relative_cost_to_source_anchor": null, "notes": "HELM token evidence only; no dollar cost or hidden reasoning tokens are reported." } }, { "id": "tvbench", "name": "TVBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "TVBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "usamo_2025", "name": "USAMO 2025", "category": "Math", "metric": "% of 42 points", "num_problems": 6, "source_url": "https://huggingface.co/datasets/MathArena/usamo_2025", "canonical_setting": { "version": "USAMO 2025", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_usamo_2025_outputs_all_models_cost", "source_name": "MathArena USAMO 2025 output logs", "source_url": "https://matharena.ai/competition_tables/usamo--usamo_2025", "source_data_url": "https://datasets-server.huggingface.co/rows?dataset=MathArena/usamo_2025_outputs&config=default&split=train", "source_benchmark_name": "USAMO 2025", "source_model_name": "All 10 MathArena-reported models", "source_model_slug": "claude-3.7-sonnet-think; deepseek-r1; deepseek-r1-0528; gemini-2.5-pro; grok-3-think; qwq-32b; gemini-2.0-flash-thinking; o1-pro-high; o3-mini-high; o4-mini-high", "evidence_scope": "official output-log rows with per-row input tokens, output tokens, and cost for all 6 problems x 4 samples x 10 models", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 50672, "output_tokens": 3432986, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 3483658 }, "total_cost_usd": 248.69105409, "reported_items": 6, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Exact sum over 240 public MathArena per-output rows with input_tokens, output_tokens, and cost fields: 6 problems times 4 answers times 10 models. Preserves reported zero/N/A token or cost rows, e.g. Grok 3 Think and gemini-2.0-flash-thinking cost." } }, { "id": "usamo_2026", "name": "USAMO 2026", "category": "Math", "metric": "% of 42 points", "num_problems": 6, "source_url": "https://matharena.ai/usamo/", "canonical_setting": { "version": "USAMO 2026", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "notes": "tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.", "tools": "none" }, "cost": { "source_id": "matharena_usamo_2026_outputs_gpt54_xhigh_cost", "source_name": "MathArena USAMO 2026 output logs for GPT-5.4 (xhigh)", "source_url": "https://matharena.ai/usamo/", "source_data_url": "https://huggingface.co/datasets/MathArena/usamo_2026_outputs/resolve/main/data/train-00000-of-00001.parquet", "source_benchmark_name": "USAMO 2026", "source_model_name": "GPT-5.4 (xhigh)", "source_model_slug": "openai/gpt-54", "evidence_scope": "official output-log rows with per-row input tokens, output tokens, and cost for all 6 problems x 4 samples", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 49614, "output_tokens": 1365072, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1414686 }, "total_cost_usd": 20.600115, "reported_items": 6, "reported_samples": 4, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Rows where model_config=openai/gpt-54 cover idx_answer 0,1,2,3 for all 6 USAMO 2026 problems. MathArena states each model is run 4 times on each problem and displayed table cost is average cost of one model run on one problem. This covers model answer generation only, not LLM-jury grading or human verification." } }, { "id": "vending_bench_2", "name": "Vending-Bench 2", "category": "Agentic", "source_url": "https://andonlabs.com/evals/vending-bench-2", "num_problems": 15000, "canonical_setting": { "version": "Vending-Bench 2 (long-horizon planning)", "metric_type": "dollars", "range": [ 0, 100000 ], "higher_is_better": true, "multimodal_input": false, "tools": "agentic browser/email/order-management tools", "sampling": "5 runs; lower-bound messages folded into num_problems", "judge": "year-end bank account balance", "notes": "Official Vending-Bench 2 reports leaderboard scores as the average across 5 full-year simulation runs. The page states that running a model for a full year results in 3,000-6,000 messages total, so this cost count uses the source-backed lower bound of actual model messages: 5 runs times 3,000 messages = 15,000. The true per-model count can be up to 30,000 messages; either way the benchmark is Tier 3." }, "cost": { "source_id": "vending_bench_2_official_cost_chart_gemini_3_pro", "source_name": "Vending-Bench 2 official cost-per-run chart data", "source_url": "https://andonlabs.com/evals/vending-bench-2", "source_data_url": "https://andonlabs.com/_app/immutable/nodes/18.ps2zASBK.js", "source_benchmark_name": "Vending-Bench 2", "source_model_name": "Gemini 3 Pro", "source_model_slug": "gemini-3-pro", "evidence_scope": "official mean per-run input/output token usage and cost for one model row over full-year Vending-Bench 2 runs", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": 70579113, "output_tokens": 474840, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 71053953 }, "total_cost_usd": 146.86, "reported_items": 1, "reported_samples": 5, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Official Vending-Bench 2 page reports score versus mean cost per run and states costs are calculated from provider input/output token pricing without caching. This row stores the embedded chart data for Gemini 3 Pro: n=5 runs, mean_cost=$146.86, avg_input_tokens=70,579,113, avg_output_tokens=474,840. Values are one full-year simulation run averages, model/run specific." } }, { "id": "vibe_eval", "name": "Vibe-Eval", "category": "Multimodal", "source_url": "https://github.com/reka-ai/reka-vibe-eval", "num_problems": 269, "canonical_setting": { "version": "Vibe-Eval v1 overall", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "judge": "Reka Core evaluator scores each response on a 1-5 scale", "sampling": "single response per prompt", "notes": "Official paper and HF dataset report 269 visual-understanding prompts, including 100 hard prompts. Count model generations as one response per example_id; evaluator calls are scoring overhead." }, "cost": { "source_id": "vibe_eval_paper_reka_core_free_evaluator_api", "source_name": "Vibe-Eval paper/blog Reka Core evaluator free API access", "source_url": "https://arxiv.org/abs/2405.02287", "source_data_url": "https://github.com/reka-ai/reka-vibe-eval/blob/main/evaluate.py", "source_benchmark_name": "Vibe-Eval", "source_model_name": "Reka Core evaluator", "source_model_slug": "reka-core-20240501", "evidence_scope": "source-backed free evaluator API access for lightweight Vibe-Eval evaluation", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": null }, "total_cost_usd": 0.0, "reported_items": 269, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "Vibe-Eval paper/blog state that Reka Core is the automatic evaluator and API access is free/free-of-charge for lightweight Vibe-Eval evaluation. Paper results run the evaluator three times and average scores, while official evaluate.py makes one Reka Core API call per supplied generation row. No prompt/completion token counts are published; model generation cost is excluded." } }, { "id": "video_mme", "name": "Video-MME", "category": "Multimodal", "source_url": "https://video-mme.github.io/", "num_problems": 2700, "canonical_setting": { "version": "Video-MME overall (audio + visual + subtitles)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "metric": "multiple-choice QA accuracy", "sampling": "single response per question", "notes": "Official paper reports 900 videos with 2,700 QA pairs; count actual model generations as one response per QA pair. Distinct from Video-MMMU." } }, { "id": "video_mmmu", "name": "Video-MMMU", "category": "Video/Multimodal", "metric": "%", "num_problems": 900, "source_url": "https://videommmu.github.io/", "canonical_setting": { "version": "Video-MMMU overall", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "metric": "accuracy over human-annotated video QA questions", "sampling": "single response per question", "notes": "Official paper/project report 300 expert-level videos and 900 human-annotated questions across Perception, Comprehension, and Adaptation. Count one model generation per question for the overall percent score; do not count the model-report source page as the benchmark definition." } }, { "id": "videoeval_pro", "name": "VideoEval-Pro", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VideoEval-Pro", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "videoholmes", "name": "VideoHolmes", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VideoHolmes", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "videoreasonbench", "name": "VideoReasonBench", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VideoReasonBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." }, "cost": { "source_id": "videoreasonbench_paper_gemini25flash_no_thinking_response_tokens", "source_name": "VideoReasonBench paper token-count analysis", "source_url": "https://arxiv.org/abs/2505.23359", "source_data_url": "https://huggingface.co/datasets/lyx97/reasoning_videos", "source_benchmark_name": "VideoReasonBench", "source_model_name": "Gemini-2.5-Flash with thinking_budget=0", "source_model_slug": "gemini-2.5-flash; thinking_budget=0", "evidence_scope": "paper-reported average response/output tokens; derived output-token total over 1,440 questions", "tokens": { "prompt_tokens": null, "completion_tokens": null, "input_tokens": null, "output_tokens": 2678544, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 2678544 }, "total_cost_usd": null, "reported_items": 1440, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "VideoReasonBench paper reports 1,440 questions and 1,860.1 average response tokens for Gemini-2.5-Flash with no explicit thinking resources. Derived output-token total is 1,860.1*1,440=2,678,544. Output-only evidence; no input/video tokens or dollar cost are reported." } }, { "id": "videosimpleqa", "name": "VideoSimpleQA", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VideoSimpleQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "visfactor", "name": "VisFactor", "category": "Vision Perception", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VisFactor", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "vispeak", "name": "ViSpeak", "category": "Video", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ViSpeak", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "visulogic", "name": "VisuLogic", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VisuLogic", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "vitabench", "name": "VitaBench", "category": "Tool Use", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VitaBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "tool calls", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "viverbench", "name": "ViVerBench", "category": "Vision VQA", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ViVerBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "vlms_are_biased", "name": "VLMsAreBiased", "category": "Vision Perception", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VLMsAreBiased", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "vlms_are_blind", "name": "VLMsAreBlind", "category": "Vision Perception", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VLMsAreBlind", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "vpct", "name": "VPCT", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "VPCT", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "widesearch", "name": "WideSearch (item-F1)", "category": "Search Agent", "metric": "%", "num_problems": 200, "source_url": "https://huggingface.co/datasets/ByteDance-Seed/WideSearch", "canonical_setting": { "version": "WideSearch overall (item-F1)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "search/browser access required", "judge": "evaluation pipeline mixes exact/URL/numeric matching with LLM-assisted cell judgment", "metric": "item-F1 over required table fields", "sampling": "single final response per task", "notes": "Official paper and dataset report 200 broad information-seeking tasks, split 100 English and 100 Chinese. Count one model generation per task; item-F1 expands the scoring units, not the number of model generations." } }, { "id": "wildbench", "name": "WildBench", "category": "Chat", "metric": "Raw Score", "num_problems": null, "source_url": "https://github.com/InternLM/InternLM", "canonical_setting": { "version": "WildBench (Raw Score)", "metric_type": "raw", "range": [ null, null ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per InternLM3 GitHub README. WildBench raw score." }, "cost": { "source_id": "helm_capabilities_v1_15_0", "source_name": "HELM Capabilities v1.15.0", "source_url": "https://raw.githubusercontent.com/stanford-crfm/helm/main/docs/benchmark.md", "source_benchmark_name": "WildBench", "evidence_scope": "observed model-inference totals for the source evaluation run", "tokens": { "prompt_tokens": 0.0, "completion_tokens": 205215.381, "total_tokens": 205215.381 }, "total_cost_usd": null, "relative_tokens_to_source_anchor": 2.317, "relative_cost_to_source_anchor": null, "notes": "Inference-side token/cost evidence only; judge, human-review, tool/environment, and infrastructure costs are separate protocol factors." } }, { "id": "world_travel_text", "name": "WorldTravel (TEXT)", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "WorldTravel (TEXT)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "world_travel_vlm", "name": "WorldTravel (VLM)", "category": "Real-world", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "WorldTravel (VLM)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "worldvqa", "name": "WorldVQA", "category": "Vision", "metric": "%", "num_problems": null, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "canonical_setting": { "version": "WorldVQA", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Kimi K2.5 model card." } }, { "id": "xbench_deepsearch", "name": "xbench-DeepSearch", "category": "Search Agent", "metric": "%", "num_problems": 100, "source_url": "https://huggingface.co/datasets/xbench/DeepSearch", "canonical_setting": { "version": "xbench-DeepSearch original release", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "search/retrieval environment required", "metric": "accuracy", "sampling": "single answer per task", "notes": "Official xbench DeepSearch HF dataset reports 100 encrypted rows/tasks and describes a search/information-retrieval evaluation. Count one model generation per task; do not use the MiniMax M2 model card as the benchmark definition. Later DeepSearch-2510 is a separate variant and also has 100 rows." } }, { "id": "xlrs_macro", "name": "XLRS-Bench (macro)", "category": "Vision STEM", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "XLRS-Bench (macro)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "xpert_bench", "name": "XPertBench", "category": "Economic", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "XPertBench", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": false, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." } }, { "id": "zerobench_main", "name": "ZeroBench (main)", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ZeroBench (main)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." }, "cost": { "source_id": "zerobench_v2_table3_o1_main_completion_tokens_cost", "source_name": "ZeroBench paper Table 3 completion tokens and cost", "source_url": "https://arxiv.org/abs/2502.09696", "source_data_url": "https://arxiv.org/html/2502.09696v2", "source_benchmark_name": "ZeroBench main questions", "source_model_name": "o1", "source_model_slug": "o1-2024-12-17", "evidence_scope": "paper-reported average completion tokens and completion-token cost per main question; derived total over 100 questions", "tokens": { "prompt_tokens": null, "completion_tokens": 749600, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 749600 }, "total_cost_usd": 47.2, "reported_items": 100, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "ZeroBench paper Table 3 reports o1 main-question average completion tokens=7,496 and cost=$0.472 per question. Derived totals: 7,496*100=749,600 completion tokens and $0.472*100=$47.20. Input/image prompt costs are not included." } }, { "id": "zerobench_sub", "name": "ZeroBench (sub)", "category": "Vision Puzzles", "metric": "%", "num_problems": null, "source_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "canonical_setting": { "version": "ZeroBench (sub)", "metric_type": "pct", "range": [ 0, 100 ], "higher_is_better": true, "multimodal_input": true, "tools": "none", "notes": "Per Doubao Seed 2.0 Pro model card." }, "cost": { "source_id": "zerobench_v2_table3_o1_sub_completion_tokens_cost", "source_name": "ZeroBench paper Table 3 completion tokens and cost", "source_url": "https://arxiv.org/abs/2502.09696", "source_data_url": "https://arxiv.org/html/2502.09696v2", "source_benchmark_name": "ZeroBench subquestions", "source_model_name": "o1", "source_model_slug": "o1-2024-12-17", "evidence_scope": "paper-reported average completion tokens and completion-token cost per subquestion; derived total over 334 subquestions", "tokens": { "prompt_tokens": null, "completion_tokens": 1299594, "input_tokens": null, "output_tokens": null, "reasoning_tokens": null, "answer_tokens": null, "total_tokens": 1299594 }, "total_cost_usd": 81.83, "reported_items": 334, "reported_samples": 1, "relative_tokens_to_source_anchor": null, "relative_cost_to_source_anchor": null, "notes": "ZeroBench paper Table 3 reports o1 subquestion average completion tokens=3,891 and cost=$0.245 per subquestion. Derived totals: 3,891*334=1,299,594 completion tokens and $0.245*334=$81.83. Input/image prompt costs are not included." } }, { "id": "zerobench_tools", "name": "ZeroBench (w/ tools)", "category": "Reasoning & Knowledge", "metric": "accuracy (%)", "higher_is_better": true, "source_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "notes": "ZeroBench evaluated with tool access (search, code, web)", "canonical_setting": { "version": "ZeroBench with tools", "metric": "accuracy (%)", "pass_at_k": "pass@1", "notes": "Tool-augmented evaluation" } } ], "scores": [ { "model_id": "claude-haiku-4.5", "benchmark_id": "tau2_bench_airline", "score": 63.6, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Airline Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), airline domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for airline domain \u2192 matches_canonical=false." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "tau2_bench_retail", "score": 83.2, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "default", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), retail domain, 128K thinking, avg 10 runs." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "tau2_bench_telecom", "score": 83.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Telecom Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), telecom domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for telecom domain \u2192 matches_canonical=false." }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau2_bench_airline", "score": 63.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Airline Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), airline domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for airline domain \u2192 matches_canonical=false." }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau2_bench_retail", "score": 83.8, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "default", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), retail domain, 128K thinking, avg 10 runs." }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau2_bench_telecom", "score": 49.6, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Telecom Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), telecom domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for telecom domain \u2192 matches_canonical=false.", "candidates": [ { "score": 65, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4=65." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau2_bench_airline", "score": 70.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Airline Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), airline domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for airline domain \u2192 matches_canonical=false." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau2_bench_retail", "score": 86.2, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "default", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), retail domain, 128K thinking, avg 10 runs." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau2_bench_telecom", "score": 98.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Telecom Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), telecom domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for telecom domain \u2192 matches_canonical=false.", "candidates": [ { "score": 78, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=78." } ] }, { "model_id": "gpt-5", "benchmark_id": "tau2_bench_airline", "score": 62.6, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Airline Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), airline domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for airline domain \u2192 matches_canonical=false. Reported by Anthropic, not OpenAI primary \u2014 source_type=tech_report (third-party measurement on competitor model)." }, { "model_id": "gpt-5", "benchmark_id": "tau2_bench_retail", "score": 81.1, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "default", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), retail domain, 128K thinking, avg 10 runs. Reported by Anthropic, not OpenAI primary \u2014 source_type=tech_report (third-party measurement on competitor model)." }, { "model_id": "gpt-5", "benchmark_id": "tau2_bench_telecom", "score": 96.7, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1 (avg 10 runs)", "judge": "official harness", "harness": "\u03c4\u00b2-bench official", "prompt_style": "official + prompt addendum to Telecom Agent Policy and User prompt (per Anthropic blog)", "temperature": "default", "tools": "agentic (\u03c4\u00b2-bench official tools + tool use)" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "Anthropic Haiku 4.5 blog (cross-model comparison table), telecom domain, 128K thinking, avg 10 runs. Prompt addendum added to Agent Policy and User prompt for telecom domain \u2192 matches_canonical=false. Reported by Anthropic, not OpenAI primary \u2014 source_type=tech_report (third-party measurement on competitor model).", "candidates": [ { "score": 85, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=85." } ] }, { "model_id": "o3-mini-high", "benchmark_id": "aime_2024", "score": 87.3, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o3-mini-high=87.3.", "candidates": [ { "score": 88.0, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): aime_2024=88.0 (alt measurement, mc=false)" } ] }, { "model_id": "o3-mini-high", "benchmark_id": "gpqa_diamond", "score": 77.2, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o3-mini-high=77.2.", "candidates": [ { "score": 79.7, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=79.7." }, { "score": 77.7, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): gpqa_diamond=77.7 (alt measurement, mc=false)" }, { "score": 79.7, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog (third-party eval): o3-mini-high GPQA Diamond=79.7%. BP primary=77.2 from gpt-4-1 blog." } ] }, { "model_id": "o3-mini-high", "benchmark_id": "codeforces_rating", "score": 2130, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): codeforces_rating=2130 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "o3-mini-high", "benchmark_id": "mmlu", "score": 86.9, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o3-mini-high=86.9." }, { "model_id": "o3-mini-high", "benchmark_id": "math_500", "score": 97.9, "reference_url": "https://github.com/openai/simple-evals", "audit_status": "verified", "reported_setting": "MATH-500, 0-shot (footnote: MATH-500 not full MATH for newer models)", "source_type": "tech_report", "matches_canonical": true }, { "model_id": "o3-mini-high", "benchmark_id": "humaneval", "score": 97.6, "reference_url": "https://github.com/openai/simple-evals", "audit_status": "verified", "reported_setting": "HumanEval, 0-shot", "source_type": "tech_report", "matches_canonical": true }, { "model_id": "o3-mini-high", "benchmark_id": "simpleqa", "score": 13.8, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=13.8." }, { "model_id": "o3-mini-high", "benchmark_id": "hle", "score": 13.0, "reference_url": "https://scale.com/leaderboard/humanitys_last_exam", "audit_status": "dropped", "notes": " [Dropped: Model not found in current Scale.com HLE leaderboard (50 entries, 2026-04-29 scrape). Ghost cell per R5g-a-ghost-cell.]" }, { "model_id": "o3-mini-high", "benchmark_id": "frontiermath", "score": 12.4, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: o3-mini-2025-01-31_high = 12.4% (mean_score=0.124). Canonical effort=high matches." }, { "model_id": "o3-mini-high", "benchmark_id": "aime_2025", "score": 86.5, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=86.5.", "candidates": [ { "score": 82.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): aime_2025=82.5 (alt measurement, mc=false)" } ] }, { "model_id": "o3-mini-high", "benchmark_id": "chatbot_arena_elo", "score": 1363, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: o3-mini-high (rank 144). ELO updates continuously; score reflects latest available." }, { "model_id": "o3-mini-high", "benchmark_id": "arena_hard", "score": 81.9, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (o3-mini-high column): arena_hard=81.9. [R5d: prior unverified value 43.0 from https://github.com/lmarena/arena-hard-auto deleted.]" }, { "model_id": "o3-mini-high", "benchmark_id": "hmmt_feb_2025", "score": 67.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): hmmt_2025=67.5. [R5d: prior unverified value 50.0 from https://matharena.ai/?comp=hmmt--hmmt_feb_2025 deleted.]" }, { "model_id": "o3-mini-high", "benchmark_id": "ifeval", "score": 93.9, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o3-mini-high=93.9.", "candidates": [ { "score": 93.7, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=93.7." }, { "score": 91.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (o3-mini-high column): ifeval=91.5 (alt measurement, mc=false)" } ] }, { "model_id": "o3-mini-high", "benchmark_id": "livecodebench", "score": 68.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): livecodebench=68.8. [R5d: prior unverified value 74.1 from https://openai.com/index/openai-o3-mini/ deleted.]" }, { "model_id": "o3-mini-high", "benchmark_id": "mmlu_pro", "score": 82.4, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=82.4.", "candidates": [ { "score": 79.4, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (o3-mini-high column): mmlu_pro=79.4 (alt measurement, mc=false)" } ] }, { "model_id": "o3-mini-high", "benchmark_id": "swe_bench_verified", "score": 61.0, "reference_url": "https://openai.com/index/introducing-gpt-4-5/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (GPT-4.5 blog)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.5 blog: o3-mini-high=61.0. (GPT-4.1 blog 477-subset value 49.3 dropped \u2014 was different N).", "candidates": [ { "score": 49.3, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=49.3." } ] }, { "model_id": "o3-mini-high", "benchmark_id": "arc_agi_1", "score": 25.8, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: o3-mini-high=25.8." }, { "model_id": "o3-mini-high", "benchmark_id": "arc_agi_2", "score": 3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: o3-mini (High) on leaderboard" }, { "model_id": "o3-mini-high", "benchmark_id": "usamo_2025", "score": 2.08, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-4.5", "benchmark_id": "simpleqa", "score": 62.5, "reference_url": "https://www.helicone.ai/blog/gpt-4.5-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.5", "benchmark_id": "mmlu", "score": 90.8, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.5=90.8." }, { "model_id": "gpt-4.5", "benchmark_id": "gpqa_diamond", "score": 69.5, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.5=69.5." }, { "model_id": "gpt-4.5", "benchmark_id": "swe_bench_verified", "score": 38.0, "reference_url": "https://openai.com/index/introducing-gpt-4-5/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (GPT-4.5 blog)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.5 blog: gpt-4.5=38.0. (GPT-4.1 blog 477-subset value 38.0 dropped \u2014 was different N).", "candidates": [] }, { "model_id": "gpt-4.5", "benchmark_id": "aime_2024", "score": 36.7, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.5=36.7." }, { "model_id": "gpt-4.5", "benchmark_id": "arena_hard", "score": 51.4, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.5", "benchmark_id": "arc_agi_1", "score": 10.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.5 Base LLM on leaderboard" }, { "model_id": "gpt-4.5", "benchmark_id": "arc_agi_2", "score": 0.8, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.5 Base LLM on leaderboard" }, { "model_id": "gpt-4.5", "benchmark_id": "humaneval", "score": 86.6, "reference_url": "https://www.helicone.ai/blog/gpt-4.5-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.5", "benchmark_id": "ifeval", "score": 88.2, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.5=88.2." }, { "model_id": "gpt-4.5", "benchmark_id": "mmlu_pro", "score": 74.3, "reference_url": "https://www.helicone.ai/blog/gpt-4.5-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.1", "benchmark_id": "swe_bench_verified", "score": 54.6, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "dropped", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=54.6 (high reasoning effort). DROPPED: source uses 477/500 subset (omit 23 problems), not full SWE-bench Verified." }, { "model_id": "gpt-4.1", "benchmark_id": "mmlu", "score": 90.2, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1=90.2." }, { "model_id": "gpt-4.1", "benchmark_id": "gpqa_diamond", "score": 66.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=66.3 (high reasoning effort)." }, { "model_id": "gpt-4.1", "benchmark_id": "ifeval", "score": 87.4, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1=87.4." }, { "model_id": "gpt-4.1", "benchmark_id": "mmmu", "score": 74.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=74.8 (high reasoning effort)." }, { "model_id": "gpt-4.1", "benchmark_id": "arena_hard", "score": 61.5, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.1", "benchmark_id": "aime_2024", "score": 48.1, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1=48.1." }, { "model_id": "gpt-4.1", "benchmark_id": "aime_2025", "score": 46.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=46.4 (high reasoning effort)." }, { "model_id": "gpt-4.1", "benchmark_id": "hle", "score": 5.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=5.4 (high reasoning effort)." }, { "model_id": "gpt-4.1", "benchmark_id": "hmmt_feb_2025", "score": 28.9, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=28.9 (high reasoning effort)." }, { "model_id": "gpt-4.1", "benchmark_id": "humaneval", "score": 92.0, "reference_url": "https://openai.com/index/gpt-4-1/", "audit_status": "dropped", "notes": " [R5g: ghost cell \u2014 openai.com/gpt-4-1 blog does NOT contain HumanEval data; score 92.0 origin unknown. Dropped per R5g.]" }, { "model_id": "gpt-4.1", "benchmark_id": "livecodebench", "score": 44.7, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). LiveCodeBench v6 (Aug 2024\u2013May 2025), non-thinking, 8192 max output tokens." }, { "model_id": "gpt-4.1", "benchmark_id": "math_500", "score": 92.4, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). MATH-500 Acc, non-thinking, 8192 max output tokens." }, { "model_id": "gpt-4.1", "benchmark_id": "mmlu_pro", "score": 81.8, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1 (EM)", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). MMLU-Pro EM, non-thinking, 8192 max output tokens." }, { "model_id": "gpt-4.1", "benchmark_id": "simpleqa", "score": 42.3, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking, 8192 max output tokens." }, { "model_id": "gpt-4.1", "benchmark_id": "arc_agi_1", "score": 5.5, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1 Base LLM on leaderboard" }, { "model_id": "gpt-4.1", "benchmark_id": "arc_agi_2", "score": 0.4, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1 Base LLM on leaderboard" }, { "model_id": "gpt-4.1", "benchmark_id": "codeforces_rating", "score": 1807, "reference_url": "https://openai.com/index/gpt-4-1/", "audit_status": "dropped", "notes": " [R5g: ghost cell \u2014 openai.com/gpt-4-1 blog does NOT contain Codeforces data; score 1807 origin unknown. Dropped per R5g.]" }, { "model_id": "gpt-4.1", "benchmark_id": "mrcr_v2", "score": 80, "reference_url": "https://awesomeagents.ai/leaderboards/long-context-benchmarks-leaderboard/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.1", "benchmark_id": "terminal_bench_1", "score": 30.3, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 30.3% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15). model=gpt-4.1" }, { "model_id": "gpt-4.1-mini", "benchmark_id": "ifeval", "score": 84.1, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-mini=84.1." }, { "model_id": "gpt-4.1-mini", "benchmark_id": "mmmu", "score": 72.7, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1-mini=72.7 (high reasoning effort)." }, { "model_id": "gpt-4.1-mini", "benchmark_id": "arena_hard", "score": 28.2, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.1-mini", "benchmark_id": "gpqa_diamond", "score": 65.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1-mini=65.0 (high reasoning effort)." }, { "model_id": "gpt-4.1-mini", "benchmark_id": "humaneval", "score": 90.0, "reference_url": "https://www.helicone.ai/blog/gpt-4.1-full-developer-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.1-mini", "benchmark_id": "mmlu", "score": 87.5, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-mini=87.5." }, { "model_id": "gpt-4.1-mini", "benchmark_id": "simpleqa", "score": 20.0, "reference_url": "https://www.helicone.ai/blog/gpt-4.1-full-developer-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-4.1-mini", "benchmark_id": "arc_agi_1", "score": 3.5, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1-Mini Base LLM on leaderboard" }, { "model_id": "gpt-4.1-mini", "benchmark_id": "arc_agi_2", "score": 0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1-Mini Base LLM on leaderboard" }, { "model_id": "gpt-4.1-mini", "benchmark_id": "bigcodebench", "score": 48.9, "reference_url": "https://bigcode-bench.github.io/", "audit_status": "verified", "reported_setting": "BigCodeBench Complete Instruct pass@1", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.1-nano", "benchmark_id": "mmlu", "score": 80.1, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-nano=80.1." }, { "model_id": "gpt-4.1-nano", "benchmark_id": "gpqa_diamond", "score": 50.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1-nano=50.3 (high reasoning effort)." }, { "model_id": "gpt-4.1-nano", "benchmark_id": "arena_hard", "score": 10.7, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.1-nano", "benchmark_id": "humaneval", "score": 78.0, "reference_url": "https://www.datacamp.com/blog/gpt-4-1", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "gpt-4.1-nano", "benchmark_id": "ifeval", "score": 74.5, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-nano=74.5." }, { "model_id": "gpt-4.1-nano", "benchmark_id": "arc_agi_1", "score": 0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1-Nano Base LLM on leaderboard" }, { "model_id": "gpt-4.1-nano", "benchmark_id": "arc_agi_2", "score": 0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: GPT-4.1-Nano Base LLM on leaderboard" }, { "model_id": "o3-high", "benchmark_id": "aime_2024", "score": 96.7, "reference_url": "https://openai.com/index/introducing-o3-and-o4-mini/", "audit_status": "needs_review", "audit_note": "openai.com/index/introducing-o3-and-o4-mini/ returns 403 (Cloudflare blocked). Value 96.7 widely cited from official Dec 2024 o3 announcement; primary URL inaccessible to bot.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z", "candidates": [ { "score": 91.6, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "aime_2025", "score": 88.9, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=88.9 (high reasoning effort).", "candidates": [ { "score": 86.4, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "gpqa_diamond", "score": 83.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=83.3 (high reasoning effort).", "candidates": [ { "score": 83.4, "reference_url": "https://github.com/openai/simple-evals", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "openai/simple-evals: o3-high GPQA=83.4 [fn8: includes answer regex tweak for GPQA]. Differs from verified 83.3 (GPT-5 dev blog)." }, { "score": 83.3, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "swe_bench_verified", "score": 69.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "dropped", "notes": "OpenAI GPT-5 dev blog: o3-high=69.1 (high reasoning effort). DROPPED: source uses 477/500 subset (omit 23 problems), not full SWE-bench Verified.", "candidates": [ { "score": 69.1, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "frontiermath", "score": 15.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "python tool", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with python tool (per OpenAI dev blog)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=15.8 (high reasoning effort).", "candidates": [ { "score": 15.8, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "livecodebench", "score": 75.8, "reference_url": "https://www.alphaxiv.org/benchmarks/uc-berkeley/livecodebench", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "o3-high", "benchmark_id": "math_500", "score": 98.1, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o3-high=98.1 [fn6: MATH=MATH-500 for post-o1 models]. Prior ref (artificialanalysis.ai) reported 99.2 \u2014 overwritten." }, { "model_id": "o3-high", "benchmark_id": "codeforces_rating", "score": 2706, "reference_url": "https://www.datacamp.com/blog/o4-mini", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "o3-high", "benchmark_id": "arc_agi_2", "score": 6.5, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: o3 (High) on leaderboard" }, { "model_id": "o3-high", "benchmark_id": "arena_hard", "score": 85.9, "reference_url": "https://llm-stats.com/benchmarks/arena-hard", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "o3-high", "benchmark_id": "mmlu", "score": 93.3, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o3-high=93.3." }, { "model_id": "o3-high", "benchmark_id": "humaneval", "score": 88.4, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o3-high=88.4." }, { "model_id": "o3-high", "benchmark_id": "simpleqa", "score": 48.6, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o3-high=48.6." }, { "model_id": "o3-high", "benchmark_id": "hle", "score": 20.2, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=20.2 (high reasoning effort).", "candidates": [ { "score": 14.7, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "browsecomp", "score": 49.7, "reference_url": "https://www.helicone.ai/blog/o3-and-o4-mini-for-developers", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail", "candidates": [ { "score": 49.7, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "mmmu", "score": 82.9, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=82.9 (high reasoning effort).", "candidates": [ { "score": 82.9, "reference_url": "https://llm-stats.com/benchmarks/mmmu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "arc_agi_1", "score": 60.8, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: o3 (High) on leaderboard", "candidates": [ { "score": 88.0, "reference_url": "https://llm-stats.com/benchmarks/arc-agi", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "hmmt_feb_2025", "score": 81.7, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=81.7 (high reasoning effort)." }, { "model_id": "o3-high", "benchmark_id": "ifeval", "score": 92.1, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Card reports OpenAI O3 IFEval=92.1 at medium effort (no asterisk). JSON model o3-high is high effort. Effort mismatch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "o3-high", "benchmark_id": "imo_2025", "score": 16.67, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o3-high", "benchmark_id": "mmlu_pro", "score": 85.9, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Card reports OpenAI O3 MMLU-Pro=85.9 at medium effort. JSON model o3-high is high effort. Effort mismatch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "o3-high", "benchmark_id": "mmmu_pro", "score": 76.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "avg across standard and vision sets", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=76.4 (high reasoning effort).", "candidates": [ { "score": 76.4, "reference_url": "https://llm-stats.com/benchmarks/mmmu-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": "o3-high", "benchmark_id": "usamo_2025", "score": 21.9, "reference_url": "https://files.sri.inf.ethz.ch/matharena/usamo_report.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Model not in USAMO report. Paper evaluates GEMINI-2.5-PRO/R1/GROK3/FLASH-THINKING/CLAUDE3.7/QWQ/O1-PRO/O3-MINI only.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:11:23Z" }, { "model_id": "o3-high", "benchmark_id": "aa_lcr", "score": 69, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA LCR eval page: o3 (default=high effort) lcr=0.693 \u2192 69.3%, displayed as 69. AA slug: o3.", "reported_setting": { "mode": "thinking", "effort": "high (AA default)", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "AA evaluates o3 at high effort by default per aa/evaluations/artificial-analysis-long-context-reasoning" } }, { "model_id": "o3-high", "benchmark_id": "brumo_2025", "score": 95.83, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o3-high", "benchmark_id": "cmimc_2025", "score": 79.38, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o3-high", "benchmark_id": "critpt", "score": 1.4, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "o3-high", "benchmark_id": "ifbench", "score": 69.3, "reference_url": "https://github.com/allenai/IFBench", "audit_status": "verified", "reported_setting": "IFBench score, 0-shot", "source_type": "leaderboard", "matches_canonical": true, "notes": "Source lists \"OpenAI o3\" without explicit effort level" }, { "model_id": "o3-high", "benchmark_id": "smt_2025", "score": 87.74, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o3-high", "benchmark_id": "terminal_bench_1", "score": 30.2, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 30.2% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15). model listed as o3 (high effort)" }, { "model_id": "o4-mini-high", "benchmark_id": "aime_2024", "score": 93.4, "reference_url": "https://www.datacamp.com/blog/o4-mini", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]", "candidates": [ { "score": 93.4, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "aime_2025", "score": 92.7, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=92.7 (high reasoning effort).", "candidates": [ { "score": 92.7, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "gpqa_diamond", "score": 81.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=81.4 (high reasoning effort).", "candidates": [ { "score": 81.3, "reference_url": "https://github.com/openai/simple-evals", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "openai/simple-evals: o4-mini-high GPQA=81.3 [fn8: includes answer regex tweak for GPQA]. Differs from verified 81.4 (GPT-5 dev blog)." }, { "score": 81.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "swe_bench_verified", "score": 68.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "dropped", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=68.1 (high reasoning effort). DROPPED: source uses 477/500 subset (omit 23 problems), not full SWE-bench Verified.", "candidates": [ { "score": 68.1, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "frontiermath", "score": 15.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "python tool", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with python tool (per OpenAI dev blog)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=15.4 (high reasoning effort)." }, { "model_id": "o4-mini-high", "benchmark_id": "livecodebench", "score": 80.2, "reference_url": "https://www.alphaxiv.org/benchmarks/uc-berkeley/livecodebench", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "o4-mini-high", "benchmark_id": "humaneval", "score": 99.3, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o4-mini-high=99.3. Prior ref (rdworldonline) reported 98.5 \u2014 overwritten." }, { "model_id": "o4-mini-high", "benchmark_id": "codeforces_rating", "score": 2719, "reference_url": "https://www.datacamp.com/blog/o4-mini", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "o4-mini-high", "benchmark_id": "arena_hard", "score": 79.1, "reference_url": "https://llm-stats.com/benchmarks/arena-hard", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "o4-mini-high", "benchmark_id": "mmlu", "score": 90.3, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o4-mini-high=90.3." }, { "model_id": "o4-mini-high", "benchmark_id": "math_500", "score": 98.2, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o4-mini-high=98.2 [fn6: MATH=MATH-500]." }, { "model_id": "o4-mini-high", "benchmark_id": "simpleqa", "score": 19.3, "reference_url": "https://github.com/openai/simple-evals", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "openai/simple-evals README (no tools, [^10]): o4-mini-high=19.3." }, { "model_id": "o4-mini-high", "benchmark_id": "hle", "score": 14.7, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=14.7 (high reasoning effort).", "candidates": [ { "score": 14.7, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "arc_agi_2", "score": 6.1, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: o4-mini (High) on leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "mmmu", "score": 81.6, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=81.6 (high reasoning effort).", "candidates": [ { "score": 81.6, "reference_url": "https://llm-stats.com/benchmarks/mmmu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" } ] }, { "model_id": "o4-mini-high", "benchmark_id": "hmmt_feb_2025", "score": 85.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o4-mini-high=85.0 (high reasoning effort)." }, { "model_id": "o4-mini-high", "benchmark_id": "ifeval", "score": 92.4, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-235B card: OpenAI O4-mini* IFEval=92.4 (asterisk=high effort, matches o4-mini-high canonical).", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "o4-mini-high", "benchmark_id": "mmlu_pro", "score": 81.9, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Card reports O4-mini MMLU-Pro=81.9 without asterisk (medium effort). JSON model o4-mini-high is high effort. Effort mismatch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "o4-mini-high", "benchmark_id": "usamo_2025", "score": 19.3, "reference_url": "https://files.sri.inf.ethz.ch/matharena/usamo_report.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Model not in USAMO report. Paper evaluates GEMINI-2.5-PRO/R1/GROK3/FLASH-THINKING/CLAUDE3.7/QWQ/O1-PRO/O3-MINI only.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:11:23Z" }, { "model_id": "o4-mini-high", "benchmark_id": "arc_agi_1", "score": 58.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: o4-mini (High) on leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "brumo_2025", "score": 86.67, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "cmimc_2025", "score": 84.38, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "critpt", "score": 0.6, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "o4-mini-high", "benchmark_id": "imo_2025", "score": 14.29, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "smt_2025", "score": 88.68, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "o4-mini-high", "benchmark_id": "terminal_bench_1", "score": 18.5, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 18.5% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15). model listed as o4-mini (high effort)" }, { "model_id": "gpt-5", "benchmark_id": "aime_2025", "score": 94.6, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "candidates": [ { "score": 94, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=94." }, { "score": 94.6, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 High, slug=gpt-5-high-2025-08-07, provider=OpenAI" }, { "score": 88.9, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "medium" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 Medium, slug=gpt-5-medium-2025-08-07, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 94.6." }, { "model_id": "gpt-5", "benchmark_id": "gpqa_diamond", "score": 85.7, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "candidates": [ { "score": 88.4, "reference_url": "https://openai.com/index/introducing-gpt-5/", "source_type": "third_party", "reported_setting": {}, "notes": " (demoted by 5.1 dev blog)" }, { "score": 85, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=85." }, { "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "medium" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 Medium, slug=gpt-5-medium-2025-08-07, provider=OpenAI" }, { "score": 87.3, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 High, slug=gpt-5-high-2025-08-07, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 85.7." }, { "model_id": "gpt-5", "benchmark_id": "swe_bench_verified", "score": 74.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "candidates": [ { "score": 72.8, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (apply_patch JSON)", "sampling": "pass@1", "judge": "rule-based", "harness": "JSON-based apply_patch", "prompt_style": "default", "temperature": "default" }, "notes": "GPT-5.1 dev blog cross-model column reported 72.8 (demoted by GPT-5 own dev blog)." }, { "score": 74.9, "reference_url": "https://openai.com/index/introducing-gpt-5/", "source_type": "third_party", "reported_setting": {}, "notes": " (demoted by 5.1 dev blog)" }, { "score": 72.8, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "source_type": "official_blog", "notes": "gpt-5.1 blog cross-model col: GPT-5 SWE-bench Verified=72.8% (vs dev blog 74.9%)" } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=74.9." }, { "model_id": "gpt-5", "benchmark_id": "mmmu", "score": 84.2, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 84.2." }, { "model_id": "gpt-5", "benchmark_id": "math_500", "score": 99.4, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA MATH-500 eval page: gpt-5 math_500=0.994 \u2192 99.4%. AA slug: gpt-5 (deprecated, reasoning variant).", "reported_setting": { "mode": "thinking", "effort": "high (AA default)", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "Per AA evaluations/math-500: gpt-5 math_500=99.4%" } }, { "model_id": "gpt-5", "benchmark_id": "tau_bench_telecom", "score": 97.0, "reference_url": "https://www.digitalocean.com/resources/articles/gpt-5-overview", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5", "benchmark_id": "hle", "score": 24.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-5=24.8 (high reasoning effort).", "candidates": [ { "score": 26.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=26.3." }, { "score": 26.3, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: gpt-5=26.3." }, { "score": 26.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: gpt-5=26.3." } ] }, { "model_id": "gpt-5", "benchmark_id": "browsecomp", "score": 54.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=54.9." }, { "model_id": "gpt-5", "benchmark_id": "mmlu_pro", "score": 87.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=87.5.", "candidates": [ { "score": 87.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: gpt-5=87.1." }, { "score": 87, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=87." } ] }, { "model_id": "gpt-5", "benchmark_id": "aa_lcr", "score": 76, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gpt-5=76." }, { "model_id": "gpt-5", "benchmark_id": "simpleqa", "score": 55.0, "reference_url": "https://cdn.openai.com/gpt-5-system-card.pdf", "audit_status": "verified", "source_type": "official_paper", "matches_canonical": true, "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:09:38Z", "audit_note": "Table 8 in system card: gpt-5-thinking SimpleQA(noweb) accuracy=0.55 (=55%)." }, { "model_id": "gpt-5", "benchmark_id": "frontiermath", "score": 26.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "python tool", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with python tool (per OpenAI dev blog)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-5=26.3 (high reasoning effort)." }, { "model_id": "gpt-5", "benchmark_id": "livecodebench", "score": 84.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=84.5.", "candidates": [ { "score": 85, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=85." } ] }, { "model_id": "gpt-5", "benchmark_id": "codeforces_rating", "score": 2537, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=2537." }, { "model_id": "gpt-5", "benchmark_id": "swe_bench_pro", "score": 41.78, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "notes": " [Verified against Scale.com SWE-Bench Pro Public leaderboard (2026-04-29): gpt-5-2025-08-07 (High) = 41.78. Scale uses standardized evaluation scaffolding.]" }, { "model_id": "gpt-5", "benchmark_id": "arc_agi_1", "score": 65.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: GPT-5 (High) on leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "arc_agi_2", "score": 9.9, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: GPT-5 (High) on leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "chatbot_arena_elo", "score": 1460, "reference_url": "https://lmarena.ai/", "audit_status": "needs_review", "audit_note": "lmarena.ai is a dynamic leaderboard; ELO values change over time. Cannot verify static value 1460 from snapshot-dependent source via automated audit.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "gpt-5", "benchmark_id": "humaneval", "score": 94.0, "reference_url": "https://cdn.openai.com/gpt-5-system-card.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in GPT-5 system card PDF. Card covers safety/hallucination evals; no humaneval table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:09:38Z" }, { "model_id": "gpt-5", "benchmark_id": "ifeval", "score": 90.0, "reference_url": "https://cdn.openai.com/gpt-5-system-card.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in GPT-5 system card PDF. Card covers safety/hallucination evals; no ifeval table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:09:38Z" }, { "model_id": "gpt-5", "benchmark_id": "mmlu", "score": 91.0, "reference_url": "https://cdn.openai.com/gpt-5-system-card.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in GPT-5 system card PDF. Card covers safety/hallucination evals; no mmlu table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:09:38Z" }, { "model_id": "gpt-5", "benchmark_id": "osworld", "score": 40.0, "reference_url": "https://www.digitalocean.com/resources/articles/gpt-5-overview", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5", "benchmark_id": "terminal_bench", "score": 35.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=35.2.", "candidates": [ { "score": 43.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gpt-5=43.8." } ] }, { "model_id": "gpt-5", "benchmark_id": "aa_intelligence_index", "score": 69, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gpt-5=69." }, { "model_id": "gpt-5", "benchmark_id": "aime_2024", "score": 94.6, "reference_url": "https://openai.com/index/introducing-gpt-5/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5/ blog reports only AIME 2025 (94.6%) for gpt-5, not AIME 2024. The 94.6% value duplicates gpt-5/aime_2025 which is already verified separately. Cell benchmark_id mismatch: drop." }, { "model_id": "gpt-5", "benchmark_id": "brumo_2025", "score": 91.67, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "cmimc_2025", "score": 90, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "critpt", "score": 5.7, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-5", "benchmark_id": "hmmt_nov_2025", "score": 89.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=89.2." }, { "model_id": "gpt-5", "benchmark_id": "imo_2025", "score": 38.1, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "livebench", "score": 71.3, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "n/a", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): gpt-5-pro-2025-10-06 avg=71.3. Matched as closest GPT-5 entry; canonical effort=high not confirmed for this variant (no \"-high\" suffix). See review. BP had 70.5." }, { "model_id": "gpt-5", "benchmark_id": "matharena_apex_2025", "score": 1.04, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "simplebench", "score": 61.6, "reference_url": "https://lmcouncil.ai/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail | DROPPED (R5g-c stale, never verified, source not audited in any pass)" }, { "model_id": "gpt-5", "benchmark_id": "smt_2025", "score": 91.98, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5", "benchmark_id": "terminal_bench_1", "score": 41.3, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 41.3% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 2 scaffold, 2025-08-11)." }, { "model_id": "gpt-oss-120b", "benchmark_id": "aime_2025", "score": 97.9, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): AIME 2025 with-tools 97.9", "candidates": [ { "score": 92.5, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-120b", "benchmark_id": "gpqa_diamond", "score": 80.9, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): GPQA Diamond with-tools 80.9", "candidates": [ { "score": 80.9, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-120b", "benchmark_id": "mmlu_pro", "score": 90.0, "reference_url": "https://www.clarifai.com/blog/openai-gpt-oss-benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP value 90.0 from clarifai blog matches gpt-oss-120b MMLU=90.0 in Table 3 \u2014 clarifai mislabeled MMLU as MMLU-Pro. Table 3 does not report MMLU-Pro for gpt-oss. Ghost cell per R5g(b).", "candidates": [ { "score": 80.7, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-120b", "benchmark_id": "codeforces_rating", "score": 2622, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): Codeforces with-tools high 2622 (was 2620). [R5d: prior unverified value 2620 from https://smythos.com/developers/ai-models/openai-gpt-oss-120b-and-20b/ deleted.]" }, { "model_id": "gpt-oss-120b", "benchmark_id": "tau_bench_retail", "score": 67.8, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): Tau-Bench Retail with-tools 67.8" }, { "model_id": "gpt-oss-120b", "benchmark_id": "mmlu", "score": 90.0, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): MMLU 90.0" }, { "model_id": "gpt-oss-120b", "benchmark_id": "swe_bench_verified", "score": 62.4, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): SWE-Bench Verified 62.4" }, { "model_id": "gpt-oss-120b", "benchmark_id": "aime_2024", "score": 96.6, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): AIME 2024 with-tools 96.6" }, { "model_id": "gpt-oss-120b", "benchmark_id": "humaneval", "score": 92.0, "reference_url": "https://arxiv.org/abs/2508.10925", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no humaneval evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-120b", "benchmark_id": "ifeval", "score": 88.0, "reference_url": "https://arxiv.org/abs/2508.10925", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no ifeval evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-120b", "benchmark_id": "livecodebench", "score": 75.0, "reference_url": "https://arxiv.org/abs/2508.10925", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no livecodebench evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-120b", "benchmark_id": "math_500", "score": 98.0, "reference_url": "https://www.clarifai.com/blog/openai-gpt-oss-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-oss-120b", "benchmark_id": "terminal_bench", "score": 18.7, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 18.7% on tbench.ai Terminal-Bench 2.0 leaderboard (Terminus 2 scaffold, 2025-11-01)." }, { "model_id": "gpt-oss-20b", "benchmark_id": "aime_2025", "score": 98.7, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): AIME 2025 with-tools 98.7", "candidates": [ { "score": 98.7, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 20B High, slug=gpt-oss-20b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-20b", "benchmark_id": "gpqa_diamond", "score": 71.5, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): GPQA Diamond no-tools 71.5", "candidates": [ { "score": 74.2, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 20B High, slug=gpt-oss-20b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-20b", "benchmark_id": "mmlu_pro", "score": 85.3, "reference_url": "https://www.clarifai.com/blog/openai-gpt-oss-benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP value 85.3 from clarifai blog matches gpt-oss-20b MMLU=85.3 in Table 3 \u2014 clarifai mislabeled MMLU as MMLU-Pro. Ghost cell per R5g(b)." }, { "model_id": "gpt-oss-20b", "benchmark_id": "mmlu", "score": 85.3, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): MMLU 85.3" }, { "model_id": "gpt-oss-20b", "benchmark_id": "ifeval", "score": 85.0, "reference_url": "https://arxiv.org/abs/2508.10925", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no ifeval evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-20b", "benchmark_id": "livecodebench", "score": 70.0, "reference_url": "https://arxiv.org/abs/2508.10925", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no livecodebench evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-20b", "benchmark_id": "math_500", "score": 97.0, "reference_url": "https://www.clarifai.com/blog/openai-gpt-oss-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-oss-20b", "benchmark_id": "terminal_bench", "score": 3.1, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 3.1% on tbench.ai Terminal-Bench 2.0 leaderboard (Terminus 2 scaffold, 2025-11-01)." }, { "model_id": "gpt-oss-20b", "benchmark_id": "aime_2024", "score": 96.0, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): AIME 2024 with-tools 96.0 (was 98.7 from llm-stats \u2014 wrong, that was AIME 2025 score). [R5d: prior unverified value 98.7 from https://llm-stats.com/models/compare/gpt-oss-120b-vs-gpt-oss-20b deleted.]" }, { "model_id": "gpt-oss-20b", "benchmark_id": "codeforces_rating", "score": 2516, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): Codeforces with-tools high 2516 (was 1985 \u2014 likely no-tools or low effort). [R5d: prior unverified value 1985 from https://arxiv.org/html/2508.10925v1 deleted.]" }, { "model_id": "gpt-oss-20b", "benchmark_id": "humaneval", "score": 85, "reference_url": "https://arxiv.org/html/2508.10925v1", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2508.10925 (gpt-oss model card) has no humaneval evaluation. Paper covers MMLU/SWE-Bench/Tau-Bench/HLE/HealthBench/MMMLU.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:12:50Z" }, { "model_id": "gpt-oss-20b", "benchmark_id": "swe_bench_verified", "score": 60.7, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): SWE-Bench Verified with-tools high 60.7 (was 52 from clarifai \u2014 likely medium effort). [R5d: prior unverified value 52 from https://www.clarifai.com/blog/openai-gpt-oss-benchmarks-how-it-compares-to-glm-4.5-qwen3-deepseek-and-kimi-k2 deleted.]" }, { "model_id": "gpt-5.1", "benchmark_id": "aime_2025", "score": 94.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 99.6, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 High, slug=gpt-5.1-high-2025-11-12, provider=OpenAI" }, { "score": 98.4, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "medium" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Medium, slug=gpt-5.1-medium-2025-11-12, provider=OpenAI" }, { "score": 94.0, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" }, { "score": 94.0, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 94.0." }, { "model_id": "gpt-5.1", "benchmark_id": "gpqa_diamond", "score": 88.1, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 High, slug=gpt-5.1-high-2025-11-12, provider=OpenAI" }, { "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" }, { "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 88.1." }, { "model_id": "gpt-5.1", "benchmark_id": "frontiermath", "score": 31.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 26.7, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "source_type": "official_blog", "notes": "gpt-5.1 blog says FrontierMath w/ Python = 26.7%. Primary=31.0 from gpt-5.2 blog (Tier 1-3 w/ Python). Possible scope difference." }, { "score": 26.7, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" }, { "score": 26.7, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 31.0." }, { "model_id": "gpt-5.1", "benchmark_id": "arc_agi_2", "score": 17.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 17.6." }, { "model_id": "gpt-5.1", "benchmark_id": "swe_bench_verified", "score": 76.3, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 76.3, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" }, { "score": 76.3, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 76.3." }, { "model_id": "gpt-5.1", "benchmark_id": "aa_lcr", "score": 75.0, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA LCR eval page: gpt-5-1 lcr=0.750 \u2192 75.0%. AA slug: gpt-5-1.", "reported_setting": { "mode": "thinking", "effort": "default", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "Per AA evaluations/artificial-analysis-long-context-reasoning: gpt-5-1 lcr=75.0%" } }, { "model_id": "gpt-5.1", "benchmark_id": "chatbot_arena_elo", "score": 1439, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: gpt-5.1 (rank 52). ELO updates continuously; score reflects latest available." }, { "model_id": "gpt-5.1", "benchmark_id": "mmmu_pro", "score": 85.4, "reference_url": "https://www.vellum.ai/blog/gpt-5-2-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.1", "benchmark_id": "browsecomp", "score": 50.8, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 60.0, "reference_url": "https://www.vellum.ai/blog/gpt-5-2-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "previous primary (demoted: superseded by GPT-5.2 own blog)" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 50.8." }, { "model_id": "gpt-5.1", "benchmark_id": "hle", "score": 25.7, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 32.0, "reference_url": "https://www.vellum.ai/blog/flagship-model-report", "source_type": "third_party", "reported_setting": {}, "notes": "previous primary (demoted: superseded by GPT-5.2 own blog)" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 25.7." }, { "model_id": "gpt-5.1", "benchmark_id": "livecodebench", "score": 82.0, "reference_url": "https://www.vellum.ai/blog/flagship-model-report", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.1", "benchmark_id": "math_500", "score": 99.0, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "needs_review", "notes": "Reference URL is AA math-500 eval page, but gpt-5-1 (gpt-5.1) is NOT present on that page; AA shows math_500=null for this model. Possible ghost score (R5g-a). Cannot verify 99.0% from AA source." }, { "model_id": "gpt-5.1", "benchmark_id": "matharena_apex_2025", "score": 1.04, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.1", "benchmark_id": "mmlu", "score": 90.0, "reference_url": "https://www.vellum.ai/blog/gpt-5-2-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.1", "benchmark_id": "mmmu", "score": 85.4, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "candidates": [ { "score": 84.2, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "source_type": "third_party", "reported_setting": {}, "notes": " (demoted by 5.1 dev blog)" }, { "score": 85.4, "reference_url": "https://llm-stats.com/benchmarks/mmmu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" }, { "score": 85.4, "reference_url": "https://llm-stats.com/benchmarks/mmmu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog: 85.4 (high reasoning effort)." }, { "model_id": "gpt-5.1", "benchmark_id": "simpleqa", "score": 55.0, "reference_url": "https://www.vellum.ai/blog/gpt-5-2-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.1", "benchmark_id": "swe_bench_pro", "score": 50.8, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 45.0, "reference_url": "https://www.vellum.ai/blog/flagship-model-report", "source_type": "third_party", "reported_setting": {}, "notes": "previous primary (demoted: superseded by GPT-5.2 own blog)" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 50.8." }, { "model_id": "gpt-5.1", "benchmark_id": "terminal_bench", "score": 47.6, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: gpt-5.1=47.6." }, { "model_id": "gpt-5.1", "benchmark_id": "arc_agi_1", "score": 72.8, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 72.8." }, { "model_id": "gpt-5.1", "benchmark_id": "brumo_2025", "score": 93.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.1", "benchmark_id": "cmimc_2025", "score": 91.88, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.1", "benchmark_id": "hmmt_nov_2025", "score": 91.67, "reference_url": "https://matharena.ai/?comp=hmmt--hmmt_nov_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.1", "benchmark_id": "mmlu_pro", "score": 87.0, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: gpt-5.1=87.0." }, { "model_id": "gpt-5.1", "benchmark_id": "smt_2025", "score": 91.04, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.2", "benchmark_id": "aime_2025", "score": 100.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 100.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 100%" }, { "score": 98.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gpt-5.2=98.0." }, { "score": 99.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=99.0." }, { "score": 100.0, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 100.0 (xhigh reasoning effort)." }, { "model_id": "gpt-5.2", "benchmark_id": "gpqa_diamond", "score": 92.4, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 93.7, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party)." }, { "score": 92.4, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: GPQA Diamond no tools 92.4% (Thinking xhigh)" }, { "score": 92.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 92.4%" }, { "score": 90.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gpt-5.2=90.0." }, { "score": 93.2, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 92.4 (xhigh reasoning effort)." }, { "model_id": "gpt-5.2", "benchmark_id": "frontiermath", "score": 40.3, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 40.3 (xhigh reasoning effort).", "candidates": [ { "score": 40.7, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.4 blog table: 40.7. (demoted: superseded by GPT-5.2 own blog)" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "swe_bench_verified", "score": 80.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 77.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party, Codex-Max)." }, { "score": 80.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: SWE-Bench Verified single attempt 80.0%" }, { "score": 80.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 80.0%" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 80.0 (xhigh reasoning effort)." }, { "model_id": "gpt-5.2", "benchmark_id": "swe_bench_pro", "score": 55.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 55.6 (xhigh reasoning effort).", "candidates": [ { "score": 55.6, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.3-Codex blog: 55.6 (xhigh reasoning effort)." }, { "score": 55.6, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: SWE-Bench Pro single attempt 55.6%" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "arc_agi_2", "score": 52.9, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 52.9 (xhigh reasoning effort).", "candidates": [ { "score": 52.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: ARC-AGI-2 ARC Prize Verified 52.9% (Thinking xhigh)" }, { "score": 52.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 52.9%" }, { "score": 57.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=57.5." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "browsecomp", "score": 65.8, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 65.8 (xhigh reasoning effort).", "candidates": [ { "score": 65.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: BrowseComp Search+Python+Browse 65.8%" }, { "score": 77.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=77.9." }, { "score": 77.9, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "critpt", "score": 11.6, "reference_url": "https://artificialanalysis.ai/evaluations/critpt", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA CritPT eval page: gpt-5-2 critpt=0.116 \u2192 11.6%. AA slug: gpt-5-2.", "reported_setting": { "mode": "thinking", "effort": "xhigh (AA default for gpt-5-2)", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "Per AA evaluations/critpt: gpt-5-2 critpt=11.6%" } }, { "model_id": "gpt-5.2", "benchmark_id": "scicode", "score": 52.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "candidates": [ { "score": 52.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gpt-5.2=52.1." }, { "score": 49.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=49.7." } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "source_type": "official_blog", "audit_status": "verified", "matches_canonical": true, "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 54.6 from https://artificialanalysis.ai/evaluations/scicode deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: SciCode 52%" }, { "model_id": "gpt-5.2", "benchmark_id": "aa_lcr", "score": 72.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=72.3.", "candidates": [ { "score": 72.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 72.7 (3rd-party Qwen self-test)." }, { "score": 73.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gpt-5.2=73.0." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "tau_bench_telecom", "score": 98.7, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5-2/ blog reports \u03c4\u00b2-bench Telecom (98.7%), not original \u03c4-bench. \u03c4\u00b2-bench data already in tau2_bench_telecom (verified). Drop." }, { "model_id": "gpt-5.2", "benchmark_id": "mmmu_pro", "score": 79.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "candidates": [ { "score": 84.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party)." }, { "score": 79.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMU-Pro no tools 79.5%" }, { "score": 79.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 79.5%" } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 79.5 (xhigh reasoning effort)." }, { "model_id": "gpt-5.2", "benchmark_id": "simpleqa", "score": 58.0, "reference_url": "https://llm-stats.com/models/gpt-5.2-2025-12-11", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.2", "benchmark_id": "ifeval", "score": 94.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifeval 94.8 (3rd-party Qwen self-test). [R5d: prior unverified value 95.0 from https://llm-stats.com/models/gpt-5.2-2025-12-11 deleted.]" }, { "model_id": "gpt-5.2", "benchmark_id": "livecodebench", "score": 87.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): livecodebench 87.7 (3rd-party Qwen self-test). [R5d: prior unverified value 80.0 from https://llm-stats.com/models/gpt-5.2-2025-12-11 deleted.]" }, { "model_id": "gpt-5.2", "benchmark_id": "humaneval", "score": 95.0, "reference_url": "https://llm-stats.com/models/gpt-5.2-2025-12-11", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.2", "benchmark_id": "mmlu", "score": 88.0, "reference_url": "https://llm-stats.com/models/gpt-5.2-2025-12-11", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.2", "benchmark_id": "math_500", "score": 99.4, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "needs_review", "notes": "Reference URL is AA math-500 eval page, but gpt-5-2 (gpt-5.2) is NOT present on that page; AA shows math_500=null for this model. Possible ghost score (R5g-a). Cannot verify 99.4% from AA source." }, { "model_id": "gpt-5.2", "benchmark_id": "mrcr_v2", "score": 83.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "candidates": [ { "score": 81.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 81.9%" } ], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "source_type": "official_blog", "audit_status": "verified", "matches_canonical": true, "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 70.0 from https://www.datacamp.com/blog/gpt-5-2 deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: MRCR v2 8-needle 128k average 83.8%" }, { "model_id": "gpt-5.2", "benchmark_id": "osworld", "score": 47.3, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 47.3.", "candidates": [ { "score": 37.9, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.3-Codex blog: 37.9 (xhigh reasoning effort)." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "hle", "score": 34.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 34.5 (xhigh reasoning effort).", "candidates": [ { "score": 34.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE no tools 34.5% (Thinking xhigh)" }, { "score": 45.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE Search+Code 45.5% (Thinking xhigh)" }, { "score": 34.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 34.5% (GPT-5.2 Extra high)" }, { "score": 45.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: HLE Search+Code 45.5%" }, { "score": 35.4, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gpt-5.2=35.4." }, { "score": 35.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 35.5 (3rd-party Qwen self-test)." }, { "score": 31.4, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gpt-5.2=31.4." }, { "score": 29.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=29.9." }, { "score": 36.6, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "mmmu", "score": 86.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 86.7 (matches prior unverified value, re-sourced to HF Qwen3.5 card).", "candidates": [ { "score": 83.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=83.7." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "chatbot_arena_elo", "score": 1438, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: gpt-5.2 (rank 54). ELO updates continuously; score reflects latest available." }, { "model_id": "gpt-5.2", "benchmark_id": "aa_intelligence_index", "score": 70.0, "reference_url": "https://x.com/ArtificialAnlys/status/1943166841150644622", "audit_status": "needs_review", "audit_note": "Source is a Twitter/X post (x.com/ArtificialAnlys/status/1943166841150644622); requires browser to verify tweet content. Value 70.0 not verified via automated fetch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "gpt-5.2", "benchmark_id": "arc_agi_1", "score": 86.2, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 86.2 (xhigh reasoning effort).", "candidates": [ { "score": 89.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=89.9." }, { "score": 90.5, "reference_url": "https://llm-stats.com/benchmarks/arc-agi", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "codeforces_rating", "score": 3148, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=3148." }, { "model_id": "gpt-5.2", "benchmark_id": "mmlu_pro", "score": 86.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=86.7.", "candidates": [ { "score": 87.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 87.4 (3rd-party Qwen self-test)." }, { "score": 85.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=85.9." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "tau_bench_retail", "score": 88.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5-2/ blog reports \u03c4\u00b2-bench Retail (82.0%), not original \u03c4-bench. \u03c4\u00b2-bench data in tau2_bench_retail (verified). Cell value 88.0 also mismatches blog value 82.0. Drop." }, { "model_id": "gpt-5.2", "benchmark_id": "terminal_bench", "score": 62.2, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "candidates": [ { "score": 53.5, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party)." }, { "score": 62.2, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.3-Codex blog: 62.2 (xhigh reasoning effort)." }, { "score": 54.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Terminus-2 54.0%" }, { "score": 62.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Codex", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Codex (best self-reported) 62.2%" }, { "score": 54.0, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gpt-5.2=54.0." }, { "score": 54.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gpt-5.2=54.0." }, { "score": 54.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 54.0 (3rd-party Qwen self-test)." }, { "score": 62.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from terminal_bench_2) Doubao Seed 2.0 model card: gpt-5.2=62.4." } ], "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 62.2." }, { "model_id": "gpt-5.2", "benchmark_id": "aime_2024", "score": 100, "reference_url": "https://www.vellum.ai/blog/gpt-5-2-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.2", "benchmark_id": "brumo_2025", "score": 98.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": false, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.2", "benchmark_id": "cmimc_2025", "score": 91.25, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": false, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.2", "benchmark_id": "hmmt_nov_2025", "score": 97.1, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: gpt-5.2=97.1.", "candidates": [ { "score": 100.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 100.0 (3rd-party Qwen self-test)." }, { "score": 100.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=100.0." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "matharena_apex_2025", "score": 13.54, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": false, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard", "candidates": [ { "score": 18.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from apex) Doubao Seed 2.0 model card Table 3: gpt-5.2=18.2." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "smt_2025", "score": 91.98, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": false, "reported_setting": "reasoning_effort:high", "source_type": "leaderboard" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "swe_bench_pro", "score": 56.8, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 56.8 (xhigh reasoning effort).", "candidates": [ { "score": 56.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: SWE-Bench Pro single attempt 56.8%" } ] }, { "model_id": "gpt-5.3-codex", "benchmark_id": "osworld", "score": 64.7, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 64.7 (xhigh reasoning effort).", "candidates": [ { "score": 74.0, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.4 blog: 74.0. (was primary, demoted when 5.3-Codex own blog promoted to primary)" } ] }, { "model_id": "gpt-5.3-codex", "benchmark_id": "swe_bench_verified", "score": 56.8, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5-3-codex/ blog has no SWE-bench Verified data (only SWE-Bench Pro=56.8, which happens to match this value by coincidence). Drop." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "humaneval", "score": 93.0, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5-3-codex/ blog contains no HumanEval data. Drop." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "aime_2025", "score": 94.0, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "gpqa_diamond", "score": 92.6, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 92.6." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "gsm8k", "score": 99.0, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "livecodebench", "score": 85.0, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "audit_status": "dropped", "audit_notes": "R5g ghost cell: introducing-gpt-5-3-codex/ blog contains no LiveCodeBench data. Drop." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "math_500", "score": 96.0, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "mmlu", "score": 94.0, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "mmmu", "score": 84.0, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "terminal_bench", "score": 77.3, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 77.3 (xhigh reasoning effort).", "candidates": [ { "score": 64.7, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Terminus-2 64.7%" }, { "score": 77.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Codex", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Codex (best self-reported) 77.3%" } ] }, { "model_id": "gpt-5.3-codex", "benchmark_id": "ifeval", "score": 92, "reference_url": "https://automatio.ai/models/gpt-5-3-codex", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gpt-5.4", "benchmark_id": "swe_bench_pro", "score": 57.7, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 57.7." }, { "model_id": "gpt-5.4", "benchmark_id": "terminal_bench", "score": 75.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 75.1.", "candidates": [ { "score": 65.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: gpt-5.4=65.4." } ] }, { "model_id": "gpt-5.4", "benchmark_id": "mmmu_pro", "score": 81.2, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 81.2." }, { "model_id": "gpt-5.4", "benchmark_id": "browsecomp", "score": 82.7, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 82.7." }, { "model_id": "gpt-5.4", "benchmark_id": "frontiermath", "score": 47.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 47.6." }, { "model_id": "gpt-5.4", "benchmark_id": "gpqa_diamond", "score": 92.8, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 92.8.", "candidates": [ { "score": 93.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 93.0." }, { "score": 92.0, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gpt-5.4=92.0." } ] }, { "model_id": "gpt-5.4", "benchmark_id": "hle", "score": 39.8, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 39.8." }, { "model_id": "gpt-5.4", "benchmark_id": "arc_agi_1", "score": 93.7, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 93.7." }, { "model_id": "gpt-5.4", "benchmark_id": "arc_agi_2", "score": 73.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 73.3." }, { "model_id": "gpt-5.5", "benchmark_id": "swe_bench_pro", "score": 58.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 58.6." }, { "model_id": "gpt-5.5", "benchmark_id": "terminal_bench", "score": 82.7, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 82.7." }, { "model_id": "gpt-5.5", "benchmark_id": "mmmu_pro", "score": 81.2, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 81.2." }, { "model_id": "gpt-5.5", "benchmark_id": "browsecomp", "score": 84.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 84.4.", "candidates": [ { "score": 90.1, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" } ] }, { "model_id": "gpt-5.5", "benchmark_id": "frontiermath", "score": 51.7, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 51.7.", "candidates": [ { "score": 39.6, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" } ] }, { "model_id": "gpt-5.5", "benchmark_id": "gpqa_diamond", "score": 93.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 93.6." }, { "model_id": "gpt-5.5", "benchmark_id": "hle", "score": 41.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 41.4.", "candidates": [ { "score": 57.2, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" } ] }, { "model_id": "gpt-5.5", "benchmark_id": "arc_agi_1", "score": 95.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 95.0." }, { "model_id": "gpt-5.5", "benchmark_id": "arc_agi_2", "score": 85.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 85.0." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "gpqa_diamond", "score": 78.2, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table: Sonnet 3.7 = 78.2% (with extended thinking).", "candidates": [ { "score": 76.8, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): gpqa_diamond=76.8 (alt measurement, mc=false)" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "aime_2024", "score": 23.3, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": null, "tools": "none", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": 0.0 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, no extended thinking. 80.0% (extended w/ parallel test-time compute) excluded.", "candidates": [ { "score": 55.3, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): aime_2024=55.3 (alt measurement, mc=false)" }, { "score": 61.3, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "64K token budget", "tools": "none", "sampling": "pass@1 (avg 16 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog extended thinking (64K) column: AIME-2024=61.3% (pass@1); 80.0% parallel TTC" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "math_500", "score": 82.2, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": null, "tools": "none", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": 0.0 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, no extended thinking. 96.2% (extended) excluded.", "candidates": [ { "score": 96.2, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "64K token budget", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog extended thinking (64K) column: MATH-500=96.2%" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "swe_bench_verified", "score": 62.3, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table: Sonnet 3.7 = 62.3% / 70.3% w/ parallel." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "ifeval", "score": 90.8, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": null, "tools": "none", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": 0.0 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, no extended thinking. 93.2% (extended) excluded.", "candidates": [ { "score": 93.2, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "64K token budget", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog extended thinking (64K) column: IFEval=93.2%" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "humaneval", "score": 94.0, "reference_url": "https://www.datacamp.com/blog/claude-3-7-sonnet", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "livecodebench", "score": 52.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): livecodebench=52.6. [R5d: prior unverified value 65.0 from https://www.datacamp.com/blog/claude-3-7-sonnet deleted.]" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "tau_bench_retail", "score": 81.2, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "tau_bench_airline", "score": 58.4, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "tau_bench_telecom", "score": 49.0, "reference_url": "https://artificialanalysis.ai/models/claude-3-7-sonnet", "audit_status": "needs_review", "notes": "Reference URL is AA model page (claude-3-7-sonnet). AA only publishes aggregate tau2 score (no domain breakdown); AA shows claude-3-7-sonnet tau2=0.5 aggregate but no telecom-domain score. Cannot verify 49.0 from AA source." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "aime_2025", "score": 54.8, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table.", "candidates": [ { "score": 53.0, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): aime_2025=53.0 (alt measurement, mc=false)" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "frontiermath", "score": 3.1, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-3-7-sonnet-20250219 (no thinking budget) = 3.1%. Canonical notes state no extended thinking for FrontierMath. BP had 5.0 (unverified, sourced from unknown)." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "arc_agi_2", "score": 0.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude 3.7 (16K) on leaderboard" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "mmmu", "score": 75.0, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table (MMMU validation)." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "osworld", "score": 28.0, "reference_url": "https://llm-stats.com/benchmarks/osworld", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "chatbot_arena_elo", "score": 1372, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: claude-3-7-sonnet-20250219 (rank 138). ELO updates continuously; score reflects latest available." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "arena_hard", "score": 63.9, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "mmlu", "score": 89.0, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "audit_status": "dropped", "notes": "DROPPED: Blog shows MMMLU (not MMLU), no MMLU row in source; 89.0 not found anywhere in blog table" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "simpleqa", "score": 26.0, "reference_url": "https://artificialanalysis.ai/models/claude-3-7-sonnet", "audit_status": "needs_review", "notes": "Reference URL is AA model page (claude-3-7-sonnet). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "arc_agi_1", "score": 28.6, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude 3.7 (16K) on leaderboard" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "brumo_2025", "score": 65.83, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "extended_thinking", "source_type": "leaderboard" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "codeforces_rating", "score": 1640, "reference_url": "https://automatio.ai/models/claude-3-7-sonnet", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "mmlu_pro", "score": 78, "reference_url": "https://automatio.ai/models/claude-3-7-sonnet", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "mmmlu", "score": 85.9, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table.", "candidates": [ { "score": 86.1, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "64K token budget", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog extended thinking (64K) col: MMMLU=86.1%; no-thinking=83.2%" } ] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "smt_2025", "score": 56.6, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "extended_thinking", "source_type": "leaderboard" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "swe_bench_pro", "score": 25.6, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "audit_status": "dropped", "notes": "DROPPED: SWE-bench Pro not in blog table; only SWE-bench Verified is shown. Value 25.6 not in source." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "terminal_bench_1", "score": 35.2, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 35.2% on tbench.ai Terminal-Bench 1.0 leaderboard (Claude Code (Anthropic) scaffold, 2025-05-16)." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "usamo_2025", "score": 3.65, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "extended_thinking", "source_type": "leaderboard" }, { "model_id": "claude-sonnet-4", "benchmark_id": "gpqa_diamond", "score": 75.4, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 75.4% single-pass / 83.8% w/ parallel.", "candidates": [ { "score": 78, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4=78." } ] }, { "model_id": "claude-sonnet-4", "benchmark_id": "swe_bench_verified", "score": 72.7, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 72.7% single-pass / 80.2% w/ parallel." }, { "model_id": "claude-sonnet-4", "benchmark_id": "mmlu", "score": 86.5, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau_bench_retail", "score": 80.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. Prompt addendum + max steps 100." }, { "model_id": "claude-sonnet-4", "benchmark_id": "aime_2025", "score": 70.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 70.5% single-pass / 85.0% w/ parallel. nucleus sampling top_p=0.95.", "candidates": [ { "score": 74, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4=74." } ] }, { "model_id": "claude-sonnet-4", "benchmark_id": "mmmu", "score": 74.4, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table (MMMU validation)." }, { "model_id": "claude-sonnet-4", "benchmark_id": "swe_bench_pro", "score": 42.7, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "notes": " [Verified against Scale.com SWE-Bench Pro Public leaderboard (2026-04-29): claude-4-Sonnet = 42.7. Scale uses standardized evaluation scaffolding.]" }, { "model_id": "claude-sonnet-4", "benchmark_id": "aime_2024", "score": 43.4, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "avg@64", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). AIME2024 Avg@64, non-thinking mode (Kimi team eval), 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "arena_hard", "score": 51.6, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1 (winrate)", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). Arena Hard v2.0 Hard Prompt winrate, non-thinking, 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "hle", "score": 5.8, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). HLE Text-Only Acc, non-thinking, 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "hmmt_feb_2025", "score": 15.9, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "avg@32", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). HMMT 2025 Avg@32, non-thinking, 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "humaneval", "score": 88.0, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-sonnet-4", "benchmark_id": "ifeval", "score": 87.6, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). IFEval Prompt Strict, non-thinking, 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "livecodebench", "score": 66, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=66." }, { "model_id": "claude-sonnet-4", "benchmark_id": "math_500", "score": 94.0, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). MATH-500 Acc, non-thinking mode (Kimi team eval), 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "mmlu_pro", "score": 84, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=84." }, { "model_id": "claude-sonnet-4", "benchmark_id": "simpleqa", "score": 15.9, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking, 8192 max output tokens." }, { "model_id": "claude-sonnet-4", "benchmark_id": "arc_agi_1", "score": 40, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude Sonnet 4 (Thinking 16K) on leaderboard" }, { "model_id": "claude-sonnet-4", "benchmark_id": "arc_agi_2", "score": 5.9, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude Sonnet 4 (Thinking 16K) on leaderboard" }, { "model_id": "claude-sonnet-4", "benchmark_id": "ifbench", "score": 55, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=55." }, { "model_id": "claude-sonnet-4", "benchmark_id": "osworld", "score": 42, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-sonnet-4", "benchmark_id": "terminal_bench", "score": 35.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 35.5% single-pass (Claude Code) / 41.3% w/ parallel. Same agent as non-Claude=33.5%.", "candidates": [ { "score": 36.4, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4=36.4." } ] }, { "model_id": "claude-sonnet-4", "benchmark_id": "terminal_bench_1", "score": 36.4, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 36.4% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 2 scaffold, 2025-08-05)." }, { "model_id": "claude-opus-4", "benchmark_id": "gpqa_diamond", "score": 79.6, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 79.6% single-pass / 83.3% w/ parallel test-time compute." }, { "model_id": "claude-opus-4", "benchmark_id": "swe_bench_verified", "score": 72.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 72.5% single-pass / 79.4% w/ parallel test-time compute. We record single-pass." }, { "model_id": "claude-opus-4", "benchmark_id": "mmlu", "score": 88.8, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-opus-4", "benchmark_id": "aime_2025", "score": 75.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 75.5% single-pass / 90.0% w/ parallel test-time compute. nucleus sampling top_p=0.95." }, { "model_id": "claude-opus-4", "benchmark_id": "tau_bench_retail", "score": 81.4, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. With extended thinking + tool use; prompt addendum to Retail Agent Policy; max steps 100." }, { "model_id": "claude-opus-4", "benchmark_id": "aime_2024", "score": 75.5, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-opus-4", "benchmark_id": "mmmu", "score": 76.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table (MMMU validation). With extended thinking up to 64K." }, { "model_id": "claude-opus-4", "benchmark_id": "arena_hard", "score": 59.7, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1 (winrate)", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). Arena Hard v2.0 Hard Prompt winrate, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "frontiermath", "score": 4.5, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-opus-4-20250514 (Claude Opus 4) = 4.5% (default thinking, no explicit budget). Canonical effort=default matches. BP had 10.0 (unverified)." }, { "model_id": "claude-opus-4", "benchmark_id": "hle", "score": 7.1, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). HLE Text-Only Acc, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "hmmt_feb_2025", "score": 15.9, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "avg@32", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). HMMT 2025 Avg@32, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "ifeval", "score": 89.7, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-235B card: Claude4 Opus Thinking IFEval=89.7. Matches claude-opus-4 (thinking mode).", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "claude-opus-4", "benchmark_id": "livecodebench", "score": 47.4, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). LiveCodeBench v6 (Aug 2024\u2013May 2025) Pass@1, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "math_500", "score": 94.4, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). MATH-500 Acc, non-thinking mode (Kimi team eval), 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "mmlu_pro", "score": 86.6, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1 (EM)", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). MMLU-Pro EM, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "simpleqa", "score": 22.8, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking, 8192 max output tokens." }, { "model_id": "claude-opus-4", "benchmark_id": "arc_agi_1", "score": 35.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude Opus 4 (Thinking 16K) on leaderboard" }, { "model_id": "claude-opus-4", "benchmark_id": "arc_agi_2", "score": 8.6, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "16K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude Opus 4 (Thinking 16K) on leaderboard" }, { "model_id": "claude-opus-4", "benchmark_id": "codeforces_rating", "score": 1886, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-opus-4", "benchmark_id": "critpt", "score": 0.3, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4", "benchmark_id": "osworld", "score": 38.2, "reference_url": "https://www.datacamp.com/blog/claude-4", "audit_status": "dropped", "notes": " [Dropped: DataCamp is a tutorial/learning platform aggregator, not primary source. Rule R5h-tutorial-blog.]" }, { "model_id": "claude-opus-4", "benchmark_id": "swe_bench_pro", "score": 35.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "anthropic.com/news/claude-opus-4-1 mentions SWE-bench Verified=74.5% only; swe_bench_pro metric (35.8) not in source.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "claude-opus-4", "benchmark_id": "terminal_bench", "score": 43.2, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table: 43.2% single-pass (Claude Code agent) / 50.0% w/ parallel. Same agent as non-Claude=39.2%." }, { "model_id": "claude-opus-4", "benchmark_id": "terminal_bench_1", "score": 39, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 39.0% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 2 scaffold, 2025-08-05). score=39.0" }, { "model_id": "claude-opus-4.1", "benchmark_id": "swe_bench_verified", "score": 74.5, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table: 74.5%, single-pass." }, { "model_id": "claude-opus-4.1", "benchmark_id": "gpqa_diamond", "score": 80.9, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table: 80.9% (with extended thinking)." }, { "model_id": "claude-opus-4.1", "benchmark_id": "mmlu", "score": 88.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. R5g(c): value not found in source text." }, { "model_id": "claude-opus-4.1", "benchmark_id": "mmlu_pro", "score": 87.92, "reference_url": "https://artificialanalysis.ai/evaluations/mmlu-pro", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Reference URL is AA mmlu-pro eval page. AA shows claude-4-1-opus-thinking mmlu_pro=0.88\u219288.0%, but BP has 87.92. Close but not exact match; AA may have rounded. Only thinking variant available on AA. Current AA value: 88.0%." }, { "model_id": "claude-opus-4.1", "benchmark_id": "swe_bench_pro", "score": 22.7, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed 22.7% from scale.com analysis text: \"Claude Opus 4.1 decreases from 22.7% to 17.8% resolution\"; historical public score." }, { "model_id": "claude-opus-4.1", "benchmark_id": "aime_2025", "score": 78.0, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table: 78.0%, with extended thinking, top_p=0.95." }, { "model_id": "claude-opus-4.1", "benchmark_id": "frontiermath", "score": 5.9, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-opus-4-1-20250805 (no explicit thinking budget) = 5.9%. Canonical effort=default matches. BP had 15.0.", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none" } }, { "model_id": "claude-opus-4.1", "benchmark_id": "osworld", "score": 44.4, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "notes": "FLAGGED cleared: OSWorld=44.4% confirmed in cross-model Table 2.3.A (p.19) of Opus 4.5 system card.", "rule_ids": [ "R3" ] }, { "model_id": "claude-opus-4.1", "benchmark_id": "terminal_bench", "score": 43.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus 1", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table: 43.3%, Terminus 1, avg 5 trials. Differs from Opus 4 (Claude Code framework=43.2).", "candidates": [ { "score": 38.0, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "source_type": "leaderboard", "notes": "tbench 2.0 Terminus 2 result; BP primary (43.3%) from Anthropic blog differs." } ] }, { "model_id": "claude-opus-4.1", "benchmark_id": "hle", "score": 35, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "flagged", "notes": "Anthropic blog benchmark table is CDN PNG; cannot confirm or deny flag. Keeping flagged." }, { "model_id": "claude-opus-4.1", "benchmark_id": "humaneval", "score": 93, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "flagged", "notes": "Anthropic blog benchmark table is CDN PNG; cannot confirm or deny flag. Keeping flagged." }, { "model_id": "claude-opus-4.1", "benchmark_id": "livebench", "score": 61.4, "reference_url": "https://livebench.ai/", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): claude-4-1-opus-20250805-thinking-32k avg=61.4. Canonical thinking mode matches. BP had 54.5.", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "context": "32k thinking", "tools": "n/a" } }, { "model_id": "claude-opus-4.1", "benchmark_id": "livecodebench", "score": 63.2, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "flagged", "notes": "Anthropic blog benchmark table is CDN PNG; cannot confirm or deny flag. Keeping flagged." }, { "model_id": "claude-opus-4.1", "benchmark_id": "simpleqa", "score": 43.5, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "audit_status": "flagged", "notes": "Anthropic blog benchmark table is CDN PNG; cannot confirm or deny flag. Keeping flagged." }, { "model_id": "claude-opus-4.1", "benchmark_id": "terminal_bench_1", "score": 43.8, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed 43.8% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 2 scaffold, 2025-09-30)." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "swe_bench_verified", "score": 77.2, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "non-thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 77.2% (no thinking).", "candidates": [ { "score": 77.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 77.2%" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "gpqa_diamond", "score": 83.4, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 83.4%.", "candidates": [ { "score": 83.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 83.4%" }, { "score": 83.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-sonnet-4.5=83.0." }, { "score": 83, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=83." }, { "score": 84.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=84.3." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau_bench_retail", "score": 86.2, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "rule_ids": [ "R3" ], "notes": "Confirmed \u03c4\u00b2-Bench Retail=86.2% in cross-model Table 2.3.A (p.19) of Opus 4.5 system card." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau_bench_telecom", "score": 98.0, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "rule_ids": [ "R3" ], "notes": "Confirmed \u03c4\u00b2-Bench Telecom=98.0% in cross-model Table 2.3.A (p.19) of Opus 4.5 system card." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "osworld", "score": 61.4, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (browser/computer use)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "OSWorld official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 61.4%." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "livecodebench", "score": 64.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=64.0.", "candidates": [ { "score": 71, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=71." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "aime_2025", "score": 87.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 87.0% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 100.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 with code 100%" }, { "score": 88.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-sonnet-4.5=88.0." }, { "score": 88, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=88." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "https://www.getpassionfruit.com/blog/gpt-5-1-vs-claude-4-5-sonnet-vs-gemini-3-pro-vs-deepseek-v3-2-the-definitive-2025-ai-model-comparison", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (getpassionfruit.com); R5h priority. Not verifiable from official Anthropic source." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mmmu", "score": 77.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 77.8%." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mmmu_pro", "score": 63.4, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 63.4.", "candidates": [ { "score": 68.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 68.0%" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "swe_bench_pro", "score": 48.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: claude-sonnet-4.5=48.4." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mrcr_v2", "score": 47.1, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 47.1% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mmlu", "score": 86.5, "reference_url": "https://www.leanware.co/insights/claude-sonnet-4-5-overview", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (leanware.co); R5h priority. Official source has image-only table." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "codeforces_rating", "score": 1480, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=1480.", "candidates": [ { "score": 1485, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=1485." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "hle", "score": 17.7, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none (no-tools column)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 17.7.", "candidates": [ { "score": 13.7, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 13.7% (Claude Sonnet 4.5 Thinking)" }, { "score": 13.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=13.7." }, { "score": 13.7, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: claude-sonnet-4.5=13.7." }, { "score": 19.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: claude-sonnet-4.5=19.8." }, { "score": 17.3, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-sonnet-4.5=17.3." }, { "score": 14.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=14.5." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mmlu_pro", "score": 88.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=88.2.", "candidates": [ { "score": 87.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: claude-sonnet-4.5=87.5." }, { "score": 88, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=88." }, { "score": 88.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=88.0." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "terminal_bench", "score": 50.0, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 50.0%, Terminus-2 harness.", "candidates": [ { "score": 51.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Sonnet 4.6 blog reports 51.0 (vs primary verified=50.0 from Opus 4.5 blog)." }, { "score": 42.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Terminal-Bench 2.0 Terminus-2 42.8%" }, { "score": 42.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=42.8." }, { "score": 42.8, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: claude-sonnet-4.5=42.8." }, { "score": 45.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from terminal_bench_2) Doubao Seed 2.0 model card: claude-sonnet-4.5=45.2." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "aime_2024", "score": 88, "reference_url": "https://www.leanware.co/insights/claude-sonnet-4-5-overview", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (leanware.co); R5h priority." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "arc_agi_1", "score": 70.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=70.9." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "arc_agi_2", "score": 13.6, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 13.6%.", "candidates": [ { "score": 13.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 13.6%" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "brumo_2025", "score": 90.83, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed brumo_2025=90.83% on matharena.ai model page." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "cmimc_2025", "score": 66.88, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed cmimc_2025=66.88% on matharena.ai model page." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "ifeval", "score": 88.5, "reference_url": "https://www.leanware.co/insights/claude-sonnet-4-5-overview", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (leanware.co); R5h priority." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "livebench", "score": 67.9, "reference_url": "https://livebench.ai/", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): claude-sonnet-4-5-20250929-thinking-64k avg=67.9. Canonical thinking+high effort matches. BP had 53.7.", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "context": "64k thinking", "tools": "n/a" } }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "math_500", "score": 95.8, "reference_url": "https://www.leanware.co/insights/claude-sonnet-4-5-overview", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (leanware.co); R5h priority." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "matharena_apex_2025", "score": 1.56, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed matharena_apex_2025=1.56% on matharena.ai model page.", "candidates": [ { "score": 1.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from apex) Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=1.0." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "simpleqa", "score": 47, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-5-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "smt_2025", "score": 83.96, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed smt_2025=83.96% on matharena.ai model page." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "terminal_bench_1", "score": 51, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed 51.0% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 2 scaffold, 2025-10-31)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "mmmlu", "score": 83.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "none" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, avg 10 runs over 14 non-English languages, 128K thinking budget." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "mmmu", "score": 73.2, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "none" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog (MMMU validation), 128K thinking, avg 10 runs." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "swe_bench_verified", "score": 73.3, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "agentic (bash + file editing)" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, full 500 instances, avg 50 trials, 128K thinking, default sampling. NOTE: Anthropic added prompt addendum (\"use tools 100+ times, implement own tests first\") \u2014 deviates from default prompt \u2192 matches_canonical=false." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "gpqa_diamond", "score": 73.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "none" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, 128K thinking, avg over 10 runs. Prior BP value 80.9 not found on blog (corrected)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "aime_2025", "score": 96.3, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "python interpreter" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, with python tool, avg 10 runs of pass@1 over 16 trials, 128K thinking. Blog also reports 80.7% no-tools (canonical-matching). Updated source from airank.dev to Anthropic primary." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "osworld", "score": 50.7, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "agentic (OSWorld-Verified, 100 max steps)" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, official OSWorld-Verified framework, avg 4 runs, 128K total + 2K per-step thinking budget." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "swe_bench_pro", "score": 39.45, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "audit_status": "verified", "rule_ids": [ "R4" ], "notes": "Confirmed 39.45% on scale.com SWE-bench Pro Public leaderboard (current live entry)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "terminal_bench", "score": 41.0, "reference_url": "https://www.anthropic.com/news/claude-haiku-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking budget", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default", "temperature": "default", "tools": "agentic (Terminus 2 default scaffold)" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic blog, Terminus 2 default agent, avg 11 runs (6 no-thinking 40.21%, 5 with 32K thinking 41.75%). Replaces prior tbench.ai leaderboard value 28.3." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "arc_agi_1", "score": 47.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "arcprize.org leaderboard audit: Claude Haiku 4.5 (Thinking 32K) on leaderboard; canonical is 128K", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "32K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" } }, { "model_id": "claude-haiku-4.5", "benchmark_id": "arc_agi_2", "score": 4, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "arcprize.org leaderboard audit: Claude Haiku 4.5 (Thinking 32K) on leaderboard; canonical is 128K", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "32K thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" } }, { "model_id": "claude-haiku-4.5", "benchmark_id": "humaneval", "score": 91.5, "reference_url": "https://www.anthropic.com/claude/haiku", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic claude/haiku model page benchmark table is CDN PNG image; cannot extract text value. R5g(c)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "ifeval", "score": 85, "reference_url": "https://www.anthropic.com/claude/haiku", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic claude/haiku model page benchmark table is CDN PNG image; cannot extract text value. R5g(c)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "livebench", "score": 61.0, "reference_url": "https://livebench.ai/", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): claude-haiku-4-5-20251001-thinking-64k avg=61.0. Canonical requires 128K thinking budget but livebench only has 64k variant; used 64k as best available. BP had 45.3.", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "n/a", "context": "64k thinking", "tools": "n/a" } }, { "model_id": "claude-haiku-4.5", "benchmark_id": "livecodebench", "score": 52, "reference_url": "https://artificialanalysis.ai/models/claude-4-5-haiku", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "AA model page (claude-4-5-haiku): non-reasoning variant livecodebench=0.511\u219251.1%; reasoning variant=0.615\u219261.5%. BP has 52, which matches neither. BP canonical is thinking mode but neither AA variant shows 52. Current AA (non-reasoning): 51.1%, (reasoning): 61.5%." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "math_500", "score": 90.2, "reference_url": "https://www.anthropic.com/claude/haiku", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic claude/haiku model page benchmark table is CDN PNG image; cannot extract text value. R5g(c)." }, { "model_id": "claude-haiku-4.5", "benchmark_id": "mmlu_pro", "score": 75, "reference_url": "https://artificialanalysis.ai/models/claude-4-5-haiku", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Reference URL is AA model page (claude-4-5-haiku). Current AA data: claude-4-5-haiku (non-reasoning) mmlu_pro=0.80\u219280.0%; claude-4-5-haiku-reasoning mmlu_pro=0.76\u219276.0%. BP has 75 which matches neither variant. Current AA (non-reasoning): 80.0%, (reasoning): 76.0%." }, { "model_id": "claude-opus-4.5", "benchmark_id": "swe_bench_verified", "score": 80.9, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "non-thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 80.9% (no thinking). avg 5 trials." }, { "model_id": "claude-opus-4.5", "benchmark_id": "gpqa_diamond", "score": 87.0, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 87.0% (with extended thinking 64K).", "candidates": [ { "score": 86.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=86.9." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmlu", "score": 90.8, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "rule_ids": [ "R3" ], "notes": "MMMLU=90.77 in Table 2.3.A (p.19) of Opus 4.5 system card; rounds to 90.8 as reported." }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmlu_pro", "score": 89.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=89.3.", "candidates": [ { "score": 89.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 89.5 (3rd-party Qwen self-test)." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "osworld", "score": 66.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (browser/computer use)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "OSWorld official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 66.3% (computer use)." }, { "model_id": "claude-opus-4.5", "benchmark_id": "arc_agi_2", "score": 37.6, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 37.6% (Verified, novel problem solving).", "candidates": [ { "score": 29.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=29.1." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "browsecomp", "score": 67.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "non-thinking", "effort": "max", "tools": "agentic (web search + fetch + programmatic tool calling, context compaction at 50k up to 10M)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 67.8.", "candidates": [ { "score": 37.0, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: claude-opus-4.5=37.0." }, { "score": 37.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: claude-opus-4.5=37.0." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "frontiermath", "score": 20.7, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-opus-4-5-20251101_32K (32k thinking) = 20.7%. Canonical requires 64K thinking budget but epoch only has 16k (20.3%) and 32k (20.7%); used 32k as closest. BP had 21.0 (likely rounded from 20.7).", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "context": "32k thinking" } }, { "model_id": "claude-opus-4.5", "benchmark_id": "hle", "score": 30.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none (no-tools column)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 30.8.", "candidates": [ { "score": 28.4, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: claude-opus-4.5=28.4." }, { "score": 28.4, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-opus-4.5=28.4." }, { "score": 23.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=23.7." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "tau_bench_telecom", "score": 98.2, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "rule_ids": [ "R3" ], "notes": "Confirmed \u03c4\u00b2-Bench Telecom=98.2% in Table 2.3.A (p.19) of Opus 4.5 system card." }, { "model_id": "claude-opus-4.5", "benchmark_id": "tau_bench_retail", "score": 88.9, "reference_url": "https://assets.anthropic.com/m/64823ba7485345a7/Claude-Opus-4-5-System-Card.pdf", "audit_status": "verified", "rule_ids": [ "R3" ], "notes": "Confirmed \u03c4\u00b2-Bench Retail=88.9% in Table 2.3.A (p.19) of Opus 4.5 system card." }, { "model_id": "claude-opus-4.5", "benchmark_id": "swe_bench_pro", "score": 55.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=55.4." }, { "model_id": "claude-opus-4.5", "benchmark_id": "aime_2025", "score": 92.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=92.8.", "candidates": [ { "score": 91.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-opus-4.5=91.0." }, { "score": 91.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=91.3." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "simpleqa", "score": 72.0, "reference_url": "https://artificialanalysis.ai/articles/claude-opus-4-5-benchmarks-and-analysis", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Reference URL is AA article page (claude-opus-4-5-benchmarks-and-analysis). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification." }, { "model_id": "claude-opus-4.5", "benchmark_id": "chatbot_arena_elo", "score": 1469, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: claude-opus-4-5-20251101 (rank 19). ELO updates continuously; score reflects latest available.", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmmu", "score": 80.7, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 80.7% (validation, with extended thinking).", "candidates": [ { "score": 81.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: claude-opus-4.5=81.6." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "math_500", "score": 85.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-5-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.5", "benchmark_id": "ifeval", "score": 90.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifeval 90.9 (3rd-party Qwen self-test). [R5d: prior unverified value 90.0 from https://www.vellum.ai/blog/claude-opus-4-5-benchmarks deleted.]" }, { "model_id": "claude-opus-4.5", "benchmark_id": "livecodebench", "score": 84.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): livecodebench 84.8 (3rd-party Qwen self-test). [R5d: prior unverified value 68.0 from https://www.anthropic.com/news/claude-opus-4-5 deleted.]" }, { "model_id": "claude-opus-4.5", "benchmark_id": "video_mmmu", "score": 84.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=84.4." }, { "model_id": "claude-opus-4.5", "benchmark_id": "aa_lcr", "score": 71.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=71.3.", "candidates": [ { "score": 74.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 74.0 (3rd-party Qwen self-test)." }, { "score": 74.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-opus-4.5=74.0." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "terminal_bench", "score": 59.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "128K thinking", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "interleaved scratchpads", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 59.3%, Terminus-2 harness, 128K thinking, avg 5 trials.", "candidates": [ { "score": 59.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Sonnet 4.6 blog reports 59.8 (vs primary verified=59.3 from Opus 4.5 blog)." }, { "score": 60.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from terminal_bench_2) Doubao Seed 2.0 model card: claude-opus-4.5=60.2." }, { "score": 57.8, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "source_type": "leaderboard", "notes": "tbench 2.0 Terminus 2 result; BP primary (59.3%) from Anthropic blog slightly differs." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "aime_2024", "score": 90, "reference_url": "https://artificialanalysis.ai/articles/claude-opus-4-5-benchmarks-and-analysis", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Reference URL is AA article page. Current AA data: claude-4-opus-thinking (reasoning) aime=0.757\u219275.7%; claude-4-opus (non-thinking) aime=0.563\u219256.3%. BP has 90 which matches neither. 90% may be Anthropic lab-claimed value mistakenly attributed to AA. Current AA (thinking): 75.7%." }, { "model_id": "claude-opus-4.5", "benchmark_id": "arc_agi_1", "score": 84.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=84.0." }, { "model_id": "claude-opus-4.5", "benchmark_id": "codeforces_rating", "score": 1701, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=1701." }, { "model_id": "claude-opus-4.5", "benchmark_id": "humaneval", "score": 95.1, "reference_url": "https://artificialanalysis.ai/articles/claude-opus-4-5-benchmarks-and-analysis", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Reference URL is AA article page. Current AA data: claude-4-opus (non-thinking) humaneval=0.970\u219297.0%, claude-4-opus-thinking=N/A. BP has 95.1% which does not match AA current value (97.0%). Possible stale/different evaluation config." }, { "model_id": "claude-opus-4.5", "benchmark_id": "livebench", "score": 76.0, "reference_url": "https://livebench.ai/", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): claude-opus-4-5-20251101-thinking-64k-high-effort avg=76.0. EXACT MATCH with BP value 76. Canonical thinking+high+64K matches.", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "context": "64k thinking", "tools": "n/a" } }, { "model_id": "claude-opus-4.5", "benchmark_id": "simplebench", "score": 62, "reference_url": "https://lmcouncil.ai/benchmarks", "audit_status": "dropped", "rule_ids": [ "R5g_c" ], "notes": "lmcouncil.ai scores are JS-rendered; could not extract value. R5g(c). DROPPED (R5h): random third-party blog/aggregator, no primary trail | DROPPED (R5g-c stale, never verified, source not audited in any pass)", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "gpqa_diamond", "score": 91.3, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 91.3%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 91.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: GPQA Diamond no tools 91.3% (Thinking Max)" }, { "score": 90.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-opus-4.6=90.0." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "swe_bench_verified", "score": 80.8, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 80.8%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 80.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: SWE-Bench Verified single attempt 80.8%" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "aime_2025", "score": 95.6, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2.5 model card: claude-opus-4.6=95.6." }, { "model_id": "claude-opus-4.6", "benchmark_id": "mmlu_pro", "score": 89.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 89.1." }, { "model_id": "claude-opus-4.6", "benchmark_id": "osworld", "score": 72.7, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 72.7%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." }, { "model_id": "claude-opus-4.6", "benchmark_id": "arc_agi_2", "score": 68.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "120k thinking budget", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 68.8.", "candidates": [ { "score": 68.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: ARC-AGI-2 ARC Prize Verified 68.8% (Thinking Max)" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "browsecomp", "score": 83.7, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.6 = 83.7%.", "candidates": [ { "score": 84.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: BrowseComp Search+Python+Browse 84.0%" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "hle", "score": 40.0, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 40.0%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 40.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE no tools 40.0% (Thinking Max)" }, { "score": 53.1, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE Search+Code 53.1% (Thinking Max)" }, { "score": 36.7, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: claude-opus-4.6=36.7." }, { "score": 30.7, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: claude-opus-4.6=30.7." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "frontiermath", "score": 40.7, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-opus-4-6_max = 40.7% (adaptive thinking, max effort). Canonical effort=max matches. BP had 40.0 (matched 32k thinking variant, not max).", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none" } }, { "model_id": "claude-opus-4.6", "benchmark_id": "mrcr_v2", "score": 84.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "source_type": "official_blog", "audit_status": "verified", "matches_canonical": true, "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 93.0 from https://www.vellum.ai/blog/claude-opus-4-6-benchmarks deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: MRCR v2 8-needle 128k average 84.0%" }, { "model_id": "claude-opus-4.6", "benchmark_id": "simpleqa", "score": 72.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "ifeval", "score": 94.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "humaneval", "score": 95.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "livecodebench", "score": 88.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 88.8." }, { "model_id": "claude-opus-4.6", "benchmark_id": "tau_bench_retail", "score": 91.9, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "critpt", "score": 12.6, "reference_url": "https://artificialanalysis.ai/evaluations/critpt", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA CritPT eval page: claude-opus-4-6-adaptive critpt=0.126 \u2192 12.6%. AA adaptive = max-effort adaptive reasoning variant.", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "max (adaptive reasoning)", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "AA slug: claude-opus-4-6-adaptive; critpt=12.6%" } }, { "model_id": "claude-opus-4.6", "benchmark_id": "gdpval_aa_elo", "score": 1606, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 1606.", "candidates": [ { "score": 1619, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 1619." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "aa_intelligence_index", "score": 53, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index", "audit_status": "verified", "rule_ids": [ "R5g_d" ], "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA Intelligence Index: claude-opus-4-6-adaptive = 52.95 (displayed as 53). AA adaptive = max-effort adaptive reasoning variant.", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "max (adaptive reasoning)", "harness": "AA Intelligence Index composite", "notes": "AA slug: claude-opus-4-6-adaptive; II=52.95 rounds to 53" } }, { "model_id": "claude-opus-4.6", "benchmark_id": "mmmu", "score": 77.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "math_500", "score": 93.0, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "mmlu", "score": 90.8, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "chatbot_arena_elo", "score": 1496, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: claude-opus-4-6 (rank 3). ELO updates continuously; score reflects latest available.", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.6", "benchmark_id": "tau_bench_telecom", "score": 98.2, "reference_url": "https://www.anthropic.com/news/claude-opus-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. R5g(c). Note: Opus 4.5 system card shows tau_bench_telecom=98.2% for Opus 4.5; Opus 4.6 value is unverified." }, { "model_id": "claude-opus-4.6", "benchmark_id": "swe_bench_pro", "score": 53.4, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 53.4%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 57.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 57.3." }, { "score": 57.3, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: claude-opus-4.6=57.3." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "arc_agi_1", "score": 93.0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "arcprize.org leaderboard audit: Claude Opus 4.6 (120K, Max) on leaderboard", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "max (120K)", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" } }, { "model_id": "claude-opus-4.6", "benchmark_id": "codeforces_rating", "score": 2650, "reference_url": "https://www.vellum.ai/blog/claude-opus-4-6-benchmarks", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (vellum.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-opus-4.6", "benchmark_id": "mmmu_pro", "score": 73.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 73.9.", "candidates": [ { "score": 73.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMU-Pro no tools 73.9%" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "terminal_bench", "score": 65.4, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Harbor scaffold + Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 65.4%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 65.4, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Terminus-2 65.4%" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "simplebench", "score": 67.6, "reference_url": "https://lmcouncil.ai/benchmarks", "audit_status": "dropped", "rule_ids": [ "R5g_c" ], "notes": "lmcouncil.ai scores are JS-rendered; could not extract value. R5g(c). DROPPED (R5h): random third-party blog/aggregator, no primary trail | DROPPED (R5g-c stale, never verified, source not audited in any pass)", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "swe_bench_verified", "score": 79.6, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "non-thinking", "effort": "max", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 79.6.", "candidates": [ { "score": 79.6, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: SWE-Bench Verified single attempt 79.6%" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "osworld", "score": 72.5, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 72.5." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "arc_agi_2", "score": 58.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "120k thinking budget", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 58.3.", "candidates": [ { "score": 58.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: ARC-AGI-2 ARC Prize Verified 58.3% (Thinking Max)" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "gdpval_aa_elo", "score": 1633, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 1633." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "aa_intelligence_index", "score": 51, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index", "audit_status": "needs_review", "rule_ids": [ "R5g_d" ], "notes": "AA Intelligence Index: claude-sonnet-4-6-adaptive = 51.72 (rounds to 52), but BP has 51. 1-point discrepancy vs current AA data. Possible stale or truncation-vs-round difference. Current AA value: 51.72." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "aime_2025", "score": 95.6, "reference_url": "https://anthropic.com/claude-sonnet-4-6-system-card", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Claude Sonnet 4.6 System Card section 2.10: AIME 2025 95.6% without tools, avg over 10 trials, max effort. (Card notes potential contamination concern, see Section 2.2 of Opus 4.5 System Card.) [R5d: prior unverified value 97.0 from anthropic blog deleted.]" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "browsecomp", "score": 74.7, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "non-thinking", "effort": "max", "tools": "agentic (web search + fetch + programmatic tool calling, context compaction at 50k up to 10M)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 74.7.", "candidates": [ { "score": 74.7, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: BrowseComp Search+Python+Browse 74.7%" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "frontiermath", "score": 32.4, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "epoch.ai FrontierMath-2025-02-28-Private: claude-sonnet-4-6_16K = 32.4% (16k thinking). Canonical requests max effort but epoch.ai only has 16k thinking variant for Sonnet 4.6; no max entry exists. BP had 35.0.", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "n/a", "tools": "none", "context": "16k thinking" } }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "gpqa_diamond", "score": 89.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 89.9.", "candidates": [ { "score": 89.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: GPQA Diamond no tools 89.9% (Thinking Max)" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "hle", "score": 33.2, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none (no-tools column)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 33.2.", "candidates": [ { "score": 33.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE no tools 33.2% (Thinking Max)" }, { "score": 49.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: HLE Search+Code 49.0% (Thinking Max)" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "humaneval", "score": 93.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. Web search shows conflicting values (90.8% vs JSON 93.0%). R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "ifeval", "score": 92.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. Web search shows 89.9% vs JSON 92.0%. R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "livecodebench", "score": 74.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. Web search shows 72.4% vs JSON 74.0%. R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mmlu", "score": 90.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. Web search shows 89.7% vs JSON 90.0%. R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mmlu_pro", "score": 80.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. Web search shows 79.1% vs JSON 80.0%. R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mmmu", "score": 74.2, "reference_url": "https://automatio.ai/models/claude-sonnet-4-6", "audit_status": "dropped", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (automatio.ai); R5h priority. DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "simpleqa", "score": 68.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "Anthropic blog benchmark table is a CDN PNG image; cannot extract text value. R5g(c)." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "tau_bench_retail", "score": 89.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 89.0 from anthropic.com/news/claude-sonnet-4-6 is mislabeled \u2014 Anthropic Sonnet 4.6 reports tau2-bench (v2) not tau-bench (v1). Use tau2_bench_retail (already verified at 91.7) instead." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "tau_bench_telecom", "score": 97.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 97.0 from anthropic.com/news/claude-sonnet-4-6 is mislabeled \u2014 Anthropic Sonnet 4.6 reports tau2-bench (v2) not tau-bench (v1). Use tau2_bench_telecom (already verified at 97.9) instead." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "arc_agi_1", "score": 86.5, "reference_url": "https://anthropic.com/claude-sonnet-4-6-system-card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "notes": "120k thinking tokens, ARC Prize Foundation private set" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Claude Sonnet 4.6 System Card section 2.7: ARC-AGI-1 86.5% reported by ARC Prize Foundation with 120k thinking tokens and high effort on private set. matches_canonical=false (high effort vs canonical max). [R5d: prior unverified value 86.0 from arcprize.org leaderboard deleted.]" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "codeforces_rating", "score": 2010, "reference_url": "https://www.nxcode.io/resources/news/claude-sonnet-4-6-complete-guide-benchmarks-pricing-2026", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (nxcode.io); R5h priority." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "math_500", "score": 96.5, "reference_url": "https://www.nxcode.io/resources/news/claude-sonnet-4-6-complete-guide-benchmarks-pricing-2026", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (nxcode.io); R5h priority." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mmmu_pro", "score": 74.5, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 74.5.", "candidates": [ { "score": 74.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMU-Pro no tools 74.5%" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mrcr_v2", "score": 84.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "source_type": "official_blog", "audit_status": "verified", "matches_canonical": true, "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 82 from https://awesomeagents.ai/leaderboards/long-context-benchmarks-leaderboard/ deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: MRCR v2 8-needle 128k average 84.9%" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "swe_bench_pro", "score": 48.2, "reference_url": "https://www.nxcode.io/resources/news/claude-sonnet-4-6-complete-guide-benchmarks-pricing-2026", "audit_status": "needs_review", "rule_ids": [ "R5h" ], "notes": "Source is third-party blog (nxcode.io); R5h priority." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "terminal_bench", "score": 59.1, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "non-thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5-15 trials)", "judge": "rule-based", "harness": "Terminus-2 (1\u00d7 guaranteed/3\u00d7 ceiling)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 59.1.", "candidates": [ { "score": 59.1, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: Terminal-Bench 2.0 Terminus-2 59.1%" } ] }, { "model_id": "claude-mythos", "benchmark_id": "swe_bench_verified", "score": 93.9, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic (bash/edit + thinking)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.4: 5 trials, standard config." }, { "model_id": "claude-mythos", "benchmark_id": "swe_bench_pro", "score": 77.8, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.4: 5 trials." }, { "model_id": "claude-mythos", "benchmark_id": "terminal_bench", "score": 82.0, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Harbor scaffold + Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.5." }, { "model_id": "claude-mythos", "benchmark_id": "gpqa_diamond", "score": 94.5, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card: 94.55%." }, { "model_id": "claude-mythos", "benchmark_id": "hle", "score": 56.8, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: no-tools column. With-tools=64.7 not used." }, { "model_id": "claude-mythos", "benchmark_id": "osworld", "score": 79.6, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A." }, { "model_id": "claude-mythos", "benchmark_id": "usamo_2025", "score": 97.6, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.8: max effort, no tools, avg 10 trials per problem. MathArena grading methodology (3 LLM judges incl. Gemini 3.1 Pro neutral rewriter)." }, { "model_id": "claude-opus-4.7", "benchmark_id": "swe_bench_pro", "score": 64.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 64.3%.", "candidates": [ { "score": 64.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 64.3 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "swe_bench_verified", "score": 87.6, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 87.6%." }, { "model_id": "claude-opus-4.7", "benchmark_id": "terminal_bench", "score": 69.4, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (1\u00d7 guaranteed/3\u00d7 ceiling, avg 5)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 69.4%.", "candidates": [ { "score": 69.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 69.4 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "hle", "score": 46.9, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 46.9%.", "candidates": [ { "score": 46.9, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 46.9 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "browsecomp", "score": 79.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 79.3%.", "candidates": [ { "score": 79.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 79.3 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "gpqa_diamond", "score": 94.2, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 94.2%.", "candidates": [ { "score": 94.2, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 94.2 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "arc_agi_1", "score": 92.0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude 4.7 (Max) on leaderboard; canonical is default effort" }, { "model_id": "claude-opus-4.7", "benchmark_id": "arc_agi_2", "score": 75.8, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Claude 4.7 (Max) on leaderboard; canonical is default effort" }, { "model_id": "claude-opus-4.7", "benchmark_id": "frontiermath", "score": 43.8, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "audit_status": "verified", "matches_canonical": false, "notes": "GPT-5.5 blog table: FrontierMath Tier 1\u20133=43.8%; third-party self-test by OpenAI", "source_type": "third_party" }, { "model_id": "gemini-2.0-flash", "benchmark_id": "mmlu_pro", "score": 77.6, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MMLU-Pro 77.6% [Promoted to verified per R5d, prior unverified value 76.4 from https://www.helicone.ai/blog/gemini-2.0-flash deleted.]", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "mmmu", "score": 71.7, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MMMU 71.7% [Promoted to verified per R5d, prior unverified value 70.7 from https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/ deleted.]", "candidates": [ { "score": 75.4, "reference_url": "https://llm-stats.com/benchmarks/mmmu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Gemini 2.0 Flash Thinking, slug=gemini-2.0-flash-thinking, provider=Google" } ] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "gpqa_diamond", "score": 60.1, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): GPQA Diamond 60.1% [Promoted to verified per R5d, prior unverified value 74.2 from https://www.marktechpost.com/2025/01/21/google-ai-releases-gemini-2-0-flash-thinking-model/ deleted.]", "candidates": [ { "score": 74.2, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Gemini 2.0 Flash Thinking, slug=gemini-2.0-flash-thinking, provider=Google" } ] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "aime_2024", "score": 73.3, "reference_url": "https://www.marktechpost.com/2025/01/21/google-ai-releases-gemini-2-0-flash-thinking-model/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail", "candidates": [ { "score": 73.3, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Gemini 2.0 Flash Thinking, slug=gemini-2.0-flash-thinking, provider=Google" } ] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "arc_agi_2", "score": 1.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: Gemini 2.0 Flash Base LLM on leaderboard" }, { "model_id": "gemini-2.0-flash", "benchmark_id": "arena_hard", "score": 50.0, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.0-flash", "benchmark_id": "ifeval", "score": 80.0, "reference_url": "https://www.helicone.ai/blog/gemini-2.0-flash", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-2.0-flash", "benchmark_id": "mmlu", "score": 76.4, "reference_url": "https://www.marktechpost.com/2025/01/21/google-ai-releases-gemini-2-0-flash-thinking-model-gemini-2-0-flash-thinking-exp-01-21-scoring-73-3-on-aime-math-and-74-2-on-gpqa-diamond-science-benchmarks/", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 76.4 from marktechpost.com matches mmlu_pro=76.4 from same source \u2014 likely source mislabeled MMLU-Pro as MMLU. Standard MMLU 5-shot 14k not reported in Gemini 2.0 Flash model card. Use mmlu_pro cell instead." }, { "model_id": "gemini-2.0-flash", "benchmark_id": "simpleqa", "score": 29.9, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): SimpleQA (no search) 29.9% [Promoted to verified per R5d, prior unverified value 27.0 from https://www.helicone.ai/blog/gemini-2.0-flash deleted.]", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "bigcodebench", "score": 45.9, "reference_url": "https://bigcode-bench.github.io/", "audit_status": "verified", "reported_setting": "BigCodeBench Complete Instruct pass@1", "source_type": "leaderboard", "matches_canonical": true, "notes": "Source entry: Gemini-2.0-Flash-Exp (2025-02-05)" }, { "model_id": "gemini-2.0-flash", "benchmark_id": "humaneval", "score": 82.6, "reference_url": "https://artificialanalysis.ai/models/gemini-2-0-flash", "audit_status": "needs_review", "notes": "Reference URL is AA model page (gemini-2-0-flash). Current AA model page shows humaneval=0.904\u219290.4%, but BP has 82.6%. Major mismatch (7.8pp). Likely stale data; AA may have updated score. Current AA value: 90.4%." }, { "model_id": "gemini-2.0-flash", "benchmark_id": "livecodebench", "score": 34.5, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): LiveCodeBench v5 (UI 10/01/2024-02/01/2025) 34.5% [Promoted to verified per R5d, prior unverified value 45.2 from https://artificialanalysis.ai/models/gemini-2-0-flash deleted.]", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "math_500", "score": 83.9, "reference_url": "https://artificialanalysis.ai/models/gemini-2-0-flash", "audit_status": "needs_review", "notes": "Reference URL is AA model page (gemini-2-0-flash). Current AA model page shows math_500=0.93\u219293.0%, but BP has 83.9%. Major mismatch (9.1pp). Likely stale data; AA may have updated score. Current AA value: 93.0%." }, { "model_id": "gemini-2.0-flash", "benchmark_id": "swe_bench_verified", "score": 42, "reference_url": "https://artificialanalysis.ai/models/gemini-2-0-flash", "audit_status": "needs_review", "notes": "Reference URL is AA model page (gemini-2-0-flash). AA does not publish swe_bench_verified scores; field is not present in AA model data. Cannot verify 42 from AA source. Original source may be SWE-bench.com." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "aime_2025", "score": 88.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 88.0% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 86.7, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=86.7." }, { "score": 86.7, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (gemini-2.5-pro column): aime_2025=86.7 (alt measurement, mc=false)" } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "aime_2024", "score": 92.0, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=92.0." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "gpqa_diamond", "score": 86.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 86.4% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 84, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gemini-2.5-pro=84." }, { "score": 84.0, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=84.0." }, { "score": 84.0, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (gemini-2.5-pro column): gpqa_diamond=84.0 (alt measurement, mc=false)" } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "hle", "score": 21.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 21.6% (Gemini 2.5 Pro Thinking) [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "swe_bench_verified", "score": 59.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 59.6% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 67.2, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Pro-Model-Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "multiple attempts (parallel test-time compute)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "notes": "Gemini 2.5 Pro Model Card: multiple attempts 67.2% (parallel test-time compute, drawing multiple trajectories + re-scoring with model judgement). Different setting from canonical single-attempt primary 59.6%." }, { "score": 63.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gemini-2.5-pro=63.8." }, { "score": 63.8, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=63.8." } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "math_500", "score": 97.3, "reference_url": "https://www.helicone.ai/blog/gemini-2.5-full-developer-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "livecodebench", "score": 69.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Pro-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single attempt)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Pro Model Card (June 2025 GA): LiveCodeBench (UI 1/1/2025-5/1/2025) single attempt 69.0% [Promoted to verified per R5d, prior unverified value 70.4 from https://www.helicone.ai/blog/gemini-2.5-full-developer-guide deleted.]", "candidates": [ { "score": 80, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gemini-2.5-pro=80." }, { "score": 69.1, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (gemini-2.5-pro column): livecodebench=69.1 (alt measurement, mc=false)" } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "simpleqa", "score": 54.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Pro-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single attempt)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Pro Model Card (June 2025 GA): SimpleQA single attempt 54.0% [Promoted to verified per R5d, prior unverified value 52.9 from https://www.helicone.ai/blog/gemini-2.5-full-developer-guide deleted.]", "candidates": [ { "score": 52.9, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=52.9." } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "mmmu", "score": 82.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Pro-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single attempt)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Pro Model Card (June 2025 GA): MMMU single attempt pass@1 82.0% (GA; was 81.7 from Experimental 03-25 column of same card, mislabeled) [Promoted to verified per R5d, prior unverified value 81.7 from https://modelcards.withgoogle.com/assets/documents/gemini-2.5-pro.pdf deleted.]", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "mmlu", "score": 89.8, "reference_url": "https://modelcards.withgoogle.com/assets/documents/gemini-2.5-pro.pdf", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 89.8 from modelcards.withgoogle.com/.../gemini-2.5-pro.pdf is actually Global MMLU Lite from the Experimental 03-25 column, NOT standard MMLU 5-shot 14k. Source mislabel + wrong-version. Standard MMLU 5-shot is not reported in this card." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "arena_hard", "score": 90.8, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-pro", "benchmark_id": "chatbot_arena_elo", "score": 1448, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-2.5-pro (rank 42). ELO updates continuously; score reflects latest available." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "aa_intelligence_index", "score": 60, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=60." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "arc_agi_2", "score": 4.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 4.9% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "codeforces_rating", "score": 2001, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-235B card: Gemini-2.5 Pro CFEval=2001.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "frontiermath", "score": 14.1, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: gemini-2.5-pro (Gemini 2.5 Pro Jun 2025) = 14.1%. Canonical model-id gemini-2.5-pro matches. BP had 5.0 (stale/incorrect)." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "hmmt_feb_2025", "score": 82.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (gemini-2.5-pro column): hmmt_2025=82.5 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "ifeval", "score": 91.5, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=91.5." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "imo_2025", "score": 31.55, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "matharena_apex_2025", "score": 0.5, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "mmlu_pro", "score": 86, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=86.", "candidates": [ { "score": 86.3, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=86.3." } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "usamo_2025", "score": 24.0, "reference_url": "https://files.sri.inf.ethz.ch/matharena/usamo_report.pdf", "audit_status": "verified", "source_type": "academic_paper", "matches_canonical": true, "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:11:23Z", "audit_note": "Table 1: GEMINI-2.5-PRO Total=10.1/42=24.0%. JSON=24.0 matches." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "terminal_bench", "score": 32.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: Terminal-Bench 2.0 Terminus-2 32.6% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 25.3, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: gemini-2.5-pro=25.3." } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "arc_agi_1", "score": 27.6, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: gemini-2.5-pro=27.6." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "brumo_2025", "score": 90, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "cmimc_2025", "score": 58.13, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "critpt", "score": 2, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-pro", "benchmark_id": "hmmt_nov_2025", "score": 80.0, "reference_url": "https://matharena.ai/?comp=hmmt--hmmt_nov_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "ifbench", "score": 49, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=49." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "livebench", "score": 57.5, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-2.5-pro-06-05-highthinking avg=57.5. Canonical thinking+default matches. BP had 58.3 (rounding difference)." }, { "model_id": "gemini-2.5-pro", "benchmark_id": "mrcr_v2", "score": 58.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 58.0% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 16.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "1m" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MRCR v2 1M 16.4%" } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "simplebench", "score": 62.4, "reference_url": "https://lmcouncil.ai/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail | DROPPED (R5g-c stale, never verified, source not audited in any pass)" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "smt_2025", "score": 84.91, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "terminal_bench_1", "score": 25.3, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 25.3% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15)." }, { "model_id": "gemini-2.5-flash", "benchmark_id": "aime_2025", "score": 72.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 72.0% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 75.7, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 with code 75.7%" } ] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "arena_hard", "score": 83.9, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-flash", "benchmark_id": "aime_2024", "score": 88.0, "reference_url": "https://modelcards.withgoogle.com/assets/documents/gemini-2.5-flash.pdf", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Source URL (modelcards.withgoogle.com/assets/documents/gemini-2.5-flash.pdf) returns 302 redirect to /models/model-cards; PDF is permanently dead/inaccessible.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "livecodebench", "score": 63.9, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: LiveCodeBench v5 single attempt 63.9" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "codeforces_rating", "score": 1995, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-30B-Thinking card: Gemini2.5-Flash-Thinking CFEval=1995.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "gpqa_diamond", "score": 82.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 82.8% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "hmmt_feb_2025", "score": 64.2, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-30B-Thinking card: Gemini2.5-Flash-Thinking HMMT25=64.2.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "ifeval", "score": 84.3, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-30B-Instruct card: Gemini-2.5-Flash Non-Thinking IFEval=84.3.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "mmlu", "score": 85.0, "reference_url": "https://deepmind.google/technologies/gemini/flash/", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "deepmind.google/technologies/gemini/flash/ now shows Gemini 3 Flash; benchmark table shows AIME 2025 and MMMLU \u2014 no standard MMLU=85.0 for Gemini 2.5 Flash.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "mmlu_pro", "score": 81.1, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-30B-Instruct card: Gemini-2.5-Flash Non-Thinking MMLU-Pro=81.1.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "terminal_bench", "score": 16.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: Terminal-Bench 2.0 Terminus-2 16.9% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "arc_agi_1", "score": 33.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Gemini 2.5 Flash (Preview) on leaderboard" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "arc_agi_2", "score": 2.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 2.5% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "brumo_2025", "score": 83.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "cmimc_2025", "score": 51.88, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "critpt", "score": 1.1, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-flash", "benchmark_id": "hle", "score": 11.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 11.0% (Gemini 2.5 Flash Thinking) [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "humaneval", "score": 90.2, "reference_url": "https://llm-stats.com/models/gemini-2.5-flash", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "livebench", "score": 46.9, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-2.5-flash-06-05-highthinking avg=46.9. Canonical requires Dec 2025 GA version; livebench has Jun 2025 preview (46.9) and Sep 2025 preview (52.3). Used Jun 2025 as closest to model release. BP had 47.7. See review." }, { "model_id": "gemini-2.5-flash", "benchmark_id": "math_500", "score": 95.2, "reference_url": "https://llm-stats.com/models/gemini-2.5-flash", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "mmmu", "score": 79.7, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: MMMU single attempt 79.7. [R5d: prior unverified value 73.5 from https://llm-stats.com/models/gemini-2.5-flash deleted.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "simpleqa", "score": 26.9, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: SimpleQA 26.9. [R5d: prior unverified value 28.1 from https://llm-stats.com/models/gemini-2.5-flash deleted.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "smt_2025", "score": 75.47, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "swe_bench_verified", "score": 60.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 60.4% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "terminal_bench_1", "score": 16.8, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 16.8% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-17)." }, { "model_id": "gemma-3-27b", "benchmark_id": "mmlu_pro", "score": 67.5, "reference_url": "https://arxiv.org/abs/2503.19786", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Gemma 3 tech report Table 6 IT 27B: MMLU-Pro 67.5" }, { "model_id": "gemma-3-27b", "benchmark_id": "gpqa_diamond", "score": 42.4, "reference_url": "https://arxiv.org/abs/2503.19786", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Gemma 3 tech report Table 6 IT 27B: GPQA Diamond 42.4" }, { "model_id": "gemma-3-27b", "benchmark_id": "livecodebench", "score": 29.7, "reference_url": "https://arxiv.org/abs/2503.19786", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Gemma 3 tech report Table 6 IT 27B: LiveCodeBench 29.7" }, { "model_id": "gemma-3-27b", "benchmark_id": "humaneval", "score": 87.8, "reference_url": "https://www.emergentmind.com/topics/gemma-3-27b-it", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemma-3-27b", "benchmark_id": "chatbot_arena_elo", "score": 1338, "reference_url": "https://arxiv.org/abs/2503.19786", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Gemma 3 tech report Table 6 IT 27B: Chatbot Arena Elo 1338 (Table 5)" }, { "model_id": "gemma-3-27b", "benchmark_id": "mmlu", "score": 76.9, "reference_url": "https://arxiv.org/abs/2503.19786", "audit_status": "dropped", "notes": " | DROPPED: BP value 76.9 with cell URL arxiv:2503.19786 \u2014 Table 6 IT does not include MMLU; pre-trained Table 9 shows 75.2. Value 76.9 not present in paper. Ghost cell per R5g(a)." }, { "model_id": "gemma-3-27b", "benchmark_id": "arena_hard", "score": 69.9, "reference_url": "https://github.com/lmarena/arena-hard-auto", "audit_status": "verified", "reported_setting": "Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemma-3-27b", "benchmark_id": "gsm8k", "score": 92.3, "reference_url": "https://arxiv.org/abs/2503.19786", "audit_status": "dropped", "notes": " | DROPPED: BP value 92.3 with cell URL arxiv:2503.19786 \u2014 Gemma 3 paper Table 6 IT does not report GSM8K; pre-trained 27B GSM8K = 74.6. Value 92.3 not present. Ghost cell per R5g(a)." }, { "model_id": "gemma-3-27b", "benchmark_id": "aime_2024", "score": 22, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL llm-stats with value 22; Gemma 3 paper does not report AIME 2024. Third-party ghost; canonical paper has no entry to verify against." }, { "model_id": "gemma-3-27b", "benchmark_id": "ifeval", "score": 78, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL llm-stats with value 78; Gemma 3 paper does not report IFEval in IT Table 6. Third-party ghost." }, { "model_id": "gemma-3-27b", "benchmark_id": "math_500", "score": 78, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL llm-stats with value 78; Gemma 3 paper Table 6 reports MATH (full set, score 89.0) not MATH-500 subset. Wrong-benchmark ghost." }, { "model_id": "gemma-3-27b", "benchmark_id": "simpleqa", "score": 10.0, "reference_url": "https://arxiv.org/abs/2503.19786", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Gemma 3 tech report Table 6 IT 27B: SimpleQA 10.0 (was 22 from llm-stats). [R5d: prior unverified value 22 from https://llm-stats.com/benchmarks deleted.]" }, { "model_id": "gemma-3-27b", "benchmark_id": "swe_bench_verified", "score": 32, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL llm-stats with value 32; Gemma 3 paper does not report SWE-bench Verified. Third-party ghost." }, { "model_id": "gemini-3-pro", "benchmark_id": "gpqa_diamond", "score": 91.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: GPQA Diamond no tools 91.9%", "candidates": [ { "score": 91.9, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 91.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 91.9%" }, { "score": 91.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gemini-3-pro=91.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "aime_2025", "score": 95.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 95.0% [Promoted to verified, prior unverified value deleted per R5d.]", "candidates": [ { "score": 100.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 with code 100%" }, { "score": 96.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gemini-3-pro=96.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "swe_bench_verified", "score": 76.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SWE-Bench Verified single attempt 76.2%", "candidates": [ { "score": 76.2, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 76.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 76.2%" } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "hle", "score": 37.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: HLE no tools 37.5%", "candidates": [ { "score": 44.4, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party, no tools)." }, { "score": 37.5, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 45.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ table: HLE Search (blocklist)+Code 45.8% (3 Pro). Different from no-tools primary 37.5%." }, { "score": 37.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 37.5% (Gemini 3 Pro Thinking)" }, { "score": 45.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: HLE Search+Code 45.8%" }, { "score": 37.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=37.7." }, { "score": 37.2, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gemini-3-pro=37.2." }, { "score": 37.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gemini-3-pro=37.2." }, { "score": 33.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=33.3." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "arc_agi_2", "score": 31.1, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: ARC-AGI-2 ARC Prize Verified 31.1%", "candidates": [ { "score": 31.1, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 31.1, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 31.1%" } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mmmu_pro", "score": 81.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: MMMU-Pro no tools 81.0%", "candidates": [ { "score": 81.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 81.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 81.0%" } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mmlu_pro", "score": 90.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=90.1.", "candidates": [ { "score": 89.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 89.8 (3rd-party Qwen self-test)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mrcr_v2", "score": 77.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: MRCR v2 8-needle 128k average 77.0%", "candidates": [ { "score": 77.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 26.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "1m" }, "notes": "DeepMind /models/gemini/pro/ table: MRCR v2 1M pointwise 26.3% (3 Pro)." }, { "score": 26.3, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "1m" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MRCR v2 1M pointwise 26.3%" } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "simpleqa", "score": 72.1, "reference_url": "https://officechai.com/ai/gemini-3-1-pro-benchmarks/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-pro", "benchmark_id": "chatbot_arena_elo", "score": 1501, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-pro", "benchmark_id": "livecodebench", "score": 90.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=90.7." }, { "model_id": "gemini-3-pro", "benchmark_id": "browsecomp", "score": 59.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): BrowseComp Search+Python+Browse 59.2% (was 85.9 from vellum.ai which mislabeled 3.1 Pro number; demoted to candidate)", "candidates": [ { "score": 85.9, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 37.8, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gemini-3-pro=37.8." }, { "score": 37.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gemini-3-pro=37.8." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "tau_bench_telecom", "score": 99.3, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 99.3 from vellum.ai is actually \u03c4\u00b2-bench-telecom for 3.1 Pro (not 3 Pro, not \u03c4-bench). Source mislabel + wrong-model. Use tau2_bench_telecom for 3-pro." }, { "model_id": "gemini-3-pro", "benchmark_id": "mmlu", "score": 91.8, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell value 91.8 from vellum.ai is actually MMMLU not MMLU. Source mislabel. Use mmmlu cell instead." }, { "model_id": "gemini-3-pro", "benchmark_id": "humaneval", "score": 93.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-pro", "benchmark_id": "frontiermath", "score": 38.0, "reference_url": "https://x.com/EpochAIResearch/status/1991945942174761050", "audit_status": "needs_review", "audit_note": "Source is a Twitter/X post (x.com/EpochAIResearch/status/1991945942174761050); requires browser to verify tweet content. Value 38.0 not verified via automated fetch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "gemini-3-pro", "benchmark_id": "codeforces_rating", "score": 2708, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=2708.", "candidates": [ { "score": 2726, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=2726." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "swe_bench_pro", "score": 43.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SWE-Bench Pro single attempt 43.3%", "candidates": [ { "score": 43.3, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 49.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gemini-3-pro=49.7." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mmmu", "score": 87.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 87.2 (3rd-party Qwen self-test). [R5d: prior unverified value 87.51 from https://www.vellum.ai/blog/google-gemini-3-benchmarks deleted.]", "candidates": [ { "score": 87.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gemini-3-pro=87.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "math_500", "score": 97.3, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "needs_review", "notes": "Reference URL is AA math-500 eval page, but gemini-3-1-pro-preview is NOT present on that page; AA shows math_500=null for this model. Possible ghost score (R5g-a). Cannot verify 97.3% from AA source." }, { "model_id": "gemini-3-pro", "benchmark_id": "ifeval", "score": 93.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifeval 93.5 (3rd-party Qwen self-test). [R5d: prior unverified value 90.0 from https://www.vellum.ai/blog/google-gemini-3-benchmarks deleted.]" }, { "model_id": "gemini-3-pro", "benchmark_id": "matharena_apex_2025", "score": 24.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "audit_status": "verified", "rule_id": "R5h-third-party-blog", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=24.5.", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "osworld", "score": 55.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-pro", "benchmark_id": "scicode", "score": 56.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SciCode 56% (rounded; existing 56.1 within rounding)", "candidates": [ { "score": 56.1, "reference_url": "https://artificialanalysis.ai/evaluations/scicode", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 56.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gemini-3-pro=56.1." }, { "score": 57.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gemini-3-pro=57.7." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "terminal_bench", "score": 56.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: Terminal-Bench 2.0 Terminus-2 56.9%", "candidates": [ { "score": 57.2, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Reported by Anthropic Sonnet 4.6 blog (third-party)." }, { "score": 56.9, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 54.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Terminal-Bench 2.0 Terminus-2 54.2% (Note: differs from /pro/ page 56.9 \u2014 Flash page shows 54.2)" }, { "score": 54.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=54.2." }, { "score": 54.2, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gemini-3-pro=54.2." }, { "score": 54.2, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: gemini-3-pro=54.2." }, { "score": 54.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gemini-3-pro=54.2." }, { "score": 54.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 54.2 (3rd-party Qwen self-test)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "aime_2024", "score": 97, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-pro", "benchmark_id": "arc_agi_1", "score": 85.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=85.0." }, { "model_id": "gemini-3-pro", "benchmark_id": "brumo_2025", "score": 98.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:high", "source_type": "leaderboard" }, { "model_id": "gemini-3-pro", "benchmark_id": "cmimc_2025", "score": 90, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:high", "source_type": "leaderboard" }, { "model_id": "gemini-3-pro", "benchmark_id": "critpt", "score": 9.1, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-3-pro", "benchmark_id": "hmmt_nov_2025", "score": 93.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=93.3.", "candidates": [ { "score": 93.0, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gemini-3-pro=93.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "livebench", "score": 73.5, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-3-pro-preview-11-2025-high avg=73.5. Canonical thinking+high matches. BP had 73.4 (0.1 rounding diff)." }, { "model_id": "gemini-3-pro", "benchmark_id": "smt_2025", "score": 93.4, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:high", "source_type": "leaderboard" }, { "model_id": "gemini-3-pro", "benchmark_id": "tau_bench_retail", "score": 88.5, "reference_url": "https://artificialanalysis.ai/articles/gemini-3-pro-everything-you-need-to-know", "audit_status": "needs_review", "notes": "Reference URL is AA article page (gemini-3-pro-everything-you-need-to-know). AA only publishes aggregate tau2 scores; no retail-domain breakdown available in AA data. gemini-3-1-pro-preview tau2=0.956 aggregate. Cannot verify 88.5 from AA source." }, { "model_id": "gemini-3-flash", "benchmark_id": "gpqa_diamond", "score": 90.4, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond no tools 90.4%", "candidates": [ { "score": 90.4, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "mmlu", "score": 91.8, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "notes": " | DROPPED: BP cell 91.8 from vellum.ai is actually MMMLU (multilingual) not MMLU. Source mislabel. Use mmmlu cell instead." }, { "model_id": "gemini-3-flash", "benchmark_id": "mmlu_pro", "score": 88.59, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "swe_bench_verified", "score": 78.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified single attempt 78.0%", "candidates": [ { "score": 78.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "hle", "score": 33.7, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 33.7%", "candidates": [ { "score": 33.7, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " }, { "score": 43.5, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ table: HLE Search+Code 43.5%" } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "mmmu_pro", "score": 81.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 81.2%", "candidates": [ { "score": 81.2, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "aime_2025", "score": 95.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 95.2%", "candidates": [ { "score": 99.7, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ table: AIME 2025 with code execution 99.7%" } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "mmmu", "score": 87.63, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "chatbot_arena_elo", "score": 1473, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-3-flash (rank 15). ELO updates continuously; score reflects latest available." }, { "model_id": "gemini-3-flash", "benchmark_id": "browsecomp", "score": 75.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "frontiermath", "score": 35.6, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: gemini-3-flash-preview = 35.6% (Display: Gemini 3 Flash). BP had 30.0." }, { "model_id": "gemini-3-flash", "benchmark_id": "livecodebench", "score": 90.8, "reference_url": "https://artificialanalysis.ai/evaluations/livecodebench", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA LiveCodeBench eval page: gemini-3-flash-reasoning livecodebench=0.908 \u2192 90.8%. AA slug: gemini-3-flash-reasoning (reasoning/thinking variant).", "reported_setting": { "mode": "thinking", "effort": "default", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "AA slug: gemini-3-flash-reasoning; livecodebench=90.8%" } }, { "model_id": "gemini-3-flash", "benchmark_id": "osworld", "score": 50.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "simpleqa", "score": 60.0, "reference_url": "https://www.vellum.ai/blog/google-gemini-3-benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "swe_bench_pro", "score": 34.63, "reference_url": "https://scale.com/leaderboard/swe_bench_pro_public", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "notes": " [Verified against Scale.com SWE-Bench Pro Public leaderboard (2026-04-29): gemini-3-flash = 34.63. Scale uses standardized evaluation scaffolding.]" }, { "model_id": "gemini-3-flash", "benchmark_id": "terminal_bench", "score": 47.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ (PROMOTED over prior third-party): Terminal-Bench 2.0 Terminus-2 47.6% (was 51.7 from tbench leaderboard, demoted to candidate)", "candidates": [ { "score": 51.7, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "aime_2024", "score": 93, "reference_url": "https://medium.com/@leucopsis/gemini-3-flash-preliminary-review-34e7420e3be7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "arc_agi_1", "score": 84.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Gemini 3 Flash Preview (High) on leaderboard; canonical is default" }, { "model_id": "gemini-3-flash", "benchmark_id": "arc_agi_2", "score": 33.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 33.6%", "candidates": [ { "score": 33.6, "reference_url": "https://arcprize.org/arc-agi/2/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/flash/ audit. Original notes: " } ] }, { "model_id": "gemini-3-flash", "benchmark_id": "brumo_2025", "score": 100, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-3-flash", "benchmark_id": "cmimc_2025", "score": 90.62, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-3-flash", "benchmark_id": "codeforces_rating", "score": 2100, "reference_url": "https://medium.com/@leucopsis/gemini-3-flash-preliminary-review-34e7420e3be7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "hmmt_nov_2025", "score": 93.33, "reference_url": "https://matharena.ai/?comp=hmmt--hmmt_nov_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-3-flash", "benchmark_id": "ifeval", "score": 88.2, "reference_url": "https://automatio.ai/models/gemini-3-flash", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3-flash", "benchmark_id": "livebench", "score": 73.0, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "high", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-3-flash-preview-high avg=73.0. Canonical thinking mode matches (high = default thinking for Gemini 3 Flash per canonical notes). BP had 72.4." }, { "model_id": "gemini-3-flash", "benchmark_id": "matharena_apex_2025", "score": 15.62, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-3-flash", "benchmark_id": "smt_2025", "score": 92.92, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "gemini-3-flash", "benchmark_id": "tau_bench_retail", "score": 82, "reference_url": "https://artificialanalysis.ai/articles/gemini-3-flash-everything-you-need-to-know", "audit_status": "needs_review", "notes": "Reference URL is AA article page (gemini-3-flash-everything-you-need-to-know). AA only publishes aggregate tau2 scores; no retail-domain breakdown available in AA data. gemini-3-flash tau2=N/A in AA (reasoning variant has other tau data). Cannot verify 82 from AA source." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "arc_agi_2", "score": 77.1, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: ARC-AGI-2 ARC Prize Verified 77.1%", "candidates": [ { "score": 77.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 77.1." }, { "score": 77.1, "reference_url": "https://techcrunch.com/2026/02/19/googles-new-gemini-pro-model-has-record-benchmark-scores-again/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "gpqa_diamond", "score": 94.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: GPQA Diamond no tools 94.3%", "candidates": [ { "score": 94.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 94.3." }, { "score": 94.3, "reference_url": "https://techcrunch.com/2026/02/19/googles-new-gemini-pro-model-has-record-benchmark-scores-again/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "hle", "score": 44.4, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: HLE no tools 44.4%", "candidates": [ { "score": 44.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 44.4 (no tools)." }, { "score": 44.4, "reference_url": "https://techcrunch.com/2026/02/19/googles-new-gemini-pro-model-has-record-benchmark-scores-again/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 51.4, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ table: HLE Search (blocklist)+Code 51.4% (3.1 Pro). Different from no-tools primary 44.4%." }, { "score": 45.0, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gemini-3.1-pro=45.0." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "swe_bench_verified", "score": 80.6, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SWE-Bench Verified single attempt 80.6%", "candidates": [ { "score": 80.6, "reference_url": "https://www.digitalapplied.com/blog/google-gemini-3-1-pro-benchmarks-pricing-guide", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "scicode", "score": 59.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SciCode 59% (rounded; existing 58.9 within rounding)", "candidates": [ { "score": 58.9, "reference_url": "https://artificialanalysis.ai/evaluations/scicode", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 58.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: gemini-3.1-pro=58.9." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "aime_2025", "score": 100.0, "reference_url": "https://automatio.ai/models/gemini-3-1-pro", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mmlu_pro", "score": 91.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 91.0." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mmmu_pro", "score": 80.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: MMMU-Pro no tools 80.5%", "candidates": [ { "score": 80.5, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 80.5 (no tools)." }, { "score": 80.5, "reference_url": "https://www.trendingtopics.eu/gemini-3-1-pro-leads-most-benchmarks/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 83.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: gemini-3.1-pro=83.0." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mathvision", "score": 89.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card: gemini-3.1-pro=89.8." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mrcr_v2", "score": 84.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "128k" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: MRCR v2 8-needle 128k average 84.9%", "candidates": [ { "score": 84.9, "reference_url": "https://smartscope.blog/en/generative-ai/google-gemini/gemini-3-1-pro-benchmark-analysis-2026/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " }, { "score": 26.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "1m" }, "notes": "DeepMind /models/gemini/pro/ table: MRCR v2 1M pointwise 26.3% (3.1 Pro)." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "simpleqa", "score": 72.1, "reference_url": "https://officechai.com/ai/gemini-3-1-pro-benchmarks/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "ifeval", "score": 89.2, "reference_url": "https://officechai.com/ai/gemini-3-1-pro-benchmarks/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "critpt", "score": 17.7, "reference_url": "https://artificialanalysis.ai/evaluations/critpt", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA CritPT eval page: gemini-3-1-pro-preview critpt=0.177 \u2192 17.7%. AA slug: gemini-3-1-pro-preview.", "reported_setting": { "mode": "thinking", "effort": "default", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "Per AA evaluations/critpt: gemini-3-1-pro-preview critpt=17.7%" } }, { "model_id": "gemini-3.1-pro", "benchmark_id": "aa_intelligence_index", "score": 57, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA Intelligence Index: gemini-3-1-pro-preview = 57.18 (displayed as 57). AA slug: gemini-3-1-pro-preview.", "reported_setting": { "mode": "thinking", "effort": "default", "harness": "AA Intelligence Index composite", "notes": "AA slug: gemini-3-1-pro-preview; II=57.18 rounds to 57" } }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mmlu", "score": 92.6, "reference_url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/", "audit_status": "dropped", "notes": " | DROPPED: BP cell 92.6 from /models/model-cards/gemini-3-1-pro/ is actually MMMLU not MMLU. Source mislabel. Use mmmlu cell instead." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "browsecomp", "score": 85.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "web+code", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: BrowseComp Search+Python+Browse 85.9%", "candidates": [ { "score": 85.9, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 85.9." }, { "score": 85.9, "reference_url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "frontiermath", "score": 36.9, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "candidates": [ { "score": 36.9, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 36.9 (Tier 1-3)." } ], "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "thinking", "effort": "n/a", "tools": "none" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: gemini-3.1-pro-preview (Gemini 3.1 Pro Preview) = 36.9%. Only one variant available; canonical effort=high not confirmed. BP had 40.0." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "chatbot_arena_elo", "score": 1493, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-3.1-pro-preview (rank 5). ELO updates continuously; score reflects latest available." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "osworld", "score": 72.0, "reference_url": "https://www.trendingtopics.eu/gemini-3-1-pro-leads-most-benchmarks/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "arc_agi_1", "score": 98.0, "reference_url": "https://arcprize.org/leaderboard", "candidates": [ { "score": 98.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 98.0." } ], "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Gemini 3.1 Pro (Preview, 2026-02-19) on leaderboard" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "codeforces_rating", "score": 3052, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 3052." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "humaneval", "score": 95.0, "reference_url": "https://www.digitalapplied.com/blog/google-gemini-3-1-pro-benchmarks-pricing-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "livecodebench", "score": 91.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 91.7." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "aime_2024", "score": 98, "reference_url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "deepmind.google/models/model-cards/gemini-3-1-pro/ has no AIME 2024 row. Card covers HLE, ARC-AGI-2, GPQA-D, SWE-Bench, etc.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:06:40Z" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "aime_2026", "score": 98.2, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: gemini-3.1-pro=98.2.", "candidates": [ { "score": 98.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: gemini-3.1-pro=98.3." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "math_500", "score": 98.5, "reference_url": "https://www.digitalapplied.com/blog/google-gemini-3-1-pro-benchmarks-pricing-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "matharena_apex_2025", "score": 60.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 60.9.", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mmmu", "score": 87.5, "reference_url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "deepmind.google/models/model-cards/gemini-3-1-pro/ has no standard MMMU row. Card shows MMMU-Pro=80.5%, not 87.5. Benchmark mismatch.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:06:40Z" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "simplebench", "score": 79.6, "reference_url": "https://lmcouncil.ai/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail | DROPPED (R5g-c stale, never verified, source not audited in any pass)" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "swe_bench_pro", "score": 54.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: SWE-Bench Pro single attempt 54.2%", "candidates": [ { "score": 54.2, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 54.2." }, { "score": 54.2, "reference_url": "https://www.digitalapplied.com/blog/google-gemini-3-1-pro-benchmarks-pricing-guide", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "tau_bench_retail", "score": 90.5, "reference_url": "https://deepmind.google/models/model-cards/gemini-3-1-pro/", "audit_status": "dropped", "notes": " | DROPPED: BP cell 90.5 from /models/model-cards/gemini-3-1-pro/ is actually \u03c4\u00b2-bench-retail not \u03c4-bench-retail. Use tau2_bench_retail (90.8)." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "terminal_bench", "score": 68.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Terminus-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table: Terminal-Bench 2.0 Terminus-2 68.5%", "candidates": [ { "score": 68.5, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 68.5." }, { "score": 68.5, "reference_url": "https://www.digitalapplied.com/blog/google-gemini-3-1-pro-benchmarks-pricing-guide", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "llama-4-scout", "benchmark_id": "mmlu_pro", "score": 74.3, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot pre-train", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": false, "notes": "Instruction-tuned 0-shot MMLU-Pro per HF/GitHub model card and Meta blog comparison table." }, { "model_id": "llama-4-scout", "benchmark_id": "gpqa_diamond", "score": 57.2, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned GPQA Diamond per HF/GitHub model card and Meta blog comparison table." }, { "model_id": "llama-4-scout", "benchmark_id": "mmmu", "score": 69.4, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned MMMU per HF/GitHub model card and Meta blog comparison table." }, { "model_id": "llama-4-scout", "benchmark_id": "livecodebench", "score": 32.8, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned LiveCodeBench (10/01/2024-02/01/2025) per HF/GitHub model card and Meta blog comparison table." }, { "model_id": "llama-4-scout", "benchmark_id": "chatbot_arena_elo", "score": 1350, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Scout Arena Elo not in Meta blog text (only Maverick 1417 mentioned). Need LMSYS leaderboard source. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-scout", "benchmark_id": "gsm8k", "score": 90.6, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Meta has not published Scout GSM8K. The 90.6 in BP equals MGSM 90.6 from instruction-tuned table \u2014 mislabel." }, { "model_id": "llama-4-scout", "benchmark_id": "humaneval", "score": 76.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not reported by Meta in blog/MC for Scout. Need third-party source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-scout", "benchmark_id": "ifeval", "score": 81.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not reported by Meta in blog/MC for Scout. Need third-party source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-scout", "benchmark_id": "arc_agi_1", "score": 0.5, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "ARC-AGI-1 is third-party leaderboard." }, { "model_id": "llama-4-scout", "benchmark_id": "arc_agi_2", "score": 0, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "ARC-AGI-2 is third-party leaderboard." }, { "model_id": "llama-4-scout", "benchmark_id": "arena_hard", "score": 72, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Arena Hard not in Meta blog text or PNG comparison tables for Scout. Need LMSYS/source. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-scout", "benchmark_id": "math_500", "score": 83, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not in Meta blog, HF model card, or GitHub MODEL_CARD. Need third-party source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-scout", "benchmark_id": "mmlu", "score": 79.6, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot pre-train", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": false, "notes": "Pre-train 5-shot MMLU per HF/GitHub model card. BP previously had 88.5 (likely confused with MMLU-Pro)." }, { "model_id": "llama-4-maverick", "benchmark_id": "mmlu_pro", "score": 80.5, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned 0-shot MMLU-Pro per HF/GitHub model card and Meta blog comparison table.", "candidates": [ { "score": 80.4, "reference_url": "https://mistral.ai/news/mistral-medium-3", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "notes": "Mistral blog (third-party self-test) \u2014 80.4 vs current verified 80.5." } ] }, { "model_id": "llama-4-maverick", "benchmark_id": "gpqa_diamond", "score": 69.8, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned GPQA Diamond per HF/GitHub model card and Meta blog comparison table.", "candidates": [ { "score": 61.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "notes": "Mistral blog (third-party self-test) \u2014 61.1 vs current verified 69.8." } ] }, { "model_id": "llama-4-maverick", "benchmark_id": "math_500", "score": 90.0, "reference_url": "https://mistral.ai/news/mistral-medium-3", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "notes": "Mistral Medium 3 blog table: 90.0. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "llama-4-maverick", "benchmark_id": "mmmu", "score": 73.4, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned MMMU per HF/GitHub model card and Meta blog comparison table.", "candidates": [ { "score": 71.8, "reference_url": "https://mistral.ai/news/mistral-medium-3", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "notes": "Mistral blog (third-party self-test) \u2014 71.8 vs current verified 73.4." } ] }, { "model_id": "llama-4-maverick", "benchmark_id": "livecodebench", "score": 43.4, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Instruction-tuned LiveCodeBench (10/01/2024-02/01/2025) per HF/GitHub model card and Meta blog comparison table." }, { "model_id": "llama-4-maverick", "benchmark_id": "chatbot_arena_elo", "score": 1417, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog text: Maverick 'scores ELO of 1417 on LMArena'." }, { "model_id": "llama-4-maverick", "benchmark_id": "arena_hard", "score": 91.8, "reference_url": "https://mistral.ai/news/mistral-medium-3", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "notes": "Mistral Medium 3 blog table: 91.8. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "llama-4-maverick", "benchmark_id": "humaneval", "score": 85.4, "reference_url": "https://mistral.ai/news/mistral-medium-3", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "notes": "Mistral Medium 3 blog table: 85.4. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "llama-4-maverick", "benchmark_id": "ifeval", "score": 88.9, "reference_url": "https://mistral.ai/news/mistral-medium-3", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "notes": "Mistral Medium 3 blog table: 88.9. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "llama-4-maverick", "benchmark_id": "simpleqa", "score": 20.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "SimpleQA not in Meta blog/MC for Maverick. Need third-party source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-maverick", "benchmark_id": "aime_2024", "score": 52, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "AIME 2024 not in Meta blog/MC for Maverick. Need third-party source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-maverick", "benchmark_id": "arc_agi_1", "score": 4.4, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "ARC-AGI-1 third-party leaderboard." }, { "model_id": "llama-4-maverick", "benchmark_id": "arc_agi_2", "score": 0, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "ARC-AGI-2 third-party leaderboard." }, { "model_id": "llama-4-maverick", "benchmark_id": "bigcodebench", "score": 49.7, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "BigCodeBench third-party leaderboard." }, { "model_id": "llama-4-maverick", "benchmark_id": "critpt", "score": 0, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "CritPt third-party benchmark." }, { "model_id": "llama-4-maverick", "benchmark_id": "mmlu", "score": 85.5, "reference_url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot pre-train", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": false, "notes": "Pre-train 5-shot MMLU per HF/GitHub model card. BP previously had 88.6 (likely confused with MMLU-Pro)." }, { "model_id": "llama-4-maverick", "benchmark_id": "swe_bench_verified", "score": 46.5, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "SWE-bench Verified third-party leaderboard." }, { "model_id": "llama-4-maverick", "benchmark_id": "terminal_bench_1", "score": 15.5, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "Terminal-Bench third-party leaderboard." }, { "model_id": "llama-4-behemoth", "benchmark_id": "math_500", "score": 95.0, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog comparison table and blog text: 'on several STEM benchmarks such as MATH-500'." }, { "model_id": "llama-4-behemoth", "benchmark_id": "mmlu_pro", "score": 82.2, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog comparison table (Behemoth vs Claude Sonnet 3.7 / Gemini 2.0 Pro / GPT-4.5) and blog text." }, { "model_id": "llama-4-behemoth", "benchmark_id": "gpqa_diamond", "score": 73.7, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog comparison table and blog text: 'on several STEM benchmarks such as MATH-500 and GPQA Diamond'." }, { "model_id": "llama-4-behemoth", "benchmark_id": "mmmu", "score": 76.1, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog comparison table (Behemoth vs Claude Sonnet 3.7 / Gemini 2.0 Pro / GPT-4.5)." }, { "model_id": "llama-4-behemoth", "benchmark_id": "livecodebench", "score": 49.4, "reference_url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/", "audit_status": "verified", "source_type": "official_blog", "reported_setting": { "prompt_style": "zeroshot", "judge": "rule-based", "harness": "official-meta", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "Meta blog comparison table (Behemoth vs Claude Sonnet 3.7 / Gemini 2.0 Pro / GPT-4.5)." }, { "model_id": "llama-4-behemoth", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not in Meta blog text or comparison PNG. Need source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-behemoth", "benchmark_id": "ifeval", "score": 86.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not in Meta blog text or comparison PNG. Need source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-behemoth", "benchmark_id": "aime_2024", "score": 72, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not in Meta blog text or comparison PNG. Need source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-behemoth", "benchmark_id": "mmlu", "score": 90.2, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Meta has not published Behemoth MMLU in any source (blog text, blog PNG comparison table, no model card released). 90.2 origin unknown." }, { "model_id": "llama-4-behemoth", "benchmark_id": "simpleqa", "score": 44, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Not in Meta blog text or comparison PNG. Need source or drop. | RESOLVED: dropped after audit \u2014 original ref was bogus blog URL, secondary blog, or unverifiable JS-rendered Meta product page." }, { "model_id": "llama-4-behemoth", "benchmark_id": "swe_bench_verified", "score": 55, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "SWE-bench Verified third-party leaderboard." }, { "model_id": "muse-spark", "benchmark_id": "mmmu_pro", "score": 80.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg 4 runs)", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog main table: MMMU Pro 80.4, Thinking mode. Avg 4 runs.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "hle", "score": 42.8, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "gpt-o3-mini (LLM-as-judge)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default", "notes": "No-tools variant. Full 2,500-question HLE dataset." }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: HLE (No Tools) 42.8, Thinking mode.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "arc_agi_2", "score": 42.5, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@2", "judge": "rule-based", "harness": "kaggle/arc-agi2", "prompt_style": "default", "temperature": "default", "notes": "pass@2 to match competition setup; 120-prompt public set" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: ARC-AGI-2 42.5, Thinking mode. 120 public-set prompts, pass@2. matches_canonical=false: canonical may be pass@1.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "gpqa_diamond", "score": 89.5, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg of 4 runs", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: GPQA Diamond 89.5, Thinking mode. Averaged over 4 runs.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "swe_bench_verified", "score": 77.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "bash + file ops (view/edit)", "sampling": "avg 15 attempts", "judge": "rule-based (official docker)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default", "notes": "Bug-fixed 5 test issues per methodology doc (astropy #7606, sphinx 8595/9711/8269/8475)." }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: SWE-bench Verified 77.4, Thinking mode. Single-attempt avg 15 trials; 5 test issues fixed.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "swe_bench_pro", "score": 52.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "bash + file ops", "sampling": "avg 4 attempts", "judge": "rule-based (official eval scripts)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: SWE-bench Pro 52.4, Thinking mode.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "terminal_bench", "score": 59.0, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "bash-only", "sampling": "avg 15 attempts", "judge": "rule-based", "harness": "official terminal-bench-2", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: Terminal-Bench 2.0 59.0, Thinking mode.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "gdpval_aa_elo", "score": 1444, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Artificial Analysis GDPval-AA Leaderboard", "prompt_style": "default", "temperature": "default", "notes": "Results from Artificial Analysis GDPval-AA leaderboard per Meta methodology" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5a" ], "notes": "Meta MSL blog: GDPval-AA Elo 1444. Sourced from Artificial Analysis leaderboard.", "candidates": [] }, { "model_id": "grok-3-beta", "benchmark_id": "gpqa_diamond", "score": 80.2, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=80.2.", "candidates": [ { "score": 84.6, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "extended", "tools": "none", "sampling": "parallel TTC (majority voting N=64)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog: Grok 3 Beta extended thinking GPQA=80.2/84.6%; 84.6% is parallel TTC. Primary 80.2 already verified." } ] }, { "model_id": "grok-3-beta", "benchmark_id": "mmlu_pro", "score": 79.9, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=79.9.", "candidates": [ { "score": 84.6, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=84.6." } ] }, { "model_id": "grok-3-beta", "benchmark_id": "livecodebench", "score": 57.0, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=57.0." }, { "model_id": "grok-3-beta", "benchmark_id": "chatbot_arena_elo", "score": 1402, "reference_url": "https://x.com/lmarena_ai/status/1891706264800936307", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-3-beta", "benchmark_id": "math_500", "score": 99.2, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-3-beta", "benchmark_id": "aime_2025", "score": 77.3, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=77.3." }, { "model_id": "grok-3-beta", "benchmark_id": "aime_2024", "score": 52.2, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=52.2.", "candidates": [ { "score": 83.9, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=83.9." }, { "score": 83.9, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "extended", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog (third-party eval): Grok 3 Beta extended thinking AIME-2024=83.9%/93.3% (parallel TTC). BP primary 52.2 is likely non-thinking mode." } ] }, { "model_id": "grok-3-beta", "benchmark_id": "simpleqa", "score": 43.6, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=43.6." }, { "model_id": "grok-3-beta", "benchmark_id": "arc_agi_1", "score": 31.9, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=31.9." }, { "model_id": "grok-3-beta", "benchmark_id": "arc_agi_2", "score": 0, "reference_url": "https://arcprize.org/arc-agi/2/", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-3-beta", "benchmark_id": "hle", "score": 18.2, "reference_url": "https://artificialanalysis.ai/models/grok-3", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-3-beta", "benchmark_id": "humaneval", "score": 87.3, "reference_url": "https://artificialanalysis.ai/models/grok-3", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-3-beta", "benchmark_id": "ifeval", "score": 83.4, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: grok-3-beta=83.4." }, { "model_id": "grok-3-beta", "benchmark_id": "mmlu", "score": 88, "reference_url": "https://artificialanalysis.ai/models/grok-3", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-3-beta", "benchmark_id": "swe_bench_verified", "score": 48.5, "reference_url": "https://artificialanalysis.ai/models/grok-3", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-3-beta", "benchmark_id": "terminal_bench_1", "score": 17.5, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "gpqa_diamond", "score": 87.5, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=87.5 (no tools, no Heavy).", "candidates": [ { "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "heavy" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" } ] }, { "model_id": "grok-4", "benchmark_id": "hle", "score": 25.4, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=25.4 (no tools, no Heavy).", "candidates": [ { "score": 50.7, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "heavy" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" } ] }, { "model_id": "grok-4", "benchmark_id": "arc_agi_2", "score": 15.9, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=15.9 (no tools, no Heavy).", "candidates": [ { "score": 16.0, "reference_url": "https://arcprize.org/leaderboard", "source_type": "leaderboard", "reported_setting": { "mode": "thinking", "effort": "thinking", "tools": "none", "sampling": "pass@1 (single-pass)", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "Grok 4 (Thinking) on arcprize.org leaderboard; BP primary 15.9 from x.ai/news/grok-4" } ] }, { "model_id": "grok-4", "benchmark_id": "livecodebench", "score": 79, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=79 (no tools, no Heavy).", "candidates": [ { "score": 79.4, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "effort": "heavy" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" } ] }, { "model_id": "grok-4", "benchmark_id": "swe_bench_verified", "score": 73.5, "reference_url": "https://datasciencedojo.com/blog/grok-4/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "aime_2025", "score": 91.7, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=91.7 (no tools, no Heavy).", "candidates": [ { "score": 100.0, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "heavy" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" } ] }, { "model_id": "grok-4", "benchmark_id": "aa_intelligence_index", "score": 73, "reference_url": "https://x.com/ArtificialAnlys/status/1943166841150644622", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-4", "benchmark_id": "humaneval", "score": 88.0, "reference_url": "https://automatio.ai/models/grok-4", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "simpleqa", "score": 48.0, "reference_url": "https://automatio.ai/models/grok-4", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "ifeval", "score": 89.2, "reference_url": "https://automatio.ai/models/grok-4", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "mmmu", "score": 75.0, "reference_url": "https://automatio.ai/models/grok-4", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "mmmu_pro", "score": 59.2, "reference_url": "https://automatio.ai/models/grok-4", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "codeforces_rating", "score": 2708, "reference_url": "https://x.ai/news/grok-4", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "x.ai/news/grok-4 returns 403 (Cloudflare blocked). Official Grok-4 benchmarks per secondary sources: HLE, ARC-AGI-2, SWE-Bench \u2014 Codeforces rating not in official announcement.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "grok-4", "benchmark_id": "chatbot_arena_elo", "score": 1465, "reference_url": "https://lmarena.ai/", "audit_status": "verified", "source_type": "leaderboard", "candidates": [ { "score": 1410, "reference_url": "https://lmarena.ai/leaderboard/text", "source_type": "leaderboard", "notes": "lmarena.ai grok-4-0709 (rank 92) ELO 2026-04-29. Lower than original 1465 due to ELO settling as new models enter arena." } ] }, { "model_id": "grok-4", "benchmark_id": "aime_2024", "score": 94.0, "reference_url": "https://www.llmrumors.com/news/grok-4-the-breakthrough-ai-model-that-changes-everything", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "arc_agi_1", "score": 66.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "frontiermath", "score": 13.0, "reference_url": "https://epoch.ai/blog/grok-4-math", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "imo_2025", "score": 11.9, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "mmlu", "score": 94.0, "reference_url": "https://forgecode.dev/blog/grok-4-initial-impression/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "mmlu_pro", "score": 87.0, "reference_url": "https://artificialanalysis.ai/models/grok-4", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-4", "benchmark_id": "terminal_bench", "score": 23.1, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "aa_lcr", "score": 68, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-4", "benchmark_id": "brumo_2025", "score": 95, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "cmimc_2025", "score": 83.75, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "hmmt_nov_2025", "score": 88.33, "reference_url": "https://matharena.ai/?comp=hmmt--hmmt_nov_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "math_500", "score": 98, "reference_url": "https://aitoolapp.com/grok-4/benchmarks/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "matharena_apex_2025", "score": 2.08, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "osworld", "score": 48, "reference_url": "https://aitoolapp.com/grok-4/benchmarks/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4", "benchmark_id": "smt_2025", "score": 85.85, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "swe_bench_pro", "score": 46.5, "reference_url": "https://artificialanalysis.ai/models/grok-4", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback)" }, { "model_id": "grok-4", "benchmark_id": "terminal_bench_1", "score": 39, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4", "benchmark_id": "usamo_2025", "score": 37.5, "reference_url": "https://x.ai/news/grok-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4 blog: grok-4=37.5 (no tools, no Heavy)." }, { "model_id": "grok-4.1", "benchmark_id": "chatbot_arena_elo", "score": 1483, "reference_url": "https://x.ai/news/grok-4-1", "audit_status": "needs_review", "audit_note": "x.ai/news/grok-4-1 returns 403 (Cloudflare blocked). Secondary sources confirm ELO=1483 citing official xAI announcement; primary URL inaccessible to bot.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "grok-4.1", "benchmark_id": "swe_bench_verified", "score": 50.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: SWE-bench Verified 50.6% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "grok-4.1", "benchmark_id": "aime_2025", "score": 91.9, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: AIME 2025 no tools 91.9% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "grok-4.1", "benchmark_id": "mmmu_pro", "score": 63.0, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 63.0% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "grok-4.1", "benchmark_id": "video_mmmu", "score": 87.6, "reference_url": "https://llm-stats.com/benchmarks/videommmu", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "gpqa_diamond", "score": 84.3, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 84.3% [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "grok-4.1", "benchmark_id": "hle", "score": 17.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/flash/ Performance table: HLE no tools 17.6% (Grok 4.1 Fast Reasoning) [Promoted to verified, prior unverified value deleted per R5d.]" }, { "model_id": "grok-4.1", "benchmark_id": "mmlu_pro", "score": 85.3, "reference_url": "https://www.sentisight.ai/gemini-3-vs-grok-4-1-vs-chatgpt-5-1/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "arc_agi_2", "score": 42, "reference_url": "https://www.analyticsvidhya.com/blog/2025/11/gemini-3-vs-grok-4-1-best-ai-of-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "brumo_2025", "score": 97.5, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.1", "benchmark_id": "cmimc_2025", "score": 84.38, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.1", "benchmark_id": "codeforces_rating", "score": 2650, "reference_url": "https://www.glbgpt.com/hub/chatgpt-5-1-vs-grok-4-1-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "frontiermath", "score": 38, "reference_url": "https://www.analyticsvidhya.com/blog/2025/11/gemini-3-vs-grok-4-1-best-ai-of-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "hmmt_nov_2025", "score": 93.33, "reference_url": "https://matharena.ai/?comp=hmmt--hmmt_nov_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.1", "benchmark_id": "humaneval", "score": 95, "reference_url": "https://www.analyticsvidhya.com/blog/2025/11/gemini-3-vs-grok-4-1-best-ai-of-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "ifeval", "score": 91, "reference_url": "https://www.sentisight.ai/gemini-3-vs-grok-4-1-vs-chatgpt-5-1/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "livebench", "score": 60, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.1", "benchmark_id": "livecodebench", "score": 82, "reference_url": "https://www.sentisight.ai/gemini-3-vs-grok-4-1-vs-chatgpt-5-1/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "math_500", "score": 98.5, "reference_url": "https://www.sentisight.ai/gemini-3-vs-grok-4-1-vs-chatgpt-5-1/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "matharena_apex_2025", "score": 5.21, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.1", "benchmark_id": "osworld", "score": 52, "reference_url": "https://www.analyticsvidhya.com/blog/2025/11/gemini-3-vs-grok-4-1-best-ai-of-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "simpleqa", "score": 55, "reference_url": "https://www.glbgpt.com/hub/chatgpt-5-1-vs-grok-4-1-2025/", "audit_status": "dropped", "notes": "Dropped: third-party random blog, unreliable source (R5h-drop-third-party-blog)" }, { "model_id": "grok-4.1", "benchmark_id": "smt_2025", "score": 84.6, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.20", "benchmark_id": "arc_agi_1", "score": 89.5, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "grok-4.20", "benchmark_id": "arc_agi_2", "score": 65.1, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "deepseek-r1", "benchmark_id": "gpqa_diamond", "score": 71.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=71.5.", "candidates": [ { "score": 73.0, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1 column): gpqa_diamond=73.0 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1", "benchmark_id": "math_500", "score": 97.3, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 97.3." }, { "model_id": "deepseek-r1", "benchmark_id": "aime_2024", "score": 79.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=79.8.", "candidates": [ { "score": 78.7, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1 column): aime_2024=78.7 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1", "benchmark_id": "mmlu", "score": 90.8, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 90.8." }, { "model_id": "deepseek-r1", "benchmark_id": "mmlu_pro", "score": 84.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=84.0.", "candidates": [ { "score": 85.6, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: deepseek-r1=85.6." } ] }, { "model_id": "deepseek-r1", "benchmark_id": "swe_bench_verified", "score": 49.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=49.2." }, { "model_id": "deepseek-r1", "benchmark_id": "livecodebench", "score": 65.9, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 65.9.", "candidates": [ { "score": 63.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek R1-0528 model card: deepseek-r1=63.5. (demoted: superseded by DS R1 paper)" } ] }, { "model_id": "deepseek-r1", "benchmark_id": "codeforces_rating", "score": 2029, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 2029.", "candidates": [ { "score": 1530, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek R1-0528 model card: deepseek-r1=1530. (demoted: superseded by DS R1 paper)" } ] }, { "model_id": "deepseek-r1", "benchmark_id": "arena_hard", "score": 92.3, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 92.3." }, { "model_id": "deepseek-r1", "benchmark_id": "ifeval", "score": 83.3, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 3 (page 9, R1 final): 83.3.", "candidates": [ { "score": 86.1, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: deepseek-r1=86.1." } ] }, { "model_id": "deepseek-r1", "benchmark_id": "simpleqa", "score": 30.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=30.1." }, { "model_id": "deepseek-r1", "benchmark_id": "humaneval", "score": 96.1, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "dropped", "notes": " | DROPPED: cell URL is arxiv html v1 of R1 paper but R1 paper Table 8 (main) and Table 15 (distill) do not report HumanEval. Ghost cell per R5g(a)." }, { "model_id": "deepseek-r1", "benchmark_id": "aime_2025", "score": 70.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=70.0.", "candidates": [ { "score": 65.0, "reference_url": "https://arxiv.org/abs/2504.13914", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Seed-Thinking-v1.5 paper Table 2: deepseek-r1=65.0." }, { "score": 70.4, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1 column): aime_2025=70.4 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1", "benchmark_id": "hle", "score": 8.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=8.5." }, { "model_id": "deepseek-r1", "benchmark_id": "hmmt_feb_2025", "score": 41.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1=41.7." }, { "model_id": "deepseek-r1", "benchmark_id": "chatbot_arena_elo", "score": 1398, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: deepseek-r1 (rank 108). ELO updates continuously; score reflects latest available." }, { "model_id": "deepseek-r1", "benchmark_id": "arc_agi_1", "score": 18.3, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: deepseek-r1=18.3." }, { "model_id": "deepseek-r1", "benchmark_id": "gsm8k", "score": 97.3, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "dropped", "notes": " | DROPPED: cell URL is arxiv html v1 of R1 paper but R1 paper Table 8 reports MATH-500 not GSM8K. Ghost cell per R5g(a)." }, { "model_id": "deepseek-r1", "benchmark_id": "arc_agi_2", "score": 1.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Deepseek R1 on leaderboard" }, { "model_id": "deepseek-r1", "benchmark_id": "brumo_2025", "score": 80.83, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 80.83%" }, { "model_id": "deepseek-r1", "benchmark_id": "critpt", "score": 1.1, "reference_url": "https://github.com/CritPt-Benchmark/CritPt", "audit_status": "verified", "reported_setting": "CritPt leaderboard, \u03b5=1.5, % tasks solved", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "deepseek-r1", "benchmark_id": "ifbench", "score": 38, "reference_url": "https://github.com/allenai/IFBench", "audit_status": "verified", "reported_setting": "IFBench score, 0-shot", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "deepseek-r1", "benchmark_id": "smt_2025", "score": 66.51, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "candidates": [ { "score": 66.98, "reference_url": "https://matharena.ai/", "source_type": "third-party-benchmark", "reported_setting": { "run": "official matharena" }, "notes": "Current matharena value 66.98%; BP has 66.51%. Matharena scores update as more runs are added." } ], "audit_status": "flagged", "notes": " | MISMATCH: BP=66.51, current matharena=66.98; added candidate" }, { "model_id": "deepseek-r1", "benchmark_id": "terminal_bench_1", "score": 5.7, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 5.7% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15)." }, { "model_id": "deepseek-r1", "benchmark_id": "usamo_2025", "score": 4.76, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 4.76%" }, { "model_id": "deepseek-v3", "benchmark_id": "mmlu", "score": 88.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=88.5.", "candidates": [ { "score": 85.7, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 85.7 (mc=false)." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "gpqa_diamond", "score": 59.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=59.1." }, { "model_id": "deepseek-v3", "benchmark_id": "math_500", "score": 90.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=90.2." }, { "model_id": "deepseek-v3", "benchmark_id": "swe_bench_verified", "score": 42.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=42.0." }, { "model_id": "deepseek-v3", "benchmark_id": "ifeval", "score": 86.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=86.1.", "candidates": [ { "score": 83.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 83.8 (mc=false)." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "arena_hard", "score": 85.5, "reference_url": "https://github.com/deepseek-ai/DeepSeek-V3", "audit_status": "verified", "reported_setting": "Arena-Hard open-ended generation, README Table", "source_type": "tech_report", "matches_canonical": true }, { "model_id": "deepseek-v3", "benchmark_id": "humaneval", "score": 82.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=82.6.", "candidates": [ { "score": 83.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 83.5 (mc=false)." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "codeforces_rating", "score": 1134, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "verified", "source_type": "academic_paper", "matches_canonical": true, "audit_note": "Table 4: DeepSeek-V3 Codeforces Rating=1134.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "deepseek-v3", "benchmark_id": "chatbot_arena_elo", "score": 1358, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: deepseek-v3 (rank 148). ELO updates continuously; score reflects latest available." }, { "model_id": "deepseek-v3", "benchmark_id": "gsm8k", "score": 89.3, "reference_url": "https://github.com/deepseek-ai/DeepSeek-V3", "audit_status": "verified", "reported_setting": "GSM8K, 8-shot EM, README Table", "source_type": "tech_report", "matches_canonical": true }, { "model_id": "deepseek-v3", "benchmark_id": "bigcodebench", "score": 50.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper: bigcodebench=50.0 (matches BP, re-sourced)" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "gpqa_diamond", "score": 68.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3-0324", "audit_status": "verified", "notes": " | Verified: HF V3-0324 model card shows 68.4" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "aime_2024", "score": 59.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3-0324", "audit_status": "verified", "notes": " | Verified: HF V3-0324 model card shows 59.4" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "livecodebench", "score": 49.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3-0324", "audit_status": "verified", "notes": " | Verified: HF V3-0324 model card shows 49.2" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "mmlu_pro", "score": 81.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3-0324", "audit_status": "verified", "notes": " | Verified: HF V3-0324 model card shows 81.2" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "aime_2025", "score": 46.7, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 46.7" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "arena_hard", "score": 39.9, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 39.9" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "hle", "score": 5.2, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 5.2" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "hmmt_feb_2025", "score": 27.5, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 27.5" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "ifeval", "score": 81.1, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 81.1" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "math_500", "score": 94.0, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 94.0" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "mmlu", "score": 89.4, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 89.4" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "simpleqa", "score": 27.7, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 27.7" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "swe_bench_verified", "score": 38.8, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "notes": " | Verified: Kimi K2 paper (arXiv 2507.20534) Table 3 shows 38.8" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "codeforces_rating", "score": 1650, "reference_url": "https://textcortex.com/post/deepseek-v3-review", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3-0324", "benchmark_id": "humaneval", "score": 85, "reference_url": "https://textcortex.com/post/deepseek-v3-review", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "aime_2025", "score": 87.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=87.5." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "aime_2024", "score": 91.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=91.4." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "gpqa_diamond", "score": 81.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=81.0." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "math_500", "score": 97.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "audit_status": "flagged", "notes": " | FLAGGED: HF R1-0528 model card does not contain MATH-500; 97.3 is from DeepSeek-R1 (original) model card" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "livecodebench", "score": 73.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=73.3." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "swe_bench_verified", "score": 57.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=57.6." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "mmlu_pro", "score": 85.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=85.0." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "simpleqa", "score": 27.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=27.8." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "hle", "score": 17.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=17.7." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "codeforces_rating", "score": 1930, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=1930." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "hmmt_feb_2025", "score": 79.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek R1-0528 model card: deepseek-r1-0528=79.4." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "chatbot_arena_elo", "score": 1422, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: deepseek-r1-0528 (rank 74). ELO updates continuously; score reflects latest available." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "frontiermath", "score": null, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "dropped", "notes": "R5g-a ghost cell: DeepSeek-R1-0528 not found in epoch.ai FrontierMath-2025-02-28-Private leaderboard. Present in other epoch tasks (Tier 4, GPQA, MATH) but absent from main FM leaderboard. Original value 10.0 was unverified and source URL cannot substantiate it." }, { "model_id": "deepseek-r1-0528", "benchmark_id": "ifeval", "score": 79.1, "reference_url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "audit_note": "Qwen3-235B card: Deepseek-R1-0528 IFEval=79.1.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "mmlu", "score": 90.8, "reference_url": "https://medium.com/@leucopsis/deepseeks-new-r1-0528-performance-analysis-and-benchmark-comparisons-6440eac858d6", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "arc_agi_1", "score": 21.2, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Deepseek R1 (05/28) on leaderboard" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "arc_agi_2", "score": 1.1, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Deepseek R1 (05/28) on leaderboard" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "brumo_2025", "score": 92.5, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 92.5%" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "cmimc_2025", "score": 69.38, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 69.38%" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "humaneval", "score": 85.6, "reference_url": "https://medium.com/@leucopsis/deepseeks-new-r1-0528-performance-analysis-and-benchmark-comparisons-6440eac858d6", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "imo_2025", "score": 6.85, "reference_url": "https://matharena.ai/?comp=imo--imo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 6.85%" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "matharena_apex_2025", "score": 1.04, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 1.04%" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "smt_2025", "score": 83.02, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 83.02%" }, { "model_id": "deepseek-r1-0528", "benchmark_id": "usamo_2025", "score": 30.06, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 30.06%" }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "aime_2024", "score": 72.6, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-32b=72.6." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "math_500", "score": 94.3, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-32b=94.3." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "gpqa_diamond", "score": 62.1, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-32b=62.1." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "livecodebench", "score": 57.2, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-32b=57.2." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "codeforces_rating", "score": 1691, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-32b=1691." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "aime_2025", "score": 72.6, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "dropped", "notes": " | DROPPED: cell URL arxiv html v1 of R1 paper, but R1 paper does NOT report distill-qwen-32b AIME 2025 (Table 13 only reports R1 main). Value 72.6 matches AIME 2024 score \u2192 likely scrape error. Ghost cell per R5g(a)." }, { "model_id": "deepseek-r1-distill-qwen-32b", "benchmark_id": "humaneval", "score": 82, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "dropped", "notes": " | DROPPED: cell URL arxiv html v1, but R1 paper does not report distill HumanEval. Ghost cell." }, { "model_id": "deepseek-r1-distill-qwen-14b", "benchmark_id": "aime_2024", "score": 69.7, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-14b=69.7." }, { "model_id": "deepseek-r1-distill-qwen-14b", "benchmark_id": "math_500", "score": 93.9, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-14b=93.9." }, { "model_id": "deepseek-r1-distill-qwen-14b", "benchmark_id": "codeforces_rating", "score": 1481, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-14b=1481." }, { "model_id": "deepseek-r1-distill-qwen-14b", "benchmark_id": "gpqa_diamond", "score": 59.1, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-14b=59.1." }, { "model_id": "deepseek-r1-distill-qwen-14b", "benchmark_id": "livecodebench", "score": 53.1, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-14b=53.1." }, { "model_id": "deepseek-r1-distill-qwen-7b", "benchmark_id": "aime_2024", "score": 55.5, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-7b=55.5." }, { "model_id": "deepseek-r1-distill-qwen-7b", "benchmark_id": "math_500", "score": 92.8, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-7b=92.8." }, { "model_id": "deepseek-r1-distill-qwen-7b", "benchmark_id": "gpqa_diamond", "score": 49.1, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-7b=49.1." }, { "model_id": "deepseek-r1-distill-qwen-7b", "benchmark_id": "livecodebench", "score": 37.6, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-7b=37.6." }, { "model_id": "deepseek-r1-distill-qwen-7b", "benchmark_id": "codeforces_rating", "score": 1189, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-7b=1189." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "aime_2024", "score": 28.9, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-1.5b=28.9." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "math_500", "score": 83.9, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-1.5b=83.9." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "gpqa_diamond", "score": 33.8, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-1.5b=33.8." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "livecodebench", "score": 13.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-qwen-1.5b: LiveCodeBench v5 13.2. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "codeforces_rating", "score": 954, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-qwen-1.5b=954." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "aime_2025", "score": 22.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-qwen-1.5b: AIME 2025 22.8. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "ifeval", "score": 39.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-qwen-1.5b: IFEval strict 39.9. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-qwen-1.5b", "benchmark_id": "arena_hard", "score": 4.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-qwen-1.5b: Arena-Hard 4.5. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "aime_2024", "score": 50.4, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-llama-8b=50.4." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "math_500", "score": 89.1, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-llama-8b=89.1." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "gpqa_diamond", "score": 49.0, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-llama-8b=49.0." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "livecodebench", "score": 42.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-llama-8b: LiveCodeBench v5 42.5. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "codeforces_rating", "score": 1205, "reference_url": "https://arxiv.org/abs/2501.12948", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek R1 paper Table 15: deepseek-r1-distill-llama-8b=1205." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "aime_2025", "score": 27.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-llama-8b: AIME 2025 27.8. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "ifeval", "score": 59.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-llama-8b: IFEval strict 59.0. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-llama-8b", "benchmark_id": "arena_hard", "score": 17.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 19 baseline column for deepseek-r1-distill-llama-8b: Arena-Hard 17.6. Third-party Qwen self-test, matches_canonical=false." }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "aime_2024", "score": 70.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): AIME 2024 70.0", "candidates": [ { "score": 69.3, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): aime_2024=69.3 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "math_500", "score": 94.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): MATH-500 94.5" }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "gpqa_diamond", "score": 65.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): GPQA-Diamond 65.2", "candidates": [ { "score": 66.2, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): gpqa_diamond=66.2 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "livecodebench", "score": 54.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): LiveCodeBench v5 54.5 [R5d: prior unverified value 57.5 from https://arxiv.org/abs/2501.12948 deleted.]", "candidates": [ { "score": 57.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): livecodebench=57.5 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "codeforces_rating", "score": 1633, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): CodeForces rating 1633" }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "aime_2025", "score": 56.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): AIME 2025 56.3 [R5d: prior unverified value 70 from https://arxiv.org/html/2501.12948v1 deleted.]", "candidates": [ { "score": 51.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): aime_2025=51.5 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "hmmt_feb_2025", "score": 33.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): hmmt_2025=33.3 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "humaneval", "score": 80, "reference_url": "https://arxiv.org/html/2501.12948v1", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2501.12948 has no standalone HumanEval table for distill models. Paper uses LiveCodeBench/Codeforces.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "deepseek-v3.2", "benchmark_id": "aime_2025", "score": 93.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=93.1.", "candidates": [ { "score": 89.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=89.3." }, { "score": 88, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=88." }, { "score": 93.1, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 89.3, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "gpqa_diamond", "score": 82.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=82.4.", "candidates": [ { "score": 79.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=79.9." }, { "score": 80, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=80." }, { "score": 82.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 79.9, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "mmlu_pro", "score": 85.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=85.0.", "candidates": [ { "score": 85.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" }, { "score": 85.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "livecodebench", "score": 83.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=83.3.", "candidates": [ { "score": 79, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=79." }, { "score": 83.3, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 74.1, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "codeforces_rating", "score": 2386, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=2386.", "candidates": [ { "score": 79.5, "reference_url": "https://llm-stats.com/benchmarks/codeforces", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 70.7, "reference_url": "https://llm-stats.com/benchmarks/codeforces", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "hle", "score": 25.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=25.1.", "candidates": [ { "score": 19.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=19.8." }, { "score": 25.1, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 19.8, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "swe_bench_verified", "score": 73.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=73.1.", "candidates": [ { "score": 67.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=67.8." }, { "score": 73.1, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 67.8, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "browsecomp", "score": 51.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=51.4.", "candidates": [ { "score": 40.1, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=40.1." }, { "score": 51.4, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 40.1, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "mmmu_pro", "score": 81.0, "reference_url": "https://www.bentoml.com/blog/the-complete-guide-to-deepseek-models-from-v3-to-r1-and-beyond", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3.2", "benchmark_id": "math_500", "score": 97.3, "reference_url": "https://artificialanalysis.ai/evaluations/math-500", "audit_status": "needs_review", "notes": "Reference URL is AA math-500 eval page, but deepseek-v3-2 is NOT present on that page; AA shows math_500=null for this model. Possible ghost score (R5g-a). Cannot verify 97.3% from AA source." }, { "model_id": "deepseek-v3.2", "benchmark_id": "frontiermath", "score": 22.1, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "harness": "Fireworks API" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: fireworks/deepseek-v3p2 (DeepSeek-V3.2 Thinking; Fireworks) = 22.1%. Canonical thinking mode matches. Note: epoch ran on Fireworks due to high API error rate from DeepSeek API, but results confirmed equivalent. BP had 8.0." }, { "model_id": "deepseek-v3.2", "benchmark_id": "simpleqa", "score": 35.0, "reference_url": "https://artificialanalysis.ai/models/deepseek-v3-2", "audit_status": "needs_review", "notes": "Reference URL is AA model page (deepseek-v3-2). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification.", "candidates": [ { "score": 97.1, "reference_url": "https://llm-stats.com/benchmarks/simpleqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "terminal_bench", "score": 46.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "Claude Code framework", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=46.4.", "candidates": [ { "score": 39.3, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: deepseek-v3.2=39.3." }, { "score": 39.3, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: deepseek-v3.2=39.3." }, { "score": 37.7, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=37.7." }, { "score": 39.6, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "source_type": "leaderboard", "notes": "tbench 2.0 Terminus 2 result; BP primary (46.4%) from HuggingFace model card differs." }, { "score": 46.4, "reference_url": "https://llm-stats.com/benchmarks/terminal-bench-2", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "aime_2024", "score": 93, "reference_url": "https://introl.com/blog/deepseek-v3-2-open-source-ai-cost-advantage", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3.2", "benchmark_id": "brumo_2025", "score": 96.67, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "cmimc_2025", "score": 83.75, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "hmmt_nov_2025", "score": 90.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=90.2." }, { "model_id": "deepseek-v3.2", "benchmark_id": "humaneval", "score": 90, "reference_url": "https://introl.com/blog/deepseek-v3-2-open-source-ai-cost-advantage", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3.2", "benchmark_id": "ifeval", "score": 89, "reference_url": "https://introl.com/blog/deepseek-v3-2-open-source-ai-cost-advantage", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3.2", "benchmark_id": "livebench", "score": 63.1, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): deepseek-v3.2-thinking avg=63.1. Canonical thinking mode matches. BP had 62.2." }, { "model_id": "deepseek-v3.2", "benchmark_id": "matharena_apex_2025", "score": 2.08, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "arc_agi_1", "score": 57.0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: Deepseek V3.2 Base LLM on leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "arc_agi_2", "score": 4.0, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: Deepseek V3.2 Base LLM on leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "mmlu", "score": 90.5, "reference_url": "https://introl.com/blog/deepseek-v3-2-open-source-ai-cost-advantage", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "deepseek-v3.2", "benchmark_id": "smt_2025", "score": 87.74, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "aime_2025", "score": 96.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=96.0." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "gpqa_diamond", "score": 85.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=85.7." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "livecodebench", "score": 88.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=88.7." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "codeforces_rating", "score": 2701, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=2701." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "hmmt_feb_2025", "score": 99.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=99.2." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "hle", "score": 30.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=30.6." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "swe_bench_verified", "score": 76.0, "reference_url": "https://arxiv.org/html/2512.02556v1", "audit_status": "flagged", "notes": " | FLAGGED: arxiv 2512.02556v1 is DeepSeek V3.2 paper; paper Table 3 has no SWE-bench for Speciale; 76.0 in paper = GPT-5 IMOAnswerBench score, not Speciale SWE-bench" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "aime_2024", "score": 96, "reference_url": "https://medium.com/@leucopsis/deepseek-v3-2-speciale-open-weights-reasoning-close-to-the-frontier-models-d43cd5da22d9", "audit_status": "dropped", "notes": "| R5h: medium.com blog post; no primary technical report citation; needs human review DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "brumo_2025", "score": 99.17, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 99.17%" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "cmimc_2025", "score": 94.38, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 94.38%" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "hmmt_nov_2025", "score": 94.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 3: V3.2-Speciale=94.4." }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "humaneval", "score": 91.5, "reference_url": "https://llm-stats.com/models/deepseek-v3.2-speciale", "audit_status": "dropped", "notes": "| R5h: llm-stats.com is an aggregator; no primary citation; needs human review DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "ifeval", "score": 88, "reference_url": "https://llm-stats.com/models/deepseek-v3.2-speciale", "audit_status": "dropped", "notes": "| R5h: llm-stats.com is an aggregator; no primary citation; needs human review DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "imo_2025", "score": 83.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "competition", "judge": "official", "harness": "official", "prompt_style": "generate-verify-refine", "temperature": "1.0", "context": "128K", "notes": "Used generate-verify-refine loop per Shao et al. 2025; 35/42=83.3%" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 4: Speciale IMO 2025 = 35/42 pts = 83.3% (Gold medal). Generate-verify-refine loop, max 128K tokens, no tools.", "candidates": [] }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "math_500", "score": 98, "reference_url": "https://llm-stats.com/models/deepseek-v3.2-speciale", "audit_status": "dropped", "notes": "| R5h: llm-stats.com is an aggregator; no primary citation; needs human review DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "matharena_apex_2025", "score": 9.38, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 9.38%" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "mmlu_pro", "score": 87.5, "reference_url": "https://llm-stats.com/models/deepseek-v3.2-speciale", "audit_status": "dropped", "notes": "| R5h: llm-stats.com is an aggregator; no primary citation; needs human review DROPPED (R5h): random third-party blog/aggregator, no primary trail", "rule_id": "R5h-third-party-blog" }, { "model_id": "deepseek-v3.2-speciale", "benchmark_id": "smt_2025", "score": 89.15, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "notes": " | Verified: matharena.ai shows 89.15%" }, { "model_id": "deepseek-v4-pro", "benchmark_id": "mmlu_pro", "score": 87.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 87.5.", "candidates": [ { "score": 87.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "gpqa_diamond", "score": 90.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 90.1.", "candidates": [ { "score": 90.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "hle", "score": 37.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 37.7.", "candidates": [ { "score": 48.2, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "livecodebench", "score": 93.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 93.5.", "candidates": [ { "score": 93.5, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "codeforces_rating", "score": 3206, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 3206.", "candidates": [ { "score": 100.0, "reference_url": "https://llm-stats.com/benchmarks/codeforces", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "swe_bench_verified", "score": 80.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 80.6.", "candidates": [ { "score": 80.6, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "swe_bench_pro", "score": 55.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 55.4.", "candidates": [ { "score": 55.4, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "terminal_bench", "score": 67.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 67.9.", "candidates": [ { "score": 67.9, "reference_url": "https://llm-stats.com/benchmarks/terminal-bench-2", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "browsecomp", "score": 83.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 83.4.", "candidates": [ { "score": 83.4, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "matharena_apex_2025", "score": 38.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "audit_status": "verified", "matches_canonical": true, "source_type": "model_card", "notes": "DeepSeek-V4-Pro card Table 2 (cross-mode): V4-Pro Max Apex=38.3, confirmed in frontier table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z", "reported_setting": { "mode": "thinking", "effort": "Max", "harness": "official", "judge": "rule-based", "sampling": "pass@1", "temperature": "default", "tools": "none", "prompt_style": "default" }, "candidates": [ { "score": 90.2, "reference_url": "https://llm-stats.com/benchmarks/matharena-apex", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "gdpval_aa_elo", "score": 1554, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 1554." }, { "model_id": "deepseek-v4-flash", "benchmark_id": "mmlu_pro", "score": 86.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 86.2.", "candidates": [ { "score": 86.2, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "gpqa_diamond", "score": 88.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 88.1.", "candidates": [ { "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "hle", "score": 34.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 34.8.", "candidates": [ { "score": 45.1, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "livecodebench", "score": 91.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 91.6.", "candidates": [ { "score": 91.6, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "codeforces_rating", "score": 3052, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 3052.", "candidates": [ { "score": 100.0, "reference_url": "https://llm-stats.com/benchmarks/codeforces", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "swe_bench_verified", "score": 79.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 79.0.", "candidates": [ { "score": 79.0, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "swe_bench_pro", "score": 52.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 52.6.", "candidates": [ { "score": 52.6, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-pro", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "terminal_bench", "score": 56.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 56.9.", "candidates": [ { "score": 56.9, "reference_url": "https://llm-stats.com/benchmarks/terminal-bench-2", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "browsecomp", "score": 73.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 73.2.", "candidates": [ { "score": 73.2, "reference_url": "https://llm-stats.com/benchmarks/browsecomp", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "matharena_apex_2025", "score": 33.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash", "audit_status": "verified", "matches_canonical": true, "source_type": "model_card", "notes": "DeepSeek-V4-Flash card Table 2 (cross-mode comparison): V4-Flash Max Apex=33.0.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z", "reported_setting": { "mode": "thinking", "effort": "Max", "harness": "official", "judge": "rule-based", "sampling": "pass@1", "temperature": "default", "tools": "none", "prompt_style": "default" }, "candidates": [ { "score": 85.7, "reference_url": "https://llm-stats.com/benchmarks/matharena-apex", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "gdpval_aa_elo", "score": 1395, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 1395." }, { "model_id": "qwen3-235b", "benchmark_id": "aime_2025", "score": 81.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: AIME 2025 81.5", "candidates": [ { "score": 92.3, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 70.3, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "gpqa_diamond", "score": 71.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: GPQA Diamond 71.1", "candidates": [ { "score": 81.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 77.5, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "livecodebench", "score": 70.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: LiveCodeBench v5 (2024.10-2025.02) 70.7" }, { "model_id": "qwen3-235b", "benchmark_id": "codeforces_rating", "score": 2056, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: CodeForces rating 2056 (98.2 percentile)" }, { "model_id": "qwen3-235b", "benchmark_id": "arena_hard", "score": 95.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: Arena-Hard 95.6" }, { "model_id": "qwen3-235b", "benchmark_id": "aime_2024", "score": 85.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: AIME 2024 85.7" }, { "model_id": "qwen3-235b", "benchmark_id": "swe_bench_verified", "score": 69.6, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "verified", "reported_setting": "Qwen3 blog performance table, thinking mode", "source_type": "official_blog", "matches_canonical": true, "notes": "Confirmed via multiple independent web sources (69.6%)" }, { "model_id": "qwen3-235b", "benchmark_id": "hmmt_feb_2025", "score": 62.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-R1-0528", "audit_status": "verified", "matches_canonical": true, "source_type": "model_card", "notes": "DeepSeek-R1-0528 HF card comparison table shows Qwen3-235B-A22B HMMT Feb 25=62.5.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "qwen3-235b", "benchmark_id": "hle", "score": 15.43, "reference_url": "https://scale.com/leaderboard/humanitys_last_exam", "audit_status": "dropped", "notes": " [Dropped: Model not found in current Scale.com HLE leaderboard (50 entries, 2026-04-29 scrape). Ghost cell per R5g-a-ghost-cell.]", "candidates": [ { "score": 18.2, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "mmlu_pro", "score": 79.8, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value 79.8 from arxiv:2505.09388 is from Non-thinking variant (Table 12), but qwen3-235b canonical = Thinking. MMLU-Pro not reported in Table 11. Cell value is wrong-variant.", "candidates": [ { "score": 84.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 83.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "math_500", "score": 98.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking: MATH-500 98.0. [R5d: prior unverified value 98.2 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-235b", "benchmark_id": "chatbot_arena_elo", "score": 1410, "reference_url": "https://lmarena.ai/", "audit_status": "needs_review", "audit_note": "lmarena.ai is a dynamic leaderboard; ELO values change over time. Cannot verify static value 1410 from snapshot-dependent source via automated audit.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "qwen3-235b", "benchmark_id": "gsm8k", "score": 94.39, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value 94.39 from arxiv:2505.09388 Table 3 (Base column). GSM8K is not reported in Table 11 (Thinking). Cell value is wrong-variant (Base, not Thinking)." }, { "model_id": "qwen3-235b", "benchmark_id": "humaneval", "score": 90.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "verified", "reported_setting": "Qwen3 blog performance table, thinking mode", "source_type": "official_blog", "matches_canonical": true, "notes": "Confirmed via official Qwen3 blog and web search (90.0%)" }, { "model_id": "qwen3-235b", "benchmark_id": "ifeval", "score": 83.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking: IFEval strict prompt 83.4. [R5d: prior unverified value 87.8 from https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507 deleted.]", "candidates": [ { "score": 88.7, "reference_url": "https://llm-stats.com/benchmarks/ifeval", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 87.8, "reference_url": "https://llm-stats.com/benchmarks/ifeval", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "mmlu", "score": 87.81, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value 87.81 from arxiv:2505.09388 Table 3 (Base column, MMLU 5-shot), but qwen3-235b is_reasoning=true \u2192 canonical = Thinking variant. MMLU is not reported in Table 11 (Thinking). Cell value is wrong-variant." }, { "model_id": "qwen3-235b", "benchmark_id": "simpleqa", "score": 13.2, "reference_url": "https://arxiv.org/abs/2507.20534", "audit_status": "verified", "source_type": "tech_report", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none (benchmark-specified)", "sampling": "pass@1", "judge": "rule-based", "harness": "Kimi team evaluation (official API)", "prompt_style": "default", "temperature": "unified (Kimi team setting)", "context": "8192 max output tokens" }, "notes": "Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking (vendor-recommended no-thinking regime), 8192 max output tokens.", "candidates": [ { "score": 54.3, "reference_url": "https://llm-stats.com/benchmarks/simpleqa", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "aa_lcr", "score": 67, "reference_url": "https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning", "audit_status": "verified", "source_type": "third_party", "notes": "ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA LCR eval page: qwen3-235b-a22b-instruct-2507-reasoning lcr=0.670 \u2192 67.0%. AA slug: qwen3-235b-a22b-instruct-2507-reasoning.", "reported_setting": { "mode": "thinking", "effort": "default (reasoning variant)", "sampling": "pass@1", "harness": "AA standard evaluation", "notes": "Per AA: qwen3-235b-a22b-instruct-2507-reasoning lcr=67%" } }, { "model_id": "qwen3-235b", "benchmark_id": "arc_agi_1", "score": 11, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: Qwen3-235b-a22b Instruct (25/07) on leaderboard as Base LLM (non-thinking); canonical is thinking", "candidates": [ { "score": 41.8, "reference_url": "https://llm-stats.com/benchmarks/arc-agi", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "arc_agi_2", "score": 1.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": false, "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "notes": "arcprize.org leaderboard audit: Qwen3-235b-a22b Instruct (25/07) on leaderboard as Base LLM (non-thinking); canonical is thinking" }, { "model_id": "qwen3-235b", "benchmark_id": "matharena_apex_2025", "score": 5.21, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "qwen3-235b", "benchmark_id": "terminal_bench_1", "score": 6.6, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 6.6% on tbench.ai Terminal-Bench 1.0 leaderboard (Terminus 1 scaffold, 2025-05-15)." }, { "model_id": "qwen3-32b", "benchmark_id": "gpqa_diamond", "score": 68.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: GPQA-Diamond 68.4" }, { "model_id": "qwen3-32b", "benchmark_id": "aime_2025", "score": 72.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2025 72.9. [R5d: prior unverified value 76.67 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "livecodebench", "score": 65.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveCodeBench v5 65.7. [R5d: prior unverified value 63.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "arena_hard", "score": 93.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Arena-Hard 93.8 (Qwen self-report; differs from arena-hard-auto github). [R5d: prior unverified value 53.3 from https://github.com/lmarena/arena-hard-auto deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "aime_2024", "score": 81.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 81.4" }, { "model_id": "qwen3-32b", "benchmark_id": "codeforces_rating", "score": 1977, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: CodeForces 1977 (97.7%). [R5d: prior unverified value 2020 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "gsm8k", "score": 93.4, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-32b", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "verified", "reported_setting": "Qwen3 blog performance table, thinking mode", "source_type": "official_blog", "matches_canonical": true, "notes": "Confirmed via official Qwen3 blog (85.0%)" }, { "model_id": "qwen3-32b", "benchmark_id": "ifeval", "score": 85.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: IFEval strict prompt 85.0. [R5d: prior unverified value 83.0 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "math_500", "score": 97.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MATH-500 97.2. [R5d: prior unverified value 96.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-32b", "benchmark_id": "mmlu", "score": 83.61, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-32b", "benchmark_id": "mmlu_pro", "score": 70.0, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value from Non-thinking column (Table 12/14/16/18/20). Canonical = Thinking. Wrong-variant." }, { "model_id": "qwen3-32b", "benchmark_id": "ifbench", "score": 37.3, "reference_url": "https://github.com/allenai/IFBench", "audit_status": "verified", "reported_setting": "IFBench score, 0-shot", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "qwen3-32b", "benchmark_id": "terminal_bench_1", "score": 15.5, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 15.5% on tbench.ai Terminal-Bench 1.0 leaderboard (TerminalAgent scaffold, 2025-07-31)." }, { "model_id": "qwen3-4b", "benchmark_id": "aime_2025", "score": 65.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2025 65.6" }, { "model_id": "qwen3-4b", "benchmark_id": "math_500", "score": 97.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: MATH-500 97.0" }, { "model_id": "qwen3-4b", "benchmark_id": "codeforces_rating", "score": 1671, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: CodeForces 1671 (92.8%)" }, { "model_id": "qwen3-4b", "benchmark_id": "arena_hard", "score": 76.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Arena-Hard 76.6. [R5d: prior unverified value 13.2 from https://github.com/lmarena/arena-hard-auto deleted.]" }, { "model_id": "qwen3-4b", "benchmark_id": "gpqa_diamond", "score": 55.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: GPQA-Diamond 55.9. [R5d: prior unverified value 51.2 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-4b", "benchmark_id": "aime_2024", "score": 73.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 73.8" }, { "model_id": "qwen3-4b", "benchmark_id": "gsm8k", "score": 87.79, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-4b", "benchmark_id": "hmmt_feb_2025", "score": 55.5, "reference_url": "https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507", "audit_status": "dropped", "notes": " | DROPPED: BP value from Qwen3-X-Thinking-2507 (post-July fine-tune), but BP model release_date=2025-05-15. Wrong-variant (later checkpoint)." }, { "model_id": "qwen3-4b", "benchmark_id": "humaneval", "score": 75.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "needs_review", "notes": "Blog tables are images; web search gives approximate ~61-63% vs claimed 75.0; cannot confirm exact value. R5g(c)" }, { "model_id": "qwen3-4b", "benchmark_id": "ifeval", "score": 81.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: IFEval 81.9 (May 2025 release; replaces 87.4 from Thinking-2507). [R5d: prior unverified value 87.4 from https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507 deleted.]" }, { "model_id": "qwen3-4b", "benchmark_id": "livecodebench", "score": 54.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveCodeBench v5 54.2 (replaces 55.2 from Thinking-2507). [R5d: prior unverified value 55.2 from https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507 deleted.]" }, { "model_id": "qwen3-4b", "benchmark_id": "mmlu", "score": 72.99, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-4b", "benchmark_id": "mmlu_pro", "score": 74.0, "reference_url": "https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507", "audit_status": "dropped", "notes": " | DROPPED: BP value from Qwen3-X-Thinking-2507 (post-July fine-tune), but BP model release_date=2025-05-15. Wrong-variant (later checkpoint)." }, { "model_id": "qwen3-0.6b", "benchmark_id": "math_500", "score": 77.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: MATH-500 77.6" }, { "model_id": "qwen3-0.6b", "benchmark_id": "mmlu", "score": 52.81, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-0.6b", "benchmark_id": "mmlu_pro", "score": 24.74, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-0.6b", "benchmark_id": "gpqa_diamond", "score": 27.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: GPQA-Diamond 27.9" }, { "model_id": "qwen3-0.6b", "benchmark_id": "aime_2024", "score": 10.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 10.7" }, { "model_id": "qwen3-0.6b", "benchmark_id": "aime_2025", "score": 15.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2025 15.1" }, { "model_id": "qwen3-0.6b", "benchmark_id": "ifeval", "score": 59.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: IFEval 59.2" }, { "model_id": "qwen3-0.6b", "benchmark_id": "arena_hard", "score": 8.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: Arena-Hard 8.5" }, { "model_id": "qwen3-0.6b", "benchmark_id": "livecodebench", "score": 12.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: LiveCodeBench v5 12.3" }, { "model_id": "qwen3-0.6b", "benchmark_id": "codeforces_rating", "score": 800, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "needs_review", "notes": "Web search: 'no official Codeforces ELO given for Qwen3-0.6B'; value 800 not confirmed in any accessible text source. R5g(c)" }, { "model_id": "qwen3-0.6b", "benchmark_id": "gsm8k", "score": 59.59, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-0.6b", "benchmark_id": "humaneval", "score": 45.0, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Qwen3 paper uses EvalPlus (avg of HumanEval+MBPP variants), no standalone HumanEval table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "qwen3-1.7b", "benchmark_id": "mmlu", "score": 61.0, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-1.7b", "benchmark_id": "mmlu_pro", "score": 56.68, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=56.68. (third-party self-test by Liquid AI)", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "official_blog" }, { "model_id": "qwen3-1.7b", "benchmark_id": "math_500", "score": 93.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: MATH-500 93.4", "candidates": [ { "score": 81.92, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=81.92. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "gpqa_diamond", "score": 40.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: GPQA-Diamond 40.1", "candidates": [ { "score": 36.93, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=36.93. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "aime_2024", "score": 48.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 48.3" }, { "model_id": "qwen3-1.7b", "benchmark_id": "aime_2025", "score": 36.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2025 36.8", "candidates": [ { "score": 36.27, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=36.27. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "ifeval", "score": 72.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: IFEval 72.5", "candidates": [ { "score": 71.65, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=71.65. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "arena_hard", "score": 43.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: Arena-Hard 43.1" }, { "model_id": "qwen3-1.7b", "benchmark_id": "livecodebench", "score": 33.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: LiveCodeBench v5 33.2" }, { "model_id": "qwen3-1.7b", "benchmark_id": "codeforces_rating", "score": 1200, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "needs_review", "notes": "Web search: 'no official Codeforces ELO given for Qwen3-1.7B'; value 1200 not confirmed in any accessible text source. R5g(c)" }, { "model_id": "qwen3-1.7b", "benchmark_id": "gsm8k", "score": 85.6, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=85.6. (third-party self-test by Liquid AI)", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "official_blog" }, { "model_id": "qwen3-1.7b", "benchmark_id": "humaneval", "score": 60.0, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Same as above: paper has no standalone HumanEval result.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:17:14Z" }, { "model_id": "qwen3-8b", "benchmark_id": "gpqa_diamond", "score": 62.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: GPQA-Diamond 62.0. [R5d: prior unverified value 63.3 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "mmlu", "score": 76.89, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-8b", "benchmark_id": "mmlu_pro", "score": 56.73, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-8b", "benchmark_id": "aime_2024", "score": 76.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 76.0" }, { "model_id": "qwen3-8b", "benchmark_id": "aime_2025", "score": 67.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2025 67.3. [R5d: prior unverified value 67.3 from https://huggingface.co/deepseek-ai/DeepSeek-R1-0528 deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "arena_hard", "score": 85.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Arena-Hard 85.8. [R5d: prior unverified value 76.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "codeforces_rating", "score": 1785, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: CodeForces 1785 (95.6%). [R5d: prior unverified value 1850 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "gsm8k", "score": 89.84, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-8b", "benchmark_id": "humaneval", "score": 82.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "verified", "reported_setting": "Qwen3 blog performance table, thinking mode", "source_type": "official_blog", "matches_canonical": true, "notes": "Confirmed via official Qwen3 blog (82.0%)" }, { "model_id": "qwen3-8b", "benchmark_id": "ifeval", "score": 85.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: IFEval 85.0. [R5d: prior unverified value 80.0 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "livecodebench", "score": 57.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveCodeBench v5 57.5. [R5d: prior unverified value 48.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "math_500", "score": 97.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MATH-500 97.4. [R5d: prior unverified value 94.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-8b", "benchmark_id": "ifbench", "score": 35, "reference_url": "https://github.com/allenai/IFBench", "audit_status": "verified", "reported_setting": "IFBench score, 0-shot", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "qwen3-14b", "benchmark_id": "mmlu_pro", "score": 61.03, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-14b", "benchmark_id": "mmlu", "score": 81.05, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-14b", "benchmark_id": "arena_hard", "score": 91.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Arena-Hard 91.7. [R5d: prior unverified value 85.5 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-14b", "benchmark_id": "aime_2024", "score": 79.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2024 79.3. [R5d: prior unverified value 75.0 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-14b", "benchmark_id": "aime_2025", "score": 70.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2025 70.4. [R5d: prior unverified value 72.0 from https://arxiv.org/abs/2505.09388 deleted.]" }, { "model_id": "qwen3-14b", "benchmark_id": "codeforces_rating", "score": 1766, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: CodeForces 1766 (95.3%). [R5d: prior unverified value 1900 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-14b", "benchmark_id": "gpqa_diamond", "score": 64.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: GPQA-Diamond 64.0" }, { "model_id": "qwen3-14b", "benchmark_id": "gsm8k", "score": 92.49, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-14b", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "needs_review", "notes": "Blog tables are images; value 85.0 not confirmed with exact precision from accessible text sources. R5g(c)" }, { "model_id": "qwen3-14b", "benchmark_id": "livecodebench", "score": 63.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveCodeBench v5 63.5. [R5d: prior unverified value 55.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-14b", "benchmark_id": "math_500", "score": 96.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MATH-500 96.8. [R5d: prior unverified value 95.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "gpqa_diamond", "score": 65.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: GPQA-Diamond 65.8" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "codeforces_rating", "score": 1974, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: CodeForces 1974 (97.7%)" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "arena_hard", "score": 91.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Table 13/15/17/19 Thinking: Arena-Hard 91.0" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "aime_2024", "score": 80.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2024 80.4. [R5d: prior unverified value 78.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "aime_2025", "score": 70.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: AIME 2025 70.9 (May 2025 release; replaces 85.0 from Thinking-2507 fine-tune). [R5d: prior unverified value 85.0 from https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507 deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "gsm8k", "score": 91.81, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "hmmt_feb_2025", "score": 71.4, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507", "audit_status": "dropped", "notes": " | DROPPED: BP value from Qwen3-X-Thinking-2507 (post-July fine-tune), but BP model release_date=2025-05-15. Wrong-variant (later checkpoint)." }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "humaneval", "score": 82.0, "reference_url": "https://qwenlm.github.io/blog/qwen3/", "audit_status": "needs_review", "notes": "Blog tables are images; value 82.0 approximately consistent but exact confirmation unavailable. R5g(c)" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "ifeval", "score": 86.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: IFEval 86.5. [R5d: prior unverified value 88.9 from https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507 deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "livecodebench", "score": 62.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveCodeBench v5 62.6. [R5d: prior unverified value 66.0 from https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507 deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "math_500", "score": 98.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MATH-500 98.0. [R5d: prior unverified value 96.0 from https://qwenlm.github.io/blog/qwen3/ deleted.]" }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "mmlu", "score": 81.38, "reference_url": "https://arxiv.org/abs/2505.09388", "audit_status": "dropped", "notes": " | DROPPED: BP value sourced from Base model column (Table 3-8) but model is_reasoning=true \u2192 canonical = Thinking variant. Wrong-variant cell." }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "mmlu_pro", "score": 80.9, "reference_url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507", "audit_status": "dropped", "notes": " | DROPPED: BP value from Qwen3-X-Thinking-2507 (post-July fine-tune), but BP model release_date=2025-05-15. Wrong-variant (later checkpoint)." }, { "model_id": "qwq-32b", "benchmark_id": "aime_2024", "score": 79.5, "reference_url": "https://qwenlm.github.io/blog/qwq-32b/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: AIME 2024 79.5" }, { "model_id": "qwq-32b", "benchmark_id": "gpqa_diamond", "score": 65.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: GPQA-Diamond 65.6 (Qwen3 T13; supersedes preview 65.2) [R5d: prior unverified value 65.2 from https://qwenlm.github.io/blog/qwq-32b-preview/ deleted.]", "candidates": [ { "score": 59.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (qwq-32b column): gpqa_diamond=59.5 (alt measurement, mc=false)" } ] }, { "model_id": "qwq-32b", "benchmark_id": "math_500", "score": 98.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: MATH-500 98.0 (Qwen3 T13; supersedes preview 90.6) [R5d: prior unverified value 90.6 from https://qwenlm.github.io/blog/qwq-32b-preview/ deleted.]" }, { "model_id": "qwq-32b", "benchmark_id": "livecodebench", "score": 62.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: LiveCodeBench v5 62.7 (Qwen3 tech report Table 13 baseline column; supersedes earlier preview blog 50.0) [R5d: prior unverified value 50.0 from https://qwenlm.github.io/blog/qwq-32b-preview/ deleted.]", "candidates": [ { "score": 63.4, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (qwq-32b column): livecodebench=63.4 (alt measurement, mc=false)" } ] }, { "model_id": "qwq-32b", "benchmark_id": "arena_hard", "score": 89.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: Arena-Hard 89.5 (Qwen3 T13; supersedes lmarena github 60.9) [R5d: prior unverified value 60.9 from https://github.com/lmarena/arena-hard-auto deleted.]" }, { "model_id": "qwq-32b", "benchmark_id": "codeforces_rating", "score": 1982, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: CodeForces rating 1982 (Qwen3 T13; supersedes 1316 from DeepSeek R1 arxiv comparison) [R5d: prior unverified value 1316 from https://arxiv.org/html/2501.12948v1 deleted.]" }, { "model_id": "qwq-32b", "benchmark_id": "aime_2025", "score": 69.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: AIME 2025 69.5 (Qwen3 T13) [R5d: prior unverified value 50.0 from https://matharena.ai/models/qwen_qwq_preview deleted.]", "candidates": [ { "score": 65.8, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (qwq-32b column): aime_2025=65.8 (alt measurement, mc=false)" } ] }, { "model_id": "qwq-32b", "benchmark_id": "ifeval", "score": 83.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: IFEval strict prompt 83.9 [R5d: prior unverified value 80.0 from https://qwenlm.github.io/blog/qwq-32b/ deleted.]", "candidates": [ { "score": 85.8, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 85.8 (mc=false)." } ] }, { "model_id": "qwq-32b", "benchmark_id": "mmlu_pro", "score": 62.0, "reference_url": "https://qwenlm.github.io/blog/qwq-32b/", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL points to qwenlm.github.io/blog/qwq-32b/ but that blog does not report MMLU-Pro; not in Qwen3 tech report Table 13 either. Ghost cell per R5g(a)." }, { "model_id": "qwq-32b", "benchmark_id": "bigcodebench", "score": 44.6, "reference_url": "https://bigcode-bench.github.io/", "audit_status": "verified", "reported_setting": "BigCodeBench Complete Instruct pass@1", "source_type": "leaderboard", "matches_canonical": true, "notes": "Source entry: QwQ-32B-Preview (2024-11-28); regular QwQ-32B has no instruct score in leaderboard" }, { "model_id": "qwq-32b", "benchmark_id": "hmmt_feb_2025", "score": 47.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (qwq-32b column): hmmt_2025=47.5 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "qwq-32b", "benchmark_id": "humaneval", "score": 78, "reference_url": "https://medium.com/towards-agi/qwq-32b-preview-benchmarks-revolutionizing-ai-reasoning-capabilities-b2014a00c208", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwq-32b", "benchmark_id": "mmlu", "score": 88.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct: mmlu=88.4. [R5d: prior unverified value 79 from https://medium.com/towards-agi/qwq-32b-preview-benchmarks-revolutionizing-ai-reasoning-capabilities-b2014a00c208 deleted.]" }, { "model_id": "qwq-32b", "benchmark_id": "swe_bench_verified", "score": 35, "reference_url": "https://medium.com/towards-agi/qwq-32b-preview-benchmarks-revolutionizing-ai-reasoning-capabilities-b2014a00c208", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwen3.5-397b", "benchmark_id": "gpqa_diamond", "score": 88.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: GPQA Diamond 88.4 (was 92.4 = GPT5.2 col). [R5d: prior unverified value 92.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "swe_bench_verified", "score": 76.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: SWE-bench Verified 76.4 (was 80.0 = GPT5.2). [R5d: prior unverified value 80.0 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "mmlu_pro", "score": 87.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MMLU-Pro 87.8 (was 87.4 = GPT5.2). [R5d: prior unverified value 87.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "livecodebench", "score": 83.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: LiveCodeBench v6 83.6 (was 87.7 = GPT5.2). [R5d: prior unverified value 87.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "ifeval", "score": 92.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: IFEval 92.6 (was 94.8 = GPT5.2). [R5d: prior unverified value 94.8 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "aime_2025", "score": 95.0, "reference_url": "https://venturebeat.com/technology/alibabas-qwen-3-5-397b-a17/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwen3.5-397b", "benchmark_id": "humaneval", "score": 92.0, "reference_url": "https://venturebeat.com/technology/alibabas-qwen-3-5-397b-a17/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwen3.5-397b", "benchmark_id": "math_500", "score": 98.0, "reference_url": "https://venturebeat.com/technology/alibabas-qwen-3-5-397b-a17/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwen3.5-397b", "benchmark_id": "mmlu", "score": 88.6, "reference_url": "https://automatio.ai/models/qwen3-5-397b-a17b", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "qwen3.5-397b", "benchmark_id": "aime_2024", "score": 94, "reference_url": "https://artificialanalysis.ai/models/qwen3-5-397b-a17b", "audit_status": "needs_review", "notes": "Reference URL is AA model page (qwen3-5-397b-a17b). AA shows aime=null for all qwen3-5 models; AIME benchmark not yet evaluated by AA for this model. Cannot verify 94 from AA source." }, { "model_id": "qwen3.5-397b", "benchmark_id": "aime_2026", "score": 91.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: AIME 2026 91.3 (was 96.7 = GPT5.2). [R5d: prior unverified value 96.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "codeforces_rating", "score": 2200, "reference_url": "https://artificialanalysis.ai/models/qwen3-5-397b-a17b", "audit_status": "needs_review", "notes": "Reference URL is AA model page (qwen3-5-397b-a17b). AA does not publish codeforces_rating data; field is not present in AA model data. Cannot verify 2200 from AA source. Original source may be Qwen tech report." }, { "model_id": "qwen3.5-397b", "benchmark_id": "hle", "score": 28.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: HLE 28.7 (was 35.5 = GPT5.2). [R5d: prior unverified value 35.5 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "ifbench", "score": 76.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: IFBench 76.5 (was 75.4 = GPT5.2). [R5d: prior unverified value 75.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "mathvision", "score": 88.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MathVision 88.6 (HF Vision section; supersedes 90.3 from artificialanalysis.ai). [R5d: prior unverified value 90.3 from https://artificialanalysis.ai/models/qwen3-5-397b-a17b deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "mmmu", "score": 85.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MMMU 85.0" }, { "model_id": "qwen3.5-397b", "benchmark_id": "simpleqa", "score": 35, "reference_url": "https://artificialanalysis.ai/models/qwen3-5-397b-a17b", "audit_status": "needs_review", "notes": "Reference URL is AA model page (qwen3-5-397b-a17b). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification." }, { "model_id": "qwen3.5-397b", "benchmark_id": "mmmlu", "score": 88.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MMMLU 88.5 (was 89.5 = GPT5.2). [R5d: prior unverified value 89.5 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "swe_bench_multilingual", "score": 69.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: SWE-bench Multilingual 69.3 (was 72.0 = GPT5.2). [R5d: prior unverified value 72.0 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "imo_answerbench", "score": 80.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: IMOAnswerBench 80.9 (was 86.3 = GPT5.2). [R5d: prior unverified value 86.3 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "terminal_bench", "score": 52.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: Terminal-Bench 2 52.5 (was 54.0 = GPT5.2). [R5d: prior unverified value 54.0 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "browsecomp", "score": 69.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: BrowseComp 69.0 simple context-folding (was 65.8 = GPT5.2). [R5d: prior unverified value 65.8 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]", "candidates": [ { "score": 78.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "notes": "discard-all context management" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table: BrowseComp 78.6 with discard-all context management strategy (alt setting)." } ] }, { "model_id": "qwen3.5-397b", "benchmark_id": "aa_lcr", "score": 68.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: AA-LCR 68.7 (was 72.7 = GPT5.2). [R5d: prior unverified value 72.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "hmmt_feb_2025", "score": 94.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: HMMT Feb 25 94.8 (was 99.4 = GPT5.2). [R5d: prior unverified value 99.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.5-397b", "benchmark_id": "hmmt_nov_2025", "score": 92.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: HMMT Nov 25 92.7 (was 100.0 = GPT5.2). [R5d: prior unverified value 100.0 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted \u2014 was scraped from wrong column (likely GPT5.2 column).]" }, { "model_id": "qwen3.6-plus", "benchmark_id": "swe_bench_verified", "score": 78.8, "reference_url": "https://qwen.ai/blog?id=qwen3.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Qwen3.6 blog: qwen3.6-plus=78.8 (vs Claude Opus 4.5=80.9, Kimi-K2.5=76.8, GLM5=77.8, Qwen3.5-397B=76.2)." }, { "model_id": "qwen3.6-plus", "benchmark_id": "swe_bench_pro", "score": 56.6, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: qwen3.6-plus=56.6." }, { "model_id": "qwen3.6-plus", "benchmark_id": "terminal_bench", "score": 61.6, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: qwen3.6-plus=61.6." }, { "model_id": "qwen3.6-plus", "benchmark_id": "hle", "score": 28.8, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: qwen3.6-plus=28.8." }, { "model_id": "qwen3.6-plus", "benchmark_id": "mmlu_pro", "score": 88.5, "reference_url": "https://qwen.ai/blog?id=qwen3.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Qwen3.6 blog: qwen3.6-plus=88.5 (vs Claude Opus 4.5=89.5, Kimi-K2.5=87.1, GLM5=85.7, Qwen3.5-397B=87.8)." }, { "model_id": "qwen3.6-plus", "benchmark_id": "ifbench", "score": 74.2, "reference_url": "https://qwen.ai/blog?id=qwen3.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Qwen3.6 blog: qwen3.6-plus=74.2 (vs Claude Opus 4.5=58.0, Kimi-K2.5=70.2, GLM5=72.3, Qwen3.5-397B=76.5)." }, { "model_id": "qwen3.6-plus", "benchmark_id": "aa_lcr", "score": 68.3, "reference_url": "https://qwen.ai/blog?id=qwen3.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Qwen3.6 blog: qwen3.6-plus=68.3 (vs Claude Opus 4.5=74.0, Kimi-K2.5=70.0, GLM5=63.3, Qwen3.5-397B=68.7)." }, { "model_id": "qwen3.6-plus", "benchmark_id": "gpqa_diamond", "score": 90.4, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: qwen3.6-plus=90.4." }, { "model_id": "qwen3.6-plus", "benchmark_id": "aime_2026", "score": 95.1, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: qwen3.6-plus=95.1." }, { "model_id": "kimi-k2", "benchmark_id": "gpqa_diamond", "score": 75.1, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: GPQA-Diamond Avg@8 75.1", "candidates": [ { "score": 74.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: kimi-k2=74.2." }, { "score": 77, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=77." }, { "score": 75.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" }, { "score": 75.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "swe_bench_verified", "score": 65.8, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SWE-bench Verified Agentic-Single-Attempt 65.8", "candidates": [ { "score": 69.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=69.2." }, { "score": 65.8, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "livecodebench", "score": 53.7, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: LiveCodeBench v6 Pass@1 53.7", "candidates": [ { "score": 61, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=61." }, { "score": 53.7, "reference_url": "https://llm-stats.com/benchmarks/livecodebench", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "math_500", "score": 97.4, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MATH-500 97.4", "candidates": [ { "score": 97.4, "reference_url": "https://llm-stats.com/benchmarks/math-500", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 97.4, "reference_url": "https://llm-stats.com/benchmarks/math-500", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "aime_2025", "score": 49.5, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: AIME 2025 Avg@64 49.5", "candidates": [ { "score": 51.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: kimi-k2=51.0." }, { "score": 57, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=57." }, { "score": 49.5, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 49.5, "reference_url": "https://llm-stats.com/benchmarks/aime-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "aime_2024", "score": 69.6, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: AIME 2024 Avg@64 69.6", "candidates": [ { "score": 69.6, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" }, { "score": 69.6, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "swe_bench_pro", "score": 27.67, "reference_url": "https://scale.com/leaderboard/swe_bench_verified", "audit_status": "verified" }, { "model_id": "kimi-k2", "benchmark_id": "arena_hard", "score": 54.5, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: Arena Hard v2.0 Hard Prompt 54.5" }, { "model_id": "kimi-k2", "benchmark_id": "hle", "score": 4.7, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: HLE 4.7", "candidates": [ { "score": 7.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: kimi-k2=7.9." }, { "score": 4.7, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 4.7, "reference_url": "https://llm-stats.com/benchmarks/humanity's-last-exam", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "https://github.com/MoonshotAI/Kimi-K2", "audit_status": "dropped", "notes": " | DROPPED (R5g-a-ghost-cell): not in official source", "candidates": [ { "score": 93.3, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "ifeval", "score": 89.8, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: IFEval Prompt Strict 89.8", "candidates": [ { "score": 89.8, "reference_url": "https://llm-stats.com/benchmarks/ifeval", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 89.8, "reference_url": "https://llm-stats.com/benchmarks/ifeval", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "mmlu", "score": 89.5, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MMLU EM 89.5", "candidates": [ { "score": 89.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" }, { "score": 89.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "mmlu_pro", "score": 81.1, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MMLU-Pro EM 81.1 [R5d: prior unverified value 87.1 from https://huggingface.co/moonshotai/Kimi-K2.5 deleted.]", "candidates": [ { "score": 81.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: kimi-k2=81.9." }, { "score": 82, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=82." }, { "score": 81.1, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 81.1, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "simpleqa", "score": 31.0, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SimpleQA Correct 31.0", "candidates": [ { "score": 31.0, "reference_url": "https://llm-stats.com/benchmarks/simpleqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 31.0, "reference_url": "https://llm-stats.com/benchmarks/simpleqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "terminal_bench", "score": 44.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: kimi-k2=44.5." }, { "model_id": "kimi-k2", "benchmark_id": "codeforces_rating", "score": 1780, "reference_url": "https://medium.com/data-science-in-your-pocket/kimi-k2-benchmarks-explained-5b25dd6d3a3e", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: medium.com)" }, { "model_id": "kimi-k2", "benchmark_id": "osworld", "score": 38, "reference_url": "https://arxiv.org/html/2507.20534v1", "audit_status": "dropped", "notes": " | DROPPED (R5g-a-ghost-cell): not in official source" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "gpqa_diamond", "score": 84.5, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: GPQA-Diamond no-tools 84.5 [R5d: prior unverified value 84.5 from https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf deleted.]" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "swe_bench_verified", "score": 71.3, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: SWE-bench Verified w/ tools 71.3" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "hle", "score": 23.9, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: HLE Text-only no tools 23.9 (canonical=tools=none). Note: BP previously had 44.9 from venturebeat = w/ tools \u2014 promoted no-tools to primary. [R5d: prior unverified value 23.9 from https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf deleted.]", "candidates": [ { "score": 44.9, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "web+code+browse", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Kimi K2 Thinking blog cross-model table: HLE Text-only w/ tools 44.9 (alternative tool setting)." } ] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "browsecomp", "score": 60.2, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: BrowseComp w/ tools 60.2" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "aime_2025", "score": 94.5, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: AIME 2025 no-tools avg@32 94.5" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "mmlu_pro", "score": 84.6, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: MMLU-Pro 84.6" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "livecodebench", "score": 83.1, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: LiveCodeBench v6 no-tools 83.1 [R5d: prior unverified value 82.6 from https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf deleted.]", "candidates": [ { "score": 82.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "notes": "DS V3.2 tech report Table 2: 82.6. Third-party self-test. Primary (83.1) from Kimi official." } ] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "arc_agi_1", "score": 12.0, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "audit_status": "dropped", "notes": " | DROPPED (R5g-a-ghost-cell): not in official source" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "math_500", "score": 97.0, "reference_url": "https://venturebeat.com/ai/moonshots-kimi-k2-thinking/", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: venturebeat/felloai)" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "simpleqa", "score": 35.0, "reference_url": "https://venturebeat.com/ai/moonshots-kimi-k2-thinking/", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: venturebeat/felloai)" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "terminal_bench", "score": 47.1, "reference_url": "https://moonshotai.github.io/Kimi-K2/thinking.html", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Kimi K2 Thinking blog cross-model table: Terminal-Bench w/ simulated tools (Terminus-2 + JSON parser) 47.1 [R5d: prior unverified value 35.7 from https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf deleted.]", "candidates": [ { "score": 35.7, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: kimi-k2-thinking=35.7." } ] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "aime_2024", "score": 94, "reference_url": "https://felloai.com/new-chinese-model-kimi-k2-thinking-ranks-1-in-multiple-benchmarks/", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: venturebeat/felloai)" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "brumo_2025", "score": 93.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "cmimc_2025", "score": 91.88, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "codeforces_rating", "score": 2150, "reference_url": "https://felloai.com/new-chinese-model-kimi-k2-thinking-ranks-1-in-multiple-benchmarks/", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: felloai)" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "hmmt_nov_2025", "score": 89.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: kimi-k2-thinking=89.2." }, { "model_id": "kimi-k2-thinking", "benchmark_id": "humaneval", "score": 92, "reference_url": "https://felloai.com/new-chinese-model-kimi-k2-thinking-ranks-1-in-multiple-benchmarks/", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: felloai)" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "matharena_apex_2025", "score": 0, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "notes": " | DROPPED (R5h-third-party-blog: placeholder)", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "smt_2025", "score": 91.04, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "hle", "score": 30.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: HLE Full no-tools 30.1", "candidates": [ { "score": 31.5, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: kimi-k2.5=31.5." }, { "score": 31.5, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: kimi-k2.5=31.5." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "browsecomp", "score": 60.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: BrowseComp w/ tools 60.6", "candidates": [ { "score": 74.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: kimi-k2.5=74.9." }, { "score": 74.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 74.9 (3rd-party Qwen self-test)." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "swe_bench_verified", "score": 76.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: SWE-Bench Verified 76.8" }, { "model_id": "kimi-k2.5", "benchmark_id": "mmmu_pro", "score": 78.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MMMU-Pro 78.5" }, { "model_id": "kimi-k2.5", "benchmark_id": "video_mmmu", "score": 86.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: Video-MMMU 86.6" }, { "model_id": "kimi-k2.5", "benchmark_id": "aime_2025", "score": 96.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: AIME 2025 96.1" }, { "model_id": "kimi-k2.5", "benchmark_id": "gpqa_diamond", "score": 87.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: GPQA-Diamond 87.6" }, { "model_id": "kimi-k2.5", "benchmark_id": "livecodebench", "score": 85.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: LiveCodeBench v6 85.0" }, { "model_id": "kimi-k2.5", "benchmark_id": "mmlu", "score": 92.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "audit_status": "dropped", "notes": " | DROPPED: BP value 92.0 from HF moonshotai/Kimi-K2.5 \u2014 but K2.5 model card only reports MMLU-Pro 87.1, NOT MMLU. Source mislabel/scrape error." }, { "model_id": "kimi-k2.5", "benchmark_id": "mmlu_pro", "score": 87.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MMLU-Pro 87.1" }, { "model_id": "kimi-k2.5", "benchmark_id": "mmmu", "score": 84.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 84.3 (3rd-party Qwen self-test). [R5d: prior unverified value 84.0 from https://www.kimi.com/blog/kimi-k2-5.html deleted.]" }, { "model_id": "kimi-k2.5", "benchmark_id": "terminal_bench", "score": 50.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: Terminal Bench 2.0 50.8" }, { "model_id": "kimi-k2.5", "benchmark_id": "aime_2024", "score": 96.1, "reference_url": "https://www.kimi.com/blog/kimi-k2-5.html", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Source shows AIME 2025 = 96.1 (avg@32, 96k tokens), not AIME 2024. Wrong benchmark attribution.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:00:56Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "arc_agi_1", "score": 65.3, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Kimi K2.5 on leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "arc_agi_2", "score": 11.8, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Kimi K2.5 on leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "brumo_2025", "score": 98.33, "reference_url": "https://matharena.ai/?comp=brumo--brumo_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "cmimc_2025", "score": 91.25, "reference_url": "https://matharena.ai/?comp=cmimc--cmimc_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "codeforces_rating", "score": 2350, "reference_url": "https://www.kimi.com/blog/kimi-k2-5.html", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in kimi.com/blog/kimi-k2-5.html benchmark table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:00:56Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "frontiermath", "score": 28, "reference_url": "https://kimi-k25.com/blog/kimi-k2-5-benchmark", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "audit_note": "kimi-k25.com is a third-party fan site, not official moonshotai. Scores unverifiable.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:01:27Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "hmmt_nov_2025", "score": 91.1, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: kimi-k2.5=91.1." }, { "model_id": "kimi-k2.5", "benchmark_id": "humaneval", "score": 95, "reference_url": "https://kimi-k25.com/blog/kimi-k2-5-benchmark", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "audit_note": "kimi-k25.com is a third-party fan site, not official moonshotai. Scores unverifiable.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:01:27Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "ifeval", "score": 93.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifeval 93.9 (3rd-party Qwen self-test). [R5d: prior unverified value 90 from https://kimi-k25.com/blog/kimi-k2-5-benchmark deleted.]" }, { "model_id": "kimi-k2.5", "benchmark_id": "math_500", "score": 98, "reference_url": "https://www.kimi.com/blog/kimi-k2-5.html", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in kimi.com/blog/kimi-k2-5.html benchmark table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:00:56Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "matharena_apex_2025", "score": 8.85, "reference_url": "https://matharena.ai/?comp=apex--apex_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "mathvision", "score": 84.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MathVision 84.2" }, { "model_id": "kimi-k2.5", "benchmark_id": "osworld", "score": 63.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card: kimi-k2.5=63.3." }, { "model_id": "kimi-k2.5", "benchmark_id": "simpleqa", "score": 45, "reference_url": "https://kimi-k25.com/blog/kimi-k2-5-benchmark", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "audit_note": "kimi-k25.com is a third-party fan site, not official moonshotai. Scores unverifiable.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:01:27Z" }, { "model_id": "kimi-k2.5", "benchmark_id": "smt_2025", "score": 90.57, "reference_url": "https://matharena.ai/?comp=smt--smt_2025", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "kimi-k2.5", "benchmark_id": "swe_bench_pro", "score": 50.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: SWE-Bench Pro 50.7", "candidates": [ { "score": 53.8, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: kimi-k2.5=53.8." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "swe_bench_multilingual", "score": 73.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: SWE-Bench Multilingual 73.0" }, { "model_id": "kimi-k2.5", "benchmark_id": "charxiv_reasoning", "score": 77.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: CharXiv RQ 77.5" }, { "model_id": "kimi-k2.5", "benchmark_id": "aa_lcr", "score": 70.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: AA-LCR 70.0" }, { "model_id": "kimi-k2.5", "benchmark_id": "scicode", "score": 48.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: SciCode 48.7" }, { "model_id": "kimi-k2.6", "benchmark_id": "hle", "score": 36.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 36.4.", "candidates": [ { "score": 34.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: kimi-k2.6=34.7." } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "aime_2026", "score": 96.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: AIME 2026 96.4" }, { "model_id": "kimi-k2.6", "benchmark_id": "gpqa_diamond", "score": 90.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 90.5." }, { "model_id": "kimi-k2.6", "benchmark_id": "terminal_bench", "score": 66.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 66.7." }, { "model_id": "kimi-k2.6", "benchmark_id": "swe_bench_pro", "score": 58.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 58.6." }, { "model_id": "kimi-k2.6", "benchmark_id": "swe_bench_verified", "score": 80.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 80.2." }, { "model_id": "kimi-k2.6", "benchmark_id": "livecodebench", "score": 89.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 89.6." }, { "model_id": "kimi-k2.6", "benchmark_id": "browsecomp", "score": 83.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 83.2." }, { "model_id": "kimi-k2.6", "benchmark_id": "mmmu_pro", "score": 79.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MMMU-Pro 79.4" }, { "model_id": "kimi-k2.6", "benchmark_id": "scicode", "score": 52.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: SciCode 52.2" }, { "model_id": "kimi-k2.6", "benchmark_id": "mathvision", "score": 87.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MathVision 87.4" }, { "model_id": "glm-4.6", "benchmark_id": "swe_bench_verified", "score": 68.0, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=68.0." }, { "model_id": "glm-4.6", "benchmark_id": "gpqa_diamond", "score": 81.0, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=81.0.", "candidates": [ { "score": 78, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: glm-4.6=78." } ] }, { "model_id": "glm-4.6", "benchmark_id": "hle", "score": 17.2, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=17.2." }, { "model_id": "glm-4.6", "benchmark_id": "aime_2025", "score": 93.9, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=93.9.", "candidates": [ { "score": 86, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: glm-4.6=86." } ] }, { "model_id": "glm-4.6", "benchmark_id": "livecodebench", "score": 70, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: glm-4.6=70." }, { "model_id": "glm-4.6", "benchmark_id": "mmlu_pro", "score": 83.2, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=83.2.", "candidates": [ { "score": 83, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: glm-4.6=83." } ] }, { "model_id": "glm-4.6", "benchmark_id": "terminal_bench", "score": 24.5, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.6=24.5.", "candidates": [ { "score": 40.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: glm-4.6=40.5." } ] }, { "model_id": "glm-4.6", "benchmark_id": "humaneval", "score": 82, "reference_url": "https://llm-stats.com/models/glm-4.7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "glm-4.6", "benchmark_id": "ifeval", "score": 82, "reference_url": "https://llm-stats.com/models/glm-4.7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "glm-4.6", "benchmark_id": "mmlu", "score": 85, "reference_url": "https://llm-stats.com/models/glm-4.7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "glm-4.7", "benchmark_id": "aime_2025", "score": 95.7, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.7=95.7." }, { "model_id": "glm-4.7", "benchmark_id": "gpqa_diamond", "score": 85.7, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: glm-4.7=85.7." }, { "model_id": "glm-4.7", "benchmark_id": "hle", "score": 24.8, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: glm-4.7=24.8." }, { "model_id": "glm-4.7", "benchmark_id": "swe_bench_verified", "score": 73.8, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: glm-4.7=73.8." }, { "model_id": "glm-4.7", "benchmark_id": "livecodebench", "score": 84.9, "reference_url": "https://vertu.com/lifestyle/glm-4-7-released/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "glm-4.7", "benchmark_id": "chatbot_arena_elo", "score": 1443, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: glm-4.7 (rank 48). ELO updates continuously; score reflects latest available." }, { "model_id": "glm-4.7", "benchmark_id": "browsecomp", "score": 52.0, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: glm-4.7=52.0." }, { "model_id": "glm-4.7", "benchmark_id": "frontiermath", "score": 2.4, "reference_url": "https://epoch.ai/benchmarks/frontiermath", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "harness": "Together API" }, "notes": "epoch.ai FrontierMath-2025-02-28-Private: zai-org/GLM-4.7 (GLM-4.7 Together) = 2.4%. Canonical thinking mode matches. BP had 20.0 (unverified; likely sourced from wrong model \u2014 canonical notes reference GLM-5 blog, but model is GLM-4.7)." }, { "model_id": "glm-4.7", "benchmark_id": "mmlu_pro", "score": 84.3, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog: glm-4.7=84.3." }, { "model_id": "glm-4.7", "benchmark_id": "terminal_bench", "score": 41.0, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog: glm-4.7=41.0." }, { "model_id": "glm-4.7", "benchmark_id": "livebench", "score": 57.3, "reference_url": "https://livebench.ai/", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "n/a" }, "notes": "livebench.ai table_2026_01_08 (latest as of 2026-04-28): glm-4.7 avg=57.3. Canonical thinking mode matches. BP had 58.1." }, { "model_id": "glm-4.7", "benchmark_id": "simpleqa", "score": 32, "reference_url": "https://llm-stats.com/models/glm-4.7", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "glm-5.1", "benchmark_id": "hle", "score": 34.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 34.7.", "candidates": [ { "score": 31.0, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: glm-5.1=31.0." } ] }, { "model_id": "glm-5.1", "benchmark_id": "aime_2026", "score": 95.3, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: glm-5.1=95.3." }, { "model_id": "glm-5.1", "benchmark_id": "gpqa_diamond", "score": 86.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 86.2." }, { "model_id": "glm-5.1", "benchmark_id": "swe_bench_pro", "score": 58.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 58.4." }, { "model_id": "glm-5.1", "benchmark_id": "terminal_bench", "score": 63.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 63.5." }, { "model_id": "glm-5.1", "benchmark_id": "browsecomp", "score": 79.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 79.3.", "candidates": [ { "score": 68.0, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: glm-5.1=68.0." } ] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "aime_2025", "score": 98.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=98.3." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "gpqa_diamond", "score": 88.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=88.9." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "swe_bench_verified", "score": 76.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=76.5." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "browsecomp", "score": 77.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=77.3." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "video_mmmu", "score": 86.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "audit_status": "verified", "rule_id": "R5h-third-party-blog", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=86.9.", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "mmmu", "score": 85.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=85.4." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "mathvision", "score": 88.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=88.8." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "codeforces_rating", "score": 3020, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=3020." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "hle", "score": 32.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=32.4." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "livecodebench", "score": 88.0, "reference_url": "https://www.digitalapplied.com/blog/bytedance-seed-2-doubao-ai-model-benchmarks-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "mmlu_pro", "score": 87.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=87.0." }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "aime_2024", "score": 98.3, "reference_url": "https://www.digitalapplied.com/blog/bytedance-seed-2-doubao-ai-model-benchmarks-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "humaneval", "score": 92, "reference_url": "https://www.digitalapplied.com/blog/bytedance-seed-2-doubao-ai-model-benchmarks-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "ifeval", "score": 88.5, "reference_url": "https://www.digitalapplied.com/blog/bytedance-seed-2-doubao-ai-model-benchmarks-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "mmlu", "score": 90, "reference_url": "https://www.digitalapplied.com/blog/bytedance-seed-2-doubao-ai-model-benchmarks-guide", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "terminal_bench", "score": 55.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=55.8.", "candidates": [] }, { "model_id": "mistral-small-3.1", "benchmark_id": "mmlu", "score": 80.62, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot CoT", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "HF model card Table 1: MMLU = 80.62%." }, { "model_id": "mistral-small-3.1", "benchmark_id": "humaneval", "score": 88.41, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "HF model card Table 1: HumanEval = 88.41%. BP previously had 88.99 (secondary blog)." }, { "model_id": "mistral-small-3.1", "benchmark_id": "ifeval", "score": 82.75, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Mistral does NOT report IFEval in HF MC or blog. BP value 82.75 came from venturebeat secondary blog." }, { "model_id": "mistral-small-3.1", "benchmark_id": "mmlu_pro", "score": 66.76, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot CoT", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "HF model card Table 1: MMLU Pro (5-shot CoT) = 66.76%." }, { "model_id": "mistral-small-3.1", "benchmark_id": "gpqa_diamond", "score": 45.96, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "5-shot CoT", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "HF model card Table 1: GPQA Diamond (5-shot CoT) = 45.96%. BP previously had 39.0 (secondary blog)." }, { "model_id": "mistral-small-3.1", "benchmark_id": "livecodebench", "score": 30.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Mistral does NOT report LiveCodeBench in HF MC or blog. BP value 30.0 came from venturebeat secondary blog." }, { "model_id": "mistral-small-3.1", "benchmark_id": "math_500", "score": 81.0, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Mistral does NOT report MATH-500. HF Table 1 has only 'MATH' = 69.30%. BP value 81.0 came from venturebeat secondary blog (unverifiable). Use the new 'math' cell instead." }, { "model_id": "mistral-small-3.1", "benchmark_id": "aime_2024", "score": 22, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Mistral does NOT report AIME in HF MC or blog. BP value 22 came from analyticsvidhya secondary blog." }, { "model_id": "mistral-small-3.1", "benchmark_id": "simpleqa", "score": 10.43, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "audit_status": "verified", "source_type": "model_card", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "notes": "HF model card Table 1: SimpleQA TotalAcc = 10.43%. BP previously had 18 (secondary blog)." }, { "model_id": "mistral-small-3.1", "benchmark_id": "swe_bench_verified", "score": 28, "reference_url": "", "audit_status": "dropped", "source_type": "", "reported_setting": {}, "matches_canonical": false, "notes": "Mistral does NOT report SWE-bench Verified in HF MC or blog. BP value 28 came from analyticsvidhya secondary blog." }, { "model_id": "mistral-medium-3", "benchmark_id": "humaneval", "score": 92.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 92.1." }, { "model_id": "mistral-medium-3", "benchmark_id": "arena_hard", "score": 97.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 97.1." }, { "model_id": "mistral-medium-3", "benchmark_id": "math_500", "score": 91.0, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 91.0." }, { "model_id": "mistral-medium-3", "benchmark_id": "gpqa_diamond", "score": 57.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 57.1." }, { "model_id": "mistral-medium-3", "benchmark_id": "ifeval", "score": 89.4, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 89.4." }, { "model_id": "mistral-medium-3", "benchmark_id": "mmlu", "score": 87.0, "reference_url": "https://apidog.com/blog/mistral-medium-3/", "audit_status": "dropped", "notes": "DROPPED 2026-04-29T02:20: Not in Mistral Medium 3 official blog table; previous ref was secondary/third-party." }, { "model_id": "mistral-medium-3", "benchmark_id": "livecodebench", "score": 42, "reference_url": "https://artificialanalysis.ai/models/mistral-medium-3-1", "audit_status": "dropped", "notes": "DROPPED 2026-04-29T02:20: Not in Mistral Medium 3 official blog table; previous ref was secondary/third-party." }, { "model_id": "mistral-medium-3", "benchmark_id": "mmlu_pro", "score": 77.2, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 77.2." }, { "model_id": "mistral-medium-3", "benchmark_id": "simpleqa", "score": 25, "reference_url": "https://artificialanalysis.ai/models/mistral-medium-3-1", "audit_status": "dropped", "notes": "DROPPED 2026-04-29T02:20: Not in Mistral Medium 3 official blog table; previous ref was secondary/third-party." }, { "model_id": "mistral-medium-3", "benchmark_id": "swe_bench_verified", "score": 32, "reference_url": "https://artificialanalysis.ai/models/mistral-medium-3-1", "audit_status": "dropped", "notes": "DROPPED 2026-04-29T02:20: Not in Mistral Medium 3 official blog table; previous ref was secondary/third-party." }, { "model_id": "mistral-large-3", "benchmark_id": "mmlu_pro", "score": 73.11, "reference_url": "https://intuitionlabs.ai/articles/mistral-large-3-moe-llm-explained", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "math_500", "score": 93.6, "reference_url": "https://intuitionlabs.ai/articles/mistral-large-3-moe-llm-explained", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "aime_2025", "score": 85.0, "reference_url": "https://www.analyticsvidhya.com/blog/2025/12/mistral-large-3/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "swe_bench_verified", "score": 68.0, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "gpqa_diamond", "score": 43.9, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "humaneval", "score": 92.0, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "ifeval", "score": 86.0, "reference_url": "https://intuitionlabs.ai/articles/mistral-large-3-moe-llm-explained", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "livecodebench", "score": 66.0, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "mmlu", "score": 85.5, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "aime_2024", "score": 53.3, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "chatbot_arena_elo", "score": 1418, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "codeforces_rating", "score": 1550, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "mistral-large-3", "benchmark_id": "simpleqa", "score": 30, "reference_url": "https://medium.com/@leucopsis/mistral-large-3-2512-review-7788c779a5e4", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "codestral-25.01", "benchmark_id": "humaneval", "score": 86.6, "reference_url": "https://blog.getbind.co/2025/01/15/mistral-codestral-25-01/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "codestral-25.01", "benchmark_id": "livecodebench", "score": 37.9, "reference_url": "https://blog.getbind.co/2025/01/15/mistral-codestral-25-01/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "codestral-25.01", "benchmark_id": "math_500", "score": 74.0, "reference_url": "https://blog.getbind.co/2025/01/15/mistral-codestral-25-01/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "codestral-25.01", "benchmark_id": "swe_bench_verified", "score": 35.0, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "codestral-25.01", "benchmark_id": "codeforces_rating", "score": 1480, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "devstral-2", "benchmark_id": "swe_bench_verified", "score": 72.2, "reference_url": "https://mistral.ai/news/devstral-2-vibe-cli", "audit_status": "verified", "source_type": "official_blog", "matches_canonical": null, "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:05:16Z", "audit_note": "Blog says: Devstral 2 (123B) achieves 72.2% on SWE-bench Verified." }, { "model_id": "devstral-2", "benchmark_id": "humaneval", "score": 88.0, "reference_url": "https://mistral.ai/news/devstral-2-vibe-cli", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not mentioned in mistral.ai/news/devstral-2-vibe-cli. Blog only mentions SWE-bench Verified.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:05:16Z" }, { "model_id": "devstral-2", "benchmark_id": "livecodebench", "score": 60.0, "reference_url": "https://mistral.ai/news/devstral-2-vibe-cli", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not mentioned in mistral.ai/news/devstral-2-vibe-cli. Blog only mentions SWE-bench Verified.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:05:16Z" }, { "model_id": "devstral-2", "benchmark_id": "math_500", "score": 72.0, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "devstral-2", "benchmark_id": "gpqa_diamond", "score": 45.0, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "phi-4", "benchmark_id": "mmlu", "score": 84.8, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): mmlu=84.8 (re-sourced from https://arxiv.org/abs/2412.08905, matches BP value)" }, { "model_id": "phi-4", "benchmark_id": "gpqa_diamond", "score": 56.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): gpqa_diamond=56.1 (re-sourced from https://arxiv.org/abs/2412.08905, matches BP value)" }, { "model_id": "phi-4", "benchmark_id": "humaneval", "score": 82.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): humaneval=82.6 (re-sourced from https://arxiv.org/abs/2412.08905, matches BP value)" }, { "model_id": "phi-4", "benchmark_id": "arena_hard", "score": 75.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): arena_hard=75.4 (re-sourced from https://arxiv.org/abs/2412.08905, matches BP value)", "candidates": [ { "score": 68.1, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "notes": "Phi-4-reasoning paper Table 2 (phi-4 column): arena_hard=68.1 (alt measurement, mc=true)" } ] }, { "model_id": "phi-4", "benchmark_id": "math_500", "score": 80.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): math_500=80.4 (re-sourced from https://arxiv.org/abs/2412.08905, matches BP value)" }, { "model_id": "phi-4", "benchmark_id": "ifeval", "score": 63.0, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): ifeval=63.0. [R5d: prior unverified value 79.3 from https://arxiv.org/html/2412.08905v1 deleted.]", "candidates": [ { "score": 62.3, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "notes": "Phi-4-reasoning paper Table 2 (phi-4 column): ifeval=62.3 (alt measurement, mc=true)" } ] }, { "model_id": "phi-4", "benchmark_id": "aime_2024", "score": 18, "reference_url": "https://huggingface.co/microsoft/phi-4", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "phi-4 HF card (microsoft/phi-4) benchmarks: MMLU, GPQA-D, HumanEval, MGSM, DROP, SimpleQA \u2014 NO AIME benchmark in card.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "phi-4", "benchmark_id": "bigcodebench", "score": 45.5, "reference_url": "https://bigcode-bench.github.io/", "audit_status": "verified", "reported_setting": "BigCodeBench Complete Instruct pass@1", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "phi-4", "benchmark_id": "livecodebench", "score": 38.5, "reference_url": "https://huggingface.co/microsoft/phi-4", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "phi-4 HF card (microsoft/phi-4) benchmarks: MMLU, GPQA-D, HumanEval, MGSM \u2014 NO LiveCodeBench in card.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "phi-4", "benchmark_id": "mmlu_pro", "score": 70.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): mmlu_pro=70.4. [R5d: prior unverified value 68 from https://huggingface.co/microsoft/phi-4 deleted.]", "candidates": [ { "score": 71.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "notes": "Phi-4-reasoning paper Table 2 (phi-4 column): mmlu_pro=71.5 (alt measurement, mc=true)" } ] }, { "model_id": "phi-4", "benchmark_id": "simpleqa", "score": 3.0, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): simpleqa=3.0. [R5d: prior unverified value 15 from https://huggingface.co/microsoft/phi-4 deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "aime_2025", "score": 63.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): aime_2025=63.1. [R5d: prior unverified value 71.4 from https://www.analyticsvidhya.com/blog/2025/05/phi-4-reasoning-models/ deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "gpqa_diamond", "score": 67.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): gpqa_diamond=67.1. [R5d: prior unverified value 63.4 from https://ashishchadha11944.medium.com/microsofts-phi-4-reasoning-models/ deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "livecodebench", "score": 53.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): livecodebench=53.8 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning", "benchmark_id": "math_500", "score": 95.0, "reference_url": "https://www.microsoft.com/en-us/research/articles/phi-reasoning/", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Microsoft phi-reasoning blog covers AIME 25/HMMT/OmniMath/GPQA/LiveCodeBench only; MATH-500 not mentioned in article or associated arxiv 2504.21318 paper.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "phi-4-reasoning", "benchmark_id": "aime_2024", "score": 74.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): aime_2024=74.6. [R5d: prior unverified value 70.0 from https://www.microsoft.com/en-us/research/wp-content/uploads/2025/04/phi_4_reasoning.pdf deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "mmlu_pro", "score": 74.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning column): mmlu_pro=74.3. [R5d: prior unverified value 72.0 from https://huggingface.co/microsoft/Phi-4-reasoning deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "humaneval", "score": 85.0, "reference_url": "https://huggingface.co/microsoft/Phi-4-reasoning", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Phi-4-reasoning HF card shows HumanEvalPlus=92.9; no standalone HumanEval=85.0 present. HumanEvalPlus != HumanEval.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "phi-4-reasoning", "benchmark_id": "codeforces_rating", "score": 1736, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): codeforces_rating=1736. [R5d: prior unverified value 1500 from https://huggingface.co/microsoft/Phi-4-reasoning deleted.]" }, { "model_id": "phi-4-reasoning", "benchmark_id": "hmmt_feb_2025", "score": 43.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): hmmt_2025=43.8 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning", "benchmark_id": "ifeval", "score": 83.4, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning column): ifeval=83.4 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning", "benchmark_id": "arena_hard", "score": 73.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning column): arena_hard=73.3 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "aime_2025", "score": 78.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): aime_2025=78.0. [R5d: prior unverified value 77.7 from https://huggingface.co/microsoft/Phi-4-reasoning-plus deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "gpqa_diamond", "score": 69.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): gpqa_diamond=69.3 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "livecodebench", "score": 53.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): livecodebench=53.1. [R5d: prior unverified value 68.8 from https://ashishchadha11944.medium.com/microsofts-phi-4-reasoning-models/ deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "math_500", "score": 96.4, "reference_url": "https://huggingface.co/microsoft/Phi-4-reasoning-plus", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not in model card. Card shows AIME, GPQA-D, OmniMath, LiveCodeBench, HumanEvalPlus, MMLUPro \u2014 no MATH-500.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:58:09Z" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "humaneval", "score": 88.0, "reference_url": "https://huggingface.co/microsoft/Phi-4-reasoning-plus", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Card shows HumanEvalPlus=92.3 (different benchmark). The 88.0 in table is GPT-4o HumanEvalPlus score, not phi-4-reasoning-plus. Source does not confirm HumanEval=88 for this model.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:58:09Z" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "aime_2024", "score": 81.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): aime_2024=81.3. [R5d: prior unverified value 70 from https://www.microsoft.com/en-us/research/wp-content/uploads/2025/04/phi_4_reasoning.pdf deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "arena_hard", "score": 79.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning-plus column): arena_hard=79.0 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "codeforces_rating", "score": 1723, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): codeforces_rating=1723. [R5d: prior unverified value 1500 from https://huggingface.co/microsoft/Phi-4-reasoning deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "hmmt_feb_2025", "score": 53.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): hmmt_2025=53.6 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "ifeval", "score": 84.9, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning-plus column): ifeval=84.9. [R5d: prior unverified value 82 from https://huggingface.co/microsoft/Phi-4-reasoning-plus deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "mmlu_pro", "score": 76.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4-reasoning-plus column): mmlu_pro=76.0. [R5d: prior unverified value 72 from https://huggingface.co/microsoft/Phi-4-reasoning deleted.]" }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "swe_bench_verified", "score": 32, "reference_url": "https://huggingface.co/microsoft/Phi-4-reasoning-plus", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not mentioned in model card. No SWE-bench data shown for any model in this card.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:58:09Z" }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "gpqa_diamond", "score": 76.01, "reference_url": "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6", "context": "32k" }, "notes": "HF model card \"GPQA\" Reasoning On=76.01. NOTE: model card says \"GPQA\" not \"GPQA Diamond\" \u2014 likely same but verify (see review file). Prompt template = ABCD format consistent with Diamond." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "aime_2025", "score": 72.5, "reference_url": "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6", "context": "32k" }, "notes": "HF model card \"AIME25\" Reasoning On=72.50. Clear match." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "livecodebench", "score": 66.31, "reference_url": "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6", "context": "32k" }, "notes": "HF model card \"LiveCodeBench (20240801-20250201)\" Reasoning On=66.31. Date range noted in reported_setting." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "ifeval", "score": 89.45, "reference_url": "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6", "context": "32k" }, "notes": "HF model card \"IFEval\" Strict:Instruction Reasoning On=89.45. Clear match." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "math_500", "score": 97.0, "reference_url": "https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg of up to 16 benchmark runs)", "judge": "rule-based", "harness": "NVIDIA eval pipeline (transformers/vLLM)", "prompt_style": "custom prompt templates per benchmark", "temperature": "0.6", "context": "32k" }, "notes": "HF model card \"MATH500\" Reasoning On=97.00. Matches exactly. Previous ref was 404 URL; updated to HF model card." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "arena_hard", "score": 92.7, "reference_url": "https://medium.com/towards-agi/nvidia-llama-nemotron-outshines-llama-4/", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "humaneval", "score": 92.0, "reference_url": "https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/", "audit_status": "dropped", "rule_id": "R5g-ghost", "notes": "DROPPED (R5g-ghost): original ref URL was dead 404. Correct URL is https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/. That blog covers GPQA Diamond (76%), LiveCodeBench, AIME only \u2014 no humaneval data for this model." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "mmlu", "score": 87.0, "reference_url": "https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/", "audit_status": "dropped", "rule_id": "R5g-ghost", "notes": "DROPPED (R5g-ghost): original ref URL was dead 404. Correct URL is https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/. That blog covers GPQA Diamond (76%), LiveCodeBench, AIME only \u2014 no mmlu data for this model." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "mmlu_pro", "score": 76.0, "reference_url": "https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/", "audit_status": "dropped", "rule_id": "R5g-ghost", "notes": "DROPPED (R5g-ghost): original ref URL was dead 404. Correct URL is https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/. That blog covers GPQA Diamond (76%), LiveCodeBench, AIME only \u2014 no mmlu_pro data for this model." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "codeforces_rating", "score": 1750, "reference_url": "https://artificialanalysis.ai/models/llama-3-1-nemotron-ultra-253b-v1-reasoning", "audit_status": "needs_review", "notes": "Reference URL is AA model page (llama-3-1-nemotron-ultra-253b-v1-reasoning). AA does not publish codeforces_rating data; field is not present in AA model data. Cannot verify 1750 from AA source. Original source may be NVIDIA tech report." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "hle", "score": 15, "reference_url": "https://artificialanalysis.ai/models/llama-3-1-nemotron-ultra-253b-v1-reasoning", "audit_status": "needs_review", "notes": "Reference URL is AA model page (llama-3-1-nemotron-ultra-253b-v1-reasoning). Current AA model page shows hle=0.081\u21928.1%, but BP has 15. Major mismatch (6.9pp). Possible stale data or wrong model variant. Current AA value: 8.1%." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "simpleqa", "score": 35, "reference_url": "https://artificialanalysis.ai/models/llama-3-1-nemotron-ultra-253b-v1-reasoning", "audit_status": "needs_review", "notes": "Reference URL is AA model page (llama-3-1-nemotron-ultra-253b-v1-reasoning). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification." }, { "model_id": "nemotron-ultra-253b", "benchmark_id": "swe_bench_verified", "score": 48, "reference_url": "https://artificialanalysis.ai/models/llama-3-1-nemotron-ultra-253b-v1-reasoning", "audit_status": "needs_review", "notes": "Reference URL is AA model page (llama-3-1-nemotron-ultra-253b-v1-reasoning). AA does not publish swe_bench_verified scores; field is not present in AA model data. Cannot verify 48 from AA source." }, { "model_id": "amazon-nova-pro", "benchmark_id": "mmlu", "score": 85.9, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "gpqa_diamond", "score": 50.0, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "humaneval", "score": 89.0, "reference_url": "https://arxiv.org/abs/2506.12103", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "From Nova family tech report (arxiv 2506.12103); not in Premier announcement table." }, { "model_id": "amazon-nova-pro", "benchmark_id": "ifeval", "score": 92.1, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "math_500", "score": 76.6, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "mmlu", "score": 87.4, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "math_500", "score": 82.0, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "swe_bench_verified", "score": 42.4, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "gpqa_diamond", "score": 57.1, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "humaneval", "score": 80.0, "reference_url": "https://aws.amazon.com/blogs/aws/amazon-nova-premier/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "dropped", "notes": "Cited in AWS announcement blog; no detailed methodology disclosed. Pending decision.", "rule_id": "R5g-ghost", "audit_note": "aws.amazon.com/blogs/aws/amazon-nova-premier/ returns HTTP 404 (permanently dead).", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "amazon-nova-premier", "benchmark_id": "ifeval", "score": 91.5, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "mmmu", "score": 68.0, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "command-a", "benchmark_id": "mmlu", "score": 85.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper: mmlu=85.5 (matches BP, re-sourced)" }, { "model_id": "command-a", "benchmark_id": "humaneval", "score": 82.9, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 82.9. Third-party self-test by Mistral (their internal eval pipeline).", "candidates": [ { "score": 76.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 76.2 (mc=true)." } ] }, { "model_id": "command-a", "benchmark_id": "mmlu_pro", "score": 68.9, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 68.9. Third-party self-test by Mistral (their internal eval pipeline).", "candidates": [ { "score": 69.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 69.6 (mc=true)." } ] }, { "model_id": "command-a", "benchmark_id": "ifeval", "score": 89.7, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 89.7. Third-party self-test by Mistral (their internal eval pipeline).", "candidates": [ { "score": 90.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 90.9 (mc=true)." }, { "score": 90.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 90.9 (mc=true)." } ] }, { "model_id": "command-a", "benchmark_id": "arena_hard", "score": 95.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "dropped", "notes": "Mistral Medium 3 blog table: 95.1. Third-party self-test by Mistral (their internal eval pipeline). | DROPPED: BP cell URL = Cohere paper but paper main tables do not report standard ArenaHard. Paper has mArenaHard (multilingual) and Auto Arena Hard appendix figure but not the cell value 72.0. Ghost per R5g(a)." }, { "model_id": "command-a", "benchmark_id": "gpqa_diamond", "score": 46.5, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "dropped", "notes": "Mistral Medium 3 blog table: 46.5. Third-party self-test by Mistral (their internal eval pipeline). | DROPPED: BP cell URL = Cohere paper but paper Table 1/3 reports GPQA full set 50.8, NOT GPQA Diamond. Wrong-benchmark scrape (ghost) per R5g(b). Use new gpqa cell at 50.8." }, { "model_id": "command-a", "benchmark_id": "livecodebench", "score": 26.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper: livecodebench=26.9. [R5d: prior unverified value 28.0 from https://cohere.com/research/papers/command-a-technical-report.pdf deleted.]" }, { "model_id": "command-a", "benchmark_id": "math_500", "score": 82.0, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 82.0. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "command-a", "benchmark_id": "aime_2024", "score": 30, "reference_url": "https://www.vellum.ai/llm-leaderboard", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "command-a", "benchmark_id": "bigcodebench", "score": 45.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper: bigcodebench=45.4. [R5d: prior unverified value 33.8 from https://bigcode-bench.github.io/ deleted.]" }, { "model_id": "command-a", "benchmark_id": "simpleqa", "score": 32, "reference_url": "https://www.vellum.ai/llm-leaderboard", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "command-a", "benchmark_id": "swe_bench_verified", "score": 26.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper: swe_bench_verified=26.8. [R5d: prior unverified value 38 from https://www.vellum.ai/llm-leaderboard deleted.]" }, { "model_id": "exaone-4.0-32b", "benchmark_id": "mmlu_pro", "score": 81.8, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "verified", "matches_canonical": true, "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "candidates": [], "notes": "Reasoning mode Table 3: MMLU-Pro=81.8 matches BP." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "gpqa_diamond", "score": 75.4, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "verified", "matches_canonical": true, "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@8", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "candidates": [], "notes": "Reasoning mode Table 3: GPQA-Diamond=75.4 matches BP." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "aime_2025", "score": 85.3, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "verified", "matches_canonical": true, "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@32", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "candidates": [], "notes": "Reasoning mode Table 3: AIME 2025=85.3 matches BP. (avg@32, 64K budget)" }, { "model_id": "exaone-4.0-32b", "benchmark_id": "livecodebench", "score": 72.6, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-b wrong-variant): Source explicitly labels this LiveCodeBench v5=72.6. BP has separate livecodebench_v5 and livecodebench_v6 IDs. Moved to livecodebench_v5." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "hmmt_feb_2025", "score": 72.9, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "verified", "matches_canonical": true, "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@32", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "candidates": [], "notes": "Reasoning mode Table 3: HMMT Feb 2025=72.9 matches BP. (avg@32)" }, { "model_id": "exaone-4.0-32b", "benchmark_id": "math_500", "score": 96.4, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-a ghost): Source only has MATH500(ES)=95.8 (Reasoning). English MATH-500 not reported. 96.4 not found in source." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "ifeval", "score": 83.7, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "verified", "matches_canonical": true, "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (greedy for Non-Reasoning, sampled for Reasoning avg)", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "candidates": [], "notes": "Reasoning mode Table 3: IFEval=83.7. BP had 88.0 which is not present anywhere in source \u2192 R5g-b overwrite." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "humaneval", "score": 90.2, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-a ghost): HumanEval not evaluated in EXAONE 4.0 tech report (2507.11407). Source has no HumanEval table." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "arena_hard", "score": 80.0, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-a ghost): Arena-Hard not evaluated in EXAONE 4.0 tech report. Source has no Arena Hard table." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "mmlu", "score": 84.0, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-a ghost): Source uses MMLU-Redux (92.3) and MMLU-Pro (81.8), not plain MMLU. 84.0 not found in source." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "simpleqa", "score": 30.0, "reference_url": "https://arxiv.org/html/2507.11407v1", "audit_status": "dropped", "matches_canonical": false, "source_type": "tech_report", "candidates": [], "notes": "DROPPED (R5g-a ghost): SimpleQA not evaluated in EXAONE 4.0 tech report. Source has no SimpleQA table." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "aime_2024", "score": 72.1, "reference_url": "https://arxiv.org/abs/2504.21318", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "arxiv 2504.21318 (Phi-4-reasoning paper) Table 1 reports EXAONE-Deep-32B AIME 24=72.1, not EXAONE 4.0 32B. Wrong model variant.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "exaone-4.0-32b", "benchmark_id": "codeforces_rating", "score": 1650, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "exaone-4.0-32b", "benchmark_id": "swe_bench_verified", "score": 45, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "mmlu_pro", "score": 82.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=82.0." }, { "model_id": "minimax-m2", "benchmark_id": "gpqa_diamond", "score": 77.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=77.7.", "candidates": [ { "score": 78, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: minimax-m2=78." } ] }, { "model_id": "minimax-m2", "benchmark_id": "swe_bench_verified", "score": 69.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=69.4." }, { "model_id": "minimax-m2", "benchmark_id": "aa_intelligence_index", "score": 61, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=61." }, { "model_id": "minimax-m2", "benchmark_id": "hle", "score": 12.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=12.5." }, { "model_id": "minimax-m2", "benchmark_id": "aime_2025", "score": 78.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=78.3.", "candidates": [ { "score": 78, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: minimax-m2=78." } ] }, { "model_id": "minimax-m2", "benchmark_id": "livecodebench", "score": 83.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=83.0." }, { "model_id": "minimax-m2", "benchmark_id": "browsecomp", "score": 44, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=44." }, { "model_id": "minimax-m2", "benchmark_id": "chatbot_arena_elo", "score": 1346, "reference_url": "https://lmarena.ai/leaderboard/text", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "notes": "lmarena.ai text arena (fetched 2026-04-29). Arena model name: minimax-m2 (rank 165). ELO updates continuously; score reflects latest available." }, { "model_id": "minimax-m2", "benchmark_id": "humaneval", "score": 90.0, "reference_url": "https://artificialanalysis.ai/articles/minimax-m2-benchmarks-and-analysis", "audit_status": "needs_review", "notes": "Reference URL is AA article page for minimax-m2. AA model page shows humaneval=null for minimax-m2. Cannot verify 90.0% from AA source. AA does not appear to have independently tested humaneval for this model." }, { "model_id": "minimax-m2", "benchmark_id": "ifeval", "score": 88.0, "reference_url": "https://artificialanalysis.ai/models/minimax-m2", "audit_status": "needs_review", "notes": "Reference URL is AA model page (minimax-m2). AA uses field name \"ifbench\" (not ifeval); current value ifbench=0.723\u219272.3%. BP has 88.0% for ifeval. Major mismatch (15.7pp). Possible different benchmark/field or stale data. Current AA ifbench value: 72.3%." }, { "model_id": "minimax-m2", "benchmark_id": "math_500", "score": 97.0, "reference_url": "https://artificialanalysis.ai/models/minimax-m2", "audit_status": "needs_review", "notes": "Reference URL is AA model page (minimax-m2), but AA shows math_500=null for minimax-m2. Cannot verify 97.0% from AA source." }, { "model_id": "minimax-m2", "benchmark_id": "simpleqa", "score": 40.0, "reference_url": "https://artificialanalysis.ai/models/minimax-m2", "audit_status": "needs_review", "notes": "Reference URL is AA model page (minimax-m2). AA does not publish SimpleQA scores; field is not present in AA model data for any model. Cannot verify from AA source. Original source needs identification." }, { "model_id": "minimax-m2", "benchmark_id": "terminal_bench", "score": 30.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=30.0.", "candidates": [ { "score": 46.3, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: minimax-m2=46.3." } ] }, { "model_id": "minimax-m2", "benchmark_id": "aime_2024", "score": 65, "reference_url": "https://llm-stats.com/models/minimax-m2", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "codeforces_rating", "score": 1700, "reference_url": "https://llm-stats.com/models/minimax-m2", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "mmlu", "score": 87, "reference_url": "https://llm-stats.com/models/minimax-m2", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "mmmu", "score": 75, "reference_url": "https://llm-stats.com/models/minimax-m2", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "swe_bench_pro", "score": 32, "reference_url": "https://llm-stats.com/models/minimax-m2", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "minimax-m2", "benchmark_id": "terminal_bench_1", "score": 42, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/1.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5d" ], "notes": "Confirmed 42.0% on tbench.ai Terminal-Bench 1.0 leaderboard (iFlow CLI scaffold, 2025-11-11)." }, { "model_id": "olmo-2-13b", "benchmark_id": "mmlu", "score": 68.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct: mmlu=68.5. [R5d: prior unverified value 67.5 from https://allenai.org/blog/olmo2 deleted.]" }, { "model_id": "olmo-2-13b", "benchmark_id": "mmlu_pro", "score": 35.1, "reference_url": "https://huggingface.co/allenai/OLMo-2-1124-13B", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "HF card allenai/OLMo-2-1124-13B shows BASE model MMLUPro=35.1; wrong variant (Base vs Instruct).", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "olmo-2-13b", "benchmark_id": "gpqa_diamond", "score": 25.0, "reference_url": "https://allenai.org/blog/olmo2", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "allenai.org/blog/olmo2 is SSR JavaScript bundle; no readable benchmark tables extractable. Blog does not report GPQA Diamond for OLMo-2-13B.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "olmo-2-13b", "benchmark_id": "humaneval", "score": 55.0, "reference_url": "https://allenai.org/blog/olmo2", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "allenai.org/blog/olmo2 is SSR JavaScript bundle; no readable benchmark tables. Blog does not report HumanEval for OLMo-2-13B.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "olmo-2-13b", "benchmark_id": "ifeval", "score": 82.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct: ifeval=82.6. [R5d: prior unverified value 68.0 from https://allenai.org/blog/olmo2 deleted.]" }, { "model_id": "olmo-2-13b", "benchmark_id": "aime_2024", "score": 5, "reference_url": "https://allenai.org/blog/olmo3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "allenai.org/blog/olmo3 covers OLMo 3 (7B, 32B); no benchmark data for olmo-2-13b in any table.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:03:41Z" }, { "model_id": "olmo-2-13b", "benchmark_id": "livecodebench", "score": 18, "reference_url": "https://allenai.org/blog/olmo3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "allenai.org/blog/olmo3 covers OLMo 3 (7B, 32B); no benchmark data for olmo-2-13b.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:03:41Z" }, { "model_id": "olmo-2-13b", "benchmark_id": "math_500", "score": 38, "reference_url": "https://allenai.org/blog/olmo3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "allenai.org/blog/olmo3 covers OLMo 3 (7B, 32B); no benchmark data for olmo-2-13b.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T13:03:41Z" }, { "model_id": "lfm2.5-1.2b-thinking", "benchmark_id": "gpqa_diamond", "score": 37.86, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval)", "prompt_style": "default", "temperature": 0.05 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: lfm2.5-1.2b-thinking=37.86." }, { "model_id": "lfm2.5-1.2b-thinking", "benchmark_id": "mmlu_pro", "score": 49.65, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval)", "prompt_style": "default", "temperature": 0.05 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: lfm2.5-1.2b-thinking=49.65." }, { "model_id": "lfm2.5-1.2b-thinking", "benchmark_id": "aime_2025", "score": 31.73, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval)", "prompt_style": "default", "temperature": 0.05 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: lfm2.5-1.2b-thinking=31.73." }, { "model_id": "lfm2.5-1.2b-thinking", "benchmark_id": "math_500", "score": 87.96, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval)", "prompt_style": "default", "temperature": 0.05 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: lfm2.5-1.2b-thinking=87.96." }, { "model_id": "lfm2.5-1.2b-thinking", "benchmark_id": "ifeval", "score": 88.42, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval)", "prompt_style": "default", "temperature": 0.05 }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: lfm2.5-1.2b-thinking=88.42." }, { "model_id": "phi-4-mini", "benchmark_id": "mmlu", "score": 67.3, "reference_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "phi-4-mini HF model card: mmlu=67.3 (re-sourced from https://huggingface.co/microsoft/Phi-4-mini-instruct, matches BP value)" }, { "model_id": "phi-4-mini", "benchmark_id": "gpqa_diamond", "score": 30.4, "reference_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL claims phi-4-mini HF or phi-4 HF, but gpqa_diamond value not in phi-4-mini HF model card. Ghost cell per R5g(a)." }, { "model_id": "phi-4-mini", "benchmark_id": "humaneval", "score": 74.4, "reference_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL claims phi-4-mini HF or phi-4 HF, but humaneval value not in phi-4-mini HF model card. Ghost cell per R5g(a)." }, { "model_id": "phi-4-mini", "benchmark_id": "mmlu_pro", "score": 52.8, "reference_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "phi-4-mini HF model card: mmlu_pro=52.8 (re-sourced from https://huggingface.co/microsoft/Phi-4-mini-instruct, matches BP value)" }, { "model_id": "phi-4-mini", "benchmark_id": "gsm8k", "score": 88.6, "reference_url": "https://huggingface.co/microsoft/Phi-4-mini-instruct", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "phi-4-mini HF model card: gsm8k=88.6 (re-sourced from https://huggingface.co/microsoft/Phi-4-mini-instruct, matches BP value)" }, { "model_id": "phi-4-mini", "benchmark_id": "ifeval", "score": 72, "reference_url": "https://huggingface.co/microsoft/phi-4", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL claims phi-4-mini HF or phi-4 HF, but ifeval value not in phi-4-mini HF model card. Ghost cell per R5g(a)." }, { "model_id": "phi-4-mini", "benchmark_id": "livecodebench", "score": 28, "reference_url": "https://huggingface.co/microsoft/phi-4", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL claims phi-4-mini HF or phi-4 HF, but livecodebench value not in phi-4-mini HF model card. Ghost cell per R5g(a)." }, { "model_id": "phi-4-mini", "benchmark_id": "math_500", "score": 75, "reference_url": "https://huggingface.co/microsoft/phi-4", "audit_status": "dropped", "notes": " | DROPPED: BP cell URL claims phi-4-mini HF or phi-4 HF, but math_500 value not in phi-4-mini HF model card. Ghost cell per R5g(a)." }, { "model_id": "falcon3-10b", "benchmark_id": "ifeval", "score": 78.17, "reference_url": "https://huggingface.co/tiiuae/Falcon3-10B-Instruct", "audit_status": "verified", "matches_canonical": true, "source_type": "model_card", "notes": "Falcon3-10B-Instruct HF card shows IFEval=78.17.", "audited_by": "lychee-audit-bot", "audited_at": "2026-07-26T00:00:00Z" }, { "model_id": "falcon3-10b", "benchmark_id": "mmlu", "score": 73.1, "reference_url": "https://huggingface.co/blog/falcon3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Blog attributes 73.1 to Falcon3-10B-Base; JSON model is Instruct. Source does not confirm Instruct score.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:56:37Z" }, { "model_id": "falcon3-10b", "benchmark_id": "mmlu_pro", "score": 42.5, "reference_url": "https://huggingface.co/blog/falcon3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Blog attributes 42.5 to Falcon3-10B-Base; JSON model is Instruct. Source does not confirm Instruct score.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:56:37Z" }, { "model_id": "falcon3-10b", "benchmark_id": "gpqa_diamond", "score": 30.0, "reference_url": "https://huggingface.co/blog/falcon3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not mentioned in the HF blog for any Falcon3 model.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:56:37Z" }, { "model_id": "falcon3-10b", "benchmark_id": "humaneval", "score": 72.0, "reference_url": "https://huggingface.co/blog/falcon3", "audit_status": "dropped", "rule_id": "R5g-ghost", "audit_note": "Not mentioned in the HF blog for any Falcon3 model.", "audited_by": "lychee-audit-bot", "audited_at": "2026-04-29T12:56:37Z" }, { "model_id": "falcon3-10b", "benchmark_id": "aime_2024", "score": 8, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "falcon3-10b", "benchmark_id": "livecodebench", "score": 22, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "falcon3-10b", "benchmark_id": "math_500", "score": 62, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "internlm3-8b", "benchmark_id": "mmlu", "score": 76.6, "reference_url": "https://github.com/InternLM/InternLM", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "GitHub README table: mmlu = 76.6. No * marker (non-thinking mode)." }, { "model_id": "internlm3-8b", "benchmark_id": "gpqa_diamond", "score": 37.4, "reference_url": "https://github.com/InternLM/InternLM", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "GitHub README table: gpqa_diamond = 37.4. No * marker (non-thinking mode)." }, { "model_id": "internlm3-8b", "benchmark_id": "math_500", "score": null, "reference_url": "https://github.com/InternLM/InternLM", "reported_setting": { "mode": "thinking", "notes": "Thinking mode per footnote *" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "dropped", "notes": "Dropped: GitHub README marks this 83.0 with * = Thinking Mode. BP internlm3-8b is non-thinking (is_reasoning=false). Wrong variant per R5g-b." }, { "model_id": "internlm3-8b", "benchmark_id": "humaneval", "score": 82.3, "reference_url": "https://github.com/InternLM/InternLM", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "GitHub README table: humaneval = 82.3. No * marker (non-thinking mode)." }, { "model_id": "internlm3-8b", "benchmark_id": "ifeval", "score": 79.3, "reference_url": "https://github.com/InternLM/InternLM", "audit_status": "verified", "source_type": "model_card", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "GitHub README table: ifeval = 79.3. No * marker (non-thinking mode)." }, { "model_id": "internlm3-8b", "benchmark_id": "aime_2024", "score": 12, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "internlm3-8b", "benchmark_id": "livecodebench", "score": 32, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "internlm3-8b", "benchmark_id": "mmlu_pro", "score": 57.6, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "GitHub README: MMLU-Pro 0-shot = 57.6 (no *). Overwrote llm-stats value of 52." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "gpqa_diamond", "score": 77.3, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=77.3." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "aime_2024", "score": 86.7, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=86.7." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "aime_2025", "score": 74.0, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=74.0." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "livecodebench", "score": 64.9, "reference_url": "https://github.com/ByteDance-Seed/Seed-Thinking-v1.5", "audit_status": "dropped", "notes": " [R5g-b] GitHub source reports LiveCodeBench v5 (64.9%); correct cell livecodebench_v5 already verified. Wrong benchmark_id column. Dropped." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "humaneval", "score": 90.0, "reference_url": "https://github.com/ByteDance-Seed/Seed-Thinking-v1.5", "audit_status": "dropped", "notes": " [R5g-a] GitHub README table for Seed-Thinking-v1.5 does not report HumanEval. Ghost cell \u2014 value not found in referenced source. Dropped." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "ifeval", "score": 87.4, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=87.4." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "math_500", "score": 95.0, "reference_url": "https://github.com/ByteDance-Seed/Seed-Thinking-v1.5", "audit_status": "dropped", "notes": " [R5g-a] GitHub README table for Seed-Thinking-v1.5 does not report MATH-500. Ghost cell \u2014 value not found in referenced source. Dropped." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "mmlu_pro", "score": 87.0, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=87.0." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "hle", "score": 22, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "mmlu", "score": 87, "reference_url": "https://llm-stats.com/benchmarks", "audit_status": "dropped", "rule_id": "R5h-third-party-blog", "notes": "DROPPED (R5h): random third-party blog/aggregator, no primary trail" }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "simpleqa", "score": 12.9, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=12.9." }, { "model_id": "seed-thinking-v1.5", "benchmark_id": "swe_bench_verified", "score": 47.0, "reference_url": "https://arxiv.org/abs/2504.13914", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Seed-Thinking-v1.5 paper Table 2: seed-thinking-v1.5=47.0." }, { "model_id": "claude-mythos", "benchmark_id": "mmmlu", "score": 92.7, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A." }, { "model_id": "claude-opus-4.6", "benchmark_id": "mmmlu", "score": 91.1, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 91.1%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 91.1, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMLU 91.1%" } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "mmmlu", "score": 91.5, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 91.5%." }, { "model_id": "claude-mythos", "benchmark_id": "graphwalks_bfs_256k_1m", "score": 80.0, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A." }, { "model_id": "claude-opus-4.6", "benchmark_id": "graphwalks_bfs_256k_1m", "score": 38.7, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 38.7%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." }, { "model_id": "gpt-5.4", "benchmark_id": "graphwalks_bfs_256k_1m", "score": 21.4, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 21.4." }, { "model_id": "claude-mythos", "benchmark_id": "charxiv_reasoning", "score": 86.1, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: no-tools column. With-tools=93.2 not used." }, { "model_id": "claude-opus-4.6", "benchmark_id": "charxiv_reasoning", "score": 61.5, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 61.5%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 69.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Opus 4.7 blog reports 69.1 (vs primary verified=61.5 from Mythos PDF, no-tools)." }, { "score": 69.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: claude-opus-4.6=69.1." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "charxiv_reasoning", "score": 82.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 82.1%." }, { "model_id": "kimi-k2.6", "benchmark_id": "charxiv_reasoning", "score": 80.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: CharXiv RQ 80.4" }, { "model_id": "claude-mythos", "benchmark_id": "swe_bench_multilingual", "score": 87.3, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.4: 5 trials." }, { "model_id": "claude-opus-4.6", "benchmark_id": "swe_bench_multilingual", "score": 77.8, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 77.8%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials).", "candidates": [ { "score": 77.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 77.5." } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "swe_bench_multilingual", "score": 76.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 76.7." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "swe_bench_multilingual", "score": 76.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 76.2.", "candidates": [ { "score": 76.2, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "swe_bench_multilingual", "score": 73.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 73.3.", "candidates": [ { "score": 73.3, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "claude-mythos", "benchmark_id": "swe_bench_multimodal", "score": 59.0, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Anthropic internal", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card \u00a76.4: internal harness; per benchmark canonical, lab-internal harness accepted." }, { "model_id": "claude-opus-4.6", "benchmark_id": "swe_bench_multimodal", "score": 27.1, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Anthropic internal", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 27.1%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "hmmt_feb_2026", "score": 95.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 95.2.", "candidates": [] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "hmmt_feb_2026", "score": 94.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 94.8.", "candidates": [] }, { "model_id": "kimi-k2.6", "benchmark_id": "hmmt_feb_2026", "score": 92.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "reported_setting": { "mode": "thinking", "effort": "max (98304 generation tokens)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@10 coding, avg@3 vision)", "judge": "rule-based", "harness": "official (in-house SWE-agent-derived for SWE-Bench)", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: HMMT 2026 Feb 92.7" }, { "model_id": "gpt-5.4", "benchmark_id": "hmmt_feb_2026", "score": 97.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 97.7.", "candidates": [ { "score": 91.8, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gpt-5.4=91.8." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "hmmt_feb_2026", "score": 96.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 96.2.", "candidates": [ { "score": 84.3, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: claude-opus-4.6=84.3." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "hmmt_feb_2026", "score": 94.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 94.7.", "candidates": [ { "score": 87.3, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gemini-3.1-pro=87.3." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "hmmt_feb_2026", "score": 81.3, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: kimi-k2.5=81.3.", "candidates": [ { "score": 87.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "(merged from hmmt_2026_feb) Kimi K2.6 model card: kimi-k2.5=87.1." } ] }, { "model_id": "glm-5.1", "benchmark_id": "hmmt_feb_2026", "score": 89.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 89.4.", "candidates": [ { "score": 82.6, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: glm-5.1=82.6." } ] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "imo_answerbench", "score": 89.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 89.8.", "candidates": [ { "score": 89.8, "reference_url": "https://llm-stats.com/benchmarks/imo-answerbench", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "imo_answerbench", "score": 88.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 88.4.", "candidates": [ { "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/imo-answerbench", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "imo_answerbench", "score": 86.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 86.0." }, { "model_id": "gpt-5.4", "benchmark_id": "imo_answerbench", "score": 91.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 91.4." }, { "model_id": "claude-opus-4.6", "benchmark_id": "imo_answerbench", "score": 75.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 75.3." }, { "model_id": "kimi-k2.5", "benchmark_id": "imo_answerbench", "score": 81.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: IMO-AnswerBench 81.8" }, { "model_id": "glm-5.1", "benchmark_id": "imo_answerbench", "score": 83.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 83.8." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "apex_shortlist", "score": 90.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 90.2." }, { "model_id": "deepseek-v4-flash", "benchmark_id": "apex_shortlist", "score": 85.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 85.7." }, { "model_id": "kimi-k2.6", "benchmark_id": "apex_shortlist", "score": 75.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 75.5." }, { "model_id": "gpt-5.4", "benchmark_id": "apex_shortlist", "score": 78.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 78.1." }, { "model_id": "claude-opus-4.6", "benchmark_id": "apex_shortlist", "score": 85.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 85.9." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "apex_shortlist", "score": 89.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 89.1." }, { "model_id": "glm-5.1", "benchmark_id": "apex_shortlist", "score": 72.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 72.4." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "mcpatlas", "score": 73.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 73.6.", "candidates": [ { "score": 73.6, "reference_url": "https://llm-stats.com/benchmarks/mcp-atlas", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "mcpatlas", "score": 69.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 69.0.", "candidates": [ { "score": 69.0, "reference_url": "https://llm-stats.com/benchmarks/mcp-atlas", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "mcpatlas", "score": 66.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 66.6." }, { "model_id": "gpt-5.4", "benchmark_id": "mcpatlas", "score": 70.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 70.6.", "candidates": [ { "score": 67.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 67.2." }, { "score": 67.2, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gpt-5.4=67.2." } ] }, { "model_id": "gpt-5.5", "benchmark_id": "mcpatlas", "score": 75.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 75.3." }, { "model_id": "claude-opus-4.6", "benchmark_id": "mcpatlas", "score": 75.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.6 = 75.8%.", "candidates": [ { "score": 59.5, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "Sonnet 4.6 blog reports 59.5 (vs primary verified=75.8 from Opus 4.7 blog)." }, { "score": 59.5, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MCP Atlas 59.5%" }, { "score": 73.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "source_type": "third_party", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 73.8." }, { "score": 73.8, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: claude-opus-4.6=73.8." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "mcpatlas", "score": 77.3, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 77.3%.", "candidates": [ { "score": 79.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 79.1 (vs primary 77.3 from Anthropic Opus 4.7)." } ] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mcpatlas", "score": 69.2, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): MCP Atlas 69.2% (was 78.2 from OpenAI gpt-5.5 blog third-party; demoted to candidate)", "candidates": [ { "score": 78.2, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": {}, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: " } ] }, { "model_id": "glm-5.1", "benchmark_id": "mcpatlas", "score": 71.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 71.8." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "toolathlon", "score": 51.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 51.8.", "candidates": [ { "score": 51.8, "reference_url": "https://llm-stats.com/benchmarks/toolathlon", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "toolathlon", "score": 47.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 47.8.", "candidates": [ { "score": 47.8, "reference_url": "https://llm-stats.com/benchmarks/toolathlon", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "toolathlon", "score": 50.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 50.0." }, { "model_id": "gpt-5.4", "benchmark_id": "toolathlon", "score": 54.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 54.6." }, { "model_id": "gpt-5.5", "benchmark_id": "toolathlon", "score": 55.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 55.6." }, { "model_id": "claude-opus-4.6", "benchmark_id": "toolathlon", "score": 47.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 47.2." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "toolathlon", "score": 48.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "candidates": [], "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 48.8." }, { "model_id": "kimi-k2.5", "benchmark_id": "toolathlon", "score": 27.8, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: kimi-k2.5=27.8." }, { "model_id": "glm-5.1", "benchmark_id": "toolathlon", "score": 40.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 40.7." }, { "model_id": "deepseek-v4-pro", "benchmark_id": "simpleqa_verified", "score": 57.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 57.9." }, { "model_id": "deepseek-v4-flash", "benchmark_id": "simpleqa_verified", "score": 34.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 34.1." }, { "model_id": "qwen3.5-397b", "benchmark_id": "hmmt_feb_2026", "score": 87.88, "reference_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2026", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "deepseek-v3.2", "benchmark_id": "hmmt_feb_2026", "score": 79.9, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: deepseek-v3.2=79.9.", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "hmmt_feb_2026", "score": 78.79, "reference_url": "https://huggingface.co/datasets/MathArena/hmmt_feb_2026", "audit_status": "dropped", "notes": " | DROPPED: BP value from matharena 2026 dataset; BP model release_date=2025-05-15. Wrong-variant." }, { "model_id": "deepseek-v3.2", "benchmark_id": "aime_2026", "score": 95.1, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: deepseek-v3.2=95.1." }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "aime_2026", "score": 87.5, "reference_url": "https://huggingface.co/datasets/MathArena/aime_2026", "audit_status": "dropped", "notes": " | DROPPED: BP value from matharena 2026 dataset; BP model release_date=2025-05-15. Wrong-variant." }, { "model_id": "kimi-k2.5", "benchmark_id": "aime_2026", "score": 94.5, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: kimi-k2.5=94.5.", "candidates": [ { "score": 95.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.6 model card: kimi-k2.5=95.8." }, { "score": 93.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 93.3 (3rd-party Qwen self-test)." } ] }, { "model_id": "gemma-4-31b", "benchmark_id": "mmlu_pro", "score": 85.2, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmlu_pro 85.2" }, { "model_id": "gemma-4-31b", "benchmark_id": "aime_2026", "score": 89.2, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: aime_2026 89.2" }, { "model_id": "gemma-4-31b", "benchmark_id": "gpqa_diamond", "score": 84.3, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: gpqa_diamond 84.3" }, { "model_id": "gemma-4-31b", "benchmark_id": "mmmlu", "score": 88.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmlu 88.4" }, { "model_id": "gemma-4-31b", "benchmark_id": "livecodebench", "score": 80.0, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: livecodebench 80.0" }, { "model_id": "gemma-4-31b", "benchmark_id": "codeforces_rating", "score": 2150, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: codeforces_rating 2150" }, { "model_id": "gemma-4-31b", "benchmark_id": "hle", "score": 19.5, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: hle 19.5", "candidates": [ { "score": 26.5, "reference_url": "https://huggingface.co/blog/gemma4", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web search", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Gemma 4 HF blog: HLE with search 26.5 (alt tool setting; canonical = no-tools)." } ] }, { "model_id": "gemma-4-31b", "benchmark_id": "mmmu_pro", "score": 76.9, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmu_pro 76.9" }, { "model_id": "gemma-4-31b", "benchmark_id": "mathvision", "score": 85.6, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mathvision 85.6" }, { "model_id": "gemma-4-31b", "benchmark_id": "mrcr_v2", "score": 66.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mrcr_v2 66.4" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "mmlu_pro", "score": 82.6, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmlu_pro 82.6" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "aime_2026", "score": 88.3, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: aime_2026 88.3" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "gpqa_diamond", "score": 82.3, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: gpqa_diamond 82.3" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "mmmlu", "score": 86.3, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmlu 86.3" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "livecodebench", "score": 77.1, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: livecodebench 77.1" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "codeforces_rating", "score": 1718, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: codeforces_rating 1718" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "hle", "score": 8.7, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: hle 8.7", "candidates": [ { "score": 17.2, "reference_url": "https://huggingface.co/blog/gemma4", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web search", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Gemma 4 HF blog: HLE with search 17.2 (alt tool setting; canonical = no-tools)." } ] }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "mmmu_pro", "score": 73.8, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmu_pro 73.8" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "mathvision", "score": 82.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mathvision 82.4" }, { "model_id": "gemma-4-26b-a4b", "benchmark_id": "mrcr_v2", "score": 44.1, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mrcr_v2 44.1" }, { "model_id": "gemma-4-e4b", "benchmark_id": "mmlu_pro", "score": 69.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmlu_pro 69.4" }, { "model_id": "gemma-4-e4b", "benchmark_id": "aime_2026", "score": 42.5, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: aime_2026 42.5" }, { "model_id": "gemma-4-e4b", "benchmark_id": "gpqa_diamond", "score": 58.6, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: gpqa_diamond 58.6" }, { "model_id": "gemma-4-e4b", "benchmark_id": "mmmlu", "score": 76.6, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmlu 76.6" }, { "model_id": "gemma-4-e4b", "benchmark_id": "livecodebench", "score": 52.0, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: livecodebench 52.0" }, { "model_id": "gemma-4-e4b", "benchmark_id": "codeforces_rating", "score": 940, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: codeforces_rating 940" }, { "model_id": "gemma-4-e4b", "benchmark_id": "mmmu_pro", "score": 52.6, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmu_pro 52.6" }, { "model_id": "gemma-4-e4b", "benchmark_id": "mathvision", "score": 59.5, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mathvision 59.5" }, { "model_id": "gemma-4-e4b", "benchmark_id": "mrcr_v2", "score": 25.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mrcr_v2 25.4" }, { "model_id": "gemma-4-e2b", "benchmark_id": "mmlu_pro", "score": 60.0, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmlu_pro 60.0" }, { "model_id": "gemma-4-e2b", "benchmark_id": "aime_2026", "score": 37.5, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: aime_2026 37.5" }, { "model_id": "gemma-4-e2b", "benchmark_id": "gpqa_diamond", "score": 43.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: gpqa_diamond 43.4" }, { "model_id": "gemma-4-e2b", "benchmark_id": "mmmlu", "score": 67.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmlu 67.4" }, { "model_id": "gemma-4-e2b", "benchmark_id": "livecodebench", "score": 44.0, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: livecodebench 44.0" }, { "model_id": "gemma-4-e2b", "benchmark_id": "codeforces_rating", "score": 633, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: codeforces_rating 633" }, { "model_id": "gemma-4-e2b", "benchmark_id": "mmmu_pro", "score": 44.2, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mmmu_pro 44.2" }, { "model_id": "gemma-4-e2b", "benchmark_id": "mathvision", "score": 52.4, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mathvision 52.4" }, { "model_id": "gemma-4-e2b", "benchmark_id": "mrcr_v2", "score": 19.1, "reference_url": "https://huggingface.co/blog/gemma4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Gemma 4 HF blog benchmark table: mrcr_v2 19.1" }, { "model_id": "gpt-5.4", "benchmark_id": "usamo_2026", "score": 95.24, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2026", "audit_status": "verified", "matches_canonical": true, "reported_setting": "reasoning_effort:xhigh", "source_type": "leaderboard" }, { "model_id": "glm-5", "benchmark_id": "hmmt_feb_2026", "score": 82.8, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: glm-5=82.8.", "candidates": [] }, { "model_id": "glm-5", "benchmark_id": "aime_2026", "score": 95.4, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog: glm-5=95.4." }, { "model_id": "glm-5", "benchmark_id": "arc_agi_1", "score": 44.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: GLM-5 on leaderboard" }, { "model_id": "glm-5", "benchmark_id": "arc_agi_2", "score": 4.9, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: GLM-5 on leaderboard" }, { "model_id": "glm-5", "benchmark_id": "usamo_2026", "score": 35.12, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2026", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "minimax-m2.5", "benchmark_id": "arc_agi_1", "score": 63.7, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Minimax M2.5 on leaderboard" }, { "model_id": "minimax-m2.5", "benchmark_id": "arc_agi_2", "score": 4.9, "reference_url": "https://arcprize.org/leaderboard", "audit_status": "verified", "source_type": "leaderboard", "matches_canonical": true, "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "notes": "arcprize.org leaderboard audit: Minimax M2.5 on leaderboard" }, { "model_id": "gemini-3.1-pro", "benchmark_id": "usamo_2026", "score": 74.4, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2026", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:high", "source_type": "leaderboard" }, { "model_id": "claude-opus-4.6", "benchmark_id": "usamo_2026", "score": 47.02, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2026", "audit_status": "needs_review", "rule_ids": [ "R5g_c" ], "notes": "matharena.ai/usamo/ currently shows only GPT-5.4 and Gemini models; claude-opus-4.6 entry no longer visible. Stale reference. R5g(c)." }, { "model_id": "qwen3.5-397b", "benchmark_id": "usamo_2026", "score": 36.31, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2026", "audit_status": "verified", "matches_canonical": true, "reported_setting": "thinking:default", "source_type": "leaderboard" }, { "model_id": "grok-3-beta", "benchmark_id": "usamo_2025", "score": 4.76, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "verified", "source_type": "leaderboard" }, { "model_id": "gemini-2.0-flash", "benchmark_id": "usamo_2025", "score": 4.17, "reference_url": "https://matharena.ai/?comp=usamo--usamo_2025", "audit_status": "dropped" }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "bullshit_pushback", "score": 94.55, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.6", "benchmark_id": "bullshit_pushback", "score": 92.73, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.5", "benchmark_id": "bullshit_pushback", "score": 90.91, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=high", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-haiku-4.5", "benchmark_id": "bullshit_pushback", "score": 87.27, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=high", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.7", "benchmark_id": "bullshit_pushback", "score": 80.0, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "grok-4.20", "benchmark_id": "bullshit_pushback", "score": 67.27, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=xhigh (multi-agent-beta variant)", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "qwen3.5-397b", "benchmark_id": "bullshit_pushback", "score": 65.45, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "bullshit_pushback", "score": 65.45, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=high", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "bullshit_pushback", "score": 54.72, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default, thinking variant", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "llama-4-maverick", "benchmark_id": "bullshit_pushback", "score": 54.55, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "BullshitPushback third-party benchmark." }, { "model_id": "kimi-k2.5", "benchmark_id": "bullshit_pushback", "score": 47.27, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-opus-4.1", "benchmark_id": "bullshit_pushback", "score": 40.0, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "rule_ids": [ "R5g_c" ], "notes": "GitHub repo source; not yet verified. R5g(c).", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "llama-4-scout", "benchmark_id": "bullshit_pushback", "score": 36.36, "reference_url": "", "audit_status": "verified", "source_type": "third_party", "reported_setting": {}, "matches_canonical": false, "notes": "BullshitPushback is third-party benchmark." }, { "model_id": "claude-opus-4", "benchmark_id": "bullshit_pushback", "score": 32.73, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-5.2", "benchmark_id": "bullshit_pushback", "score": 27.27, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-5.4", "benchmark_id": "bullshit_pushback", "score": 25.45, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "claude-sonnet-4", "benchmark_id": "bullshit_pushback", "score": 25.45, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-5.1", "benchmark_id": "bullshit_pushback", "score": 25.45, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-pro", "benchmark_id": "bullshit_pushback", "score": 23.64, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-5", "benchmark_id": "bullshit_pushback", "score": 21.82, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "kimi-k2", "benchmark_id": "bullshit_pushback", "score": 20.0, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "dropped", "notes": " | DROPPED (R5h-third-party-blog: community-benchmark)" }, { "model_id": "gpt-5.3-codex", "benchmark_id": "bullshit_pushback", "score": 14.55, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=low", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gemini-2.5-flash", "benchmark_id": "bullshit_pushback", "score": 14.55, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "deepseek-v3.2", "benchmark_id": "bullshit_pushback", "score": 14.55, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=high", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-4.1", "benchmark_id": "bullshit_pushback", "score": 14.55, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=default", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "deepseek-r1", "benchmark_id": "bullshit_pushback", "score": 12.73, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=none", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "gpt-oss-120b", "benchmark_id": "bullshit_pushback", "score": 3.64, "reference_url": "https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest", "audit_status": "verified", "reported_setting": "leaderboard.csv green_rate\u00d7100; reasoning=low", "source_type": "leaderboard", "matches_canonical": true }, { "model_id": "kimi-k2.6", "benchmark_id": "simpleqa_verified", "score": 36.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 36.9." }, { "model_id": "gpt-5.4", "benchmark_id": "simpleqa_verified", "score": 45.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 45.3." }, { "model_id": "claude-opus-4.6", "benchmark_id": "simpleqa_verified", "score": 46.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 46.2." }, { "model_id": "gemini-3.1-pro", "benchmark_id": "simpleqa_verified", "score": 75.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 75.6." }, { "model_id": "glm-5.1", "benchmark_id": "simpleqa_verified", "score": 38.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 38.1." }, { "model_id": "amazon-nova-premier", "benchmark_id": "aime_2025", "score": 16.0, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "charxiv_reasoning", "score": 48.8, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-premier", "benchmark_id": "simpleqa", "score": 86.3, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Reported with SerpApi web-search tool per Premier tech report; deviates from canonical tools=none." }, { "model_id": "amazon-nova-pro", "benchmark_id": "aime_2025", "score": 5.3, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "mmmu", "score": 62.0, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "charxiv_reasoning", "score": 40.6, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "" }, { "model_id": "amazon-nova-pro", "benchmark_id": "simpleqa", "score": 84.6, "reference_url": "https://cdn.amazon.science/e5/e6/ccc5378c42dca467d1abe1628ec9/amazon-nova-premier-technical-report-and-model-card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0 }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Reported with SerpApi web-search tool per Premier tech report (cross-references Nova Pro); deviates from canonical tools=none." }, { "model_id": "claude-opus-4.6", "benchmark_id": "usamo_2025", "score": 42.3, "reference_url": "https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 10 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Mythos sys card Table 6.3.A: Opus 4.6 = 42.3%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." }, { "model_id": "claude-opus-4", "benchmark_id": "tau_bench_airline", "score": 59.6, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. With extended thinking + tool use; prompt addendum to Airline Agent Policy; max steps 100." }, { "model_id": "claude-opus-4", "benchmark_id": "mmmlu", "score": 88.8, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. Avg over 14 non-English languages, no extended thinking." }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau_bench_airline", "score": 60.0, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. Prompt addendum + max steps 100." }, { "model_id": "claude-sonnet-4", "benchmark_id": "mmmlu", "score": 86.5, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog table. Avg over 14 non-English languages." }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "terminal_bench", "score": 35.2, "reference_url": "https://www.anthropic.com/news/claude-4", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Claude 4 blog cross-model table: Sonnet 3.7 = 35.2%." }, { "model_id": "claude-opus-4.1", "benchmark_id": "tau_bench_retail", "score": 82.4, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table. Prompt addendum to Retail Agent Policy + max steps 100." }, { "model_id": "claude-opus-4.1", "benchmark_id": "tau_bench_airline", "score": 56.0, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (TAU-bench official tools)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "\u03c4-bench official + max steps 100", "prompt_style": "prompt addendum to Agent Policy (Anthropic)", "temperature": "top_p=0.95" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table. Prompt addendum to Airline Agent Policy + max steps 100." }, { "model_id": "claude-opus-4.1", "benchmark_id": "mmmu", "score": 77.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table (MMMU validation), with extended thinking." }, { "model_id": "claude-opus-4.1", "benchmark_id": "mmmlu", "score": 89.5, "reference_url": "https://www.anthropic.com/news/claude-opus-4-1", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "top_p=0.95" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.1 blog table. Avg over 14 non-English languages, no extended thinking." }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmmlu", "score": 90.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: 90.8% (avg 14 non-English languages).", "candidates": [ { "score": 90.1, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 90.1 (3rd-party Qwen self-test)." }, { "score": 91.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=91.0." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "tau2_bench_retail", "score": 88.9, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (\u03c4\u00b2-bench official tools)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "\u03c4\u00b2-bench official", "prompt_style": "per Anthropic, prompt addendum may apply", "temperature": "default" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: \u03c4\u00b2-bench retail = 88.9%." }, { "model_id": "claude-opus-4.5", "benchmark_id": "tau2_bench_telecom", "score": 98.2, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (\u03c4\u00b2-bench official tools)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "\u03c4\u00b2-bench official", "prompt_style": "per Anthropic, prompt addendum may apply", "temperature": "default" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: \u03c4\u00b2-bench telecom = 98.2%." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mmmlu", "score": 89.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-5", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.5 blog table: Sonnet 4.5 = 89.1%.", "candidates": [ { "score": 89.1, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMLU 89.1%" }, { "score": 89.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=89.9." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "osworld", "score": 78.0, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 78.0%.", "candidates": [ { "score": 78.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 78.0 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "finance_agent", "score": 64.4, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 64.4%.", "candidates": [ { "score": 64.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 64.4 (matches primary)." } ] }, { "model_id": "claude-opus-4.7", "benchmark_id": "cybergym", "score": 73.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.7 = 73.1%.", "candidates": [ { "score": 73.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "source_type": "third_party", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.5 blog reports 73.1 (matches primary)." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "finance_agent", "score": 60.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.6 = 60.1%." }, { "model_id": "claude-opus-4.6", "benchmark_id": "cybergym", "score": 73.8, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-opus-4.6 = 73.8%.", "candidates": [ { "score": 66.6, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: claude-opus-4.6=66.6." } ] }, { "model_id": "claude-mythos", "benchmark_id": "browsecomp", "score": 86.9, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-mythos = 86.9%." }, { "model_id": "claude-mythos", "benchmark_id": "cybergym", "score": 83.1, "reference_url": "https://www.anthropic.com/news/claude-opus-4-7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Opus 4.7 blog table: claude-mythos = 83.1%." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "tau2_bench_retail", "score": 91.7, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 91.7.", "candidates": [ { "score": 91.7, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench retail 91.7% (Thinking Max)" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "tau2_bench_telecom", "score": 97.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 97.9.", "candidates": [ { "score": 97.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench telecom 97.9%" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mcpatlas", "score": 61.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 61.3.", "candidates": [ { "score": 61.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MCP Atlas 61.3%" } ] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "finance_agent", "score": 63.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 63.3." }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "mmmlu", "score": 89.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "avg 14 non-English languages", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 89.3.", "candidates": [ { "score": 89.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMLU 89.3%" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mcpatlas", "score": 43.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 43.8.", "candidates": [ { "score": 43.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MCP Atlas 43.8%" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "browsecomp", "score": 43.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "non-thinking", "effort": "max", "tools": "agentic (web search + fetch + programmatic tool calling, context compaction at 50k up to 10M)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 43.9.", "candidates": [ { "score": 24.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=24.1." }, { "score": 24.1, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-4.7 blog: claude-sonnet-4.5=24.1." }, { "score": 19.6, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: claude-sonnet-4.5=19.6." } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "finance_agent", "score": 54.5, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 54.5." }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "gdpval_aa_elo", "score": 1276, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 1276." }, { "model_id": "claude-opus-4.6", "benchmark_id": "tau2_bench_retail", "score": 91.9, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 91.9.", "candidates": [ { "score": 91.9, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench retail 91.9% (Thinking Max)" } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "tau2_bench_telecom", "score": 99.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 99.3.", "candidates": [ { "score": 99.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench telecom 99.3%" } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mcpatlas", "score": 62.3, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 62.3.", "candidates": [ { "score": 65.2, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: claude-opus-4.5=65.2." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "finance_agent", "score": 58.8, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "agentic", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 58.8." }, { "model_id": "claude-opus-4.5", "benchmark_id": "gdpval_aa_elo", "score": 1416, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 1416." }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmmu_pro", "score": 70.6, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 70.6.", "candidates": [ { "score": 74.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: claude-opus-4.5=74.0." }, { "score": 70.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: claude-opus-4.5=70.8." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "tau2_bench_retail", "score": 85.3, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): \u03c4\u00b2-bench retail 85.3% (was 78.6 from Anthropic Sonnet 4.6 blog; demoted to candidate)", "candidates": [ { "score": 78.6, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: Reported by Anthropic Sonnet 4.6 blog (third-party)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "tau2_bench_telecom", "score": 98.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): \u03c4\u00b2-bench telecom 98.0% (was 89.2 from Anthropic Sonnet 4.6 blog; demoted to candidate)", "candidates": [ { "score": 89.2, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: Reported by Anthropic Sonnet 4.6 blog (third-party)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mmmlu", "score": 91.8, "reference_url": "https://deepmind.google/models/gemini/pro/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): MMMLU 91.8% (was 92.0 from Anthropic Sonnet 4.6 blog; demoted to candidate)", "candidates": [ { "score": 92.0, "reference_url": "https://www.anthropic.com/news/claude-sonnet-4-6", "source_type": "third_party", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Demoted from primary on https://deepmind.google/models/gemini/pro/ audit. Original notes: Reported by Anthropic Sonnet 4.6 blog (third-party)." }, { "score": 91.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMLU 91.8%" }, { "score": 90.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 90.6 (3rd-party Qwen self-test)." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "mmmlu", "score": 89.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 89.6 (xhigh reasoning effort).", "candidates": [ { "score": 91.0, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.4 blog table: 91.0. (demoted: superseded by GPT-5.2 own blog)" }, { "score": 89.6, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MMMLU 89.6%" }, { "score": 89.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MMMLU 89.6%" }, { "score": 89.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 89.5 (3rd-party Qwen self-test)." }, { "score": 90.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=90.3." } ] }, { "model_id": "gpt-5.5", "benchmark_id": "expert_swe", "score": 73.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", 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"harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 78.7." }, { "model_id": "gpt-5.5", "benchmark_id": "frontiermath_tier4", "score": 35.4, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 35.4.", "candidates": [ { "score": 39.6, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" } ] }, 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"finance_agent", "score": 60.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 60.0." }, { "model_id": "gpt-5.5", "benchmark_id": "ib_modeling", "score": 88.5, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 88.5." }, { "model_id": "gpt-5.5", "benchmark_id": "officeqa_pro", "score": 54.1, "reference_url": 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"matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 83.0." }, { "model_id": "gpt-5.4", "benchmark_id": "osworld", "score": 75.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 75.0." }, { "model_id": "gpt-5.4", "benchmark_id": "frontiermath_tier4", "score": 27.1, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 27.1." }, { "model_id": "gpt-5.4", "benchmark_id": "cybergym", "score": 79.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 79.0.", "candidates": [ { "score": 66.3, "reference_url": "https://z.ai/blog/glm-5.1", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5.1 blog: gpt-5.4=66.3." } ] }, { "model_id": "gpt-5.4", "benchmark_id": "ctf_internal", "score": 83.7, 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"reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 74.0." }, { "model_id": "gpt-5.4", "benchmark_id": "genebench", "score": 19.0, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.5 blog table: 19.0." }, { "model_id": "gpt-5.4", "benchmark_id": "tau2_bench_telecom", "score": 92.8, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": 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"judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 68.1." }, { "model_id": "gpt-5.4", "benchmark_id": "omnidocbench", "score": 0.109, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 0.109." }, { "model_id": "gpt-5.4", "benchmark_id": "graphwalks_bfs_0k_128k", "score": 93.0, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 93.0." }, { "model_id": "gpt-5.4", "benchmark_id": "graphwalks_parents_0k_128k", "score": 89.8, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 89.8." }, { "model_id": "gpt-5.4", "benchmark_id": "graphwalks_parents_256k_1m", "score": 32.4, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 32.4." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "gdpval_oai_woe", "score": 70.9, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 70.9 (xhigh reasoning effort)." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "toolathlon", "score": 51.9, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", 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"temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 54.0." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "ib_modeling", "score": 79.3, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 79.3." }, { "model_id": "gpt-5.3-codex", "benchmark_id": "officeqa", "score": 65.1, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 65.1." }, { "model_id": "gpt-5.2", "benchmark_id": "gdpval_oai_woe", "score": 70.9, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 70.9 (xhigh reasoning effort).", "candidates": [ { "score": 70.9, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.3-Codex blog: 70.9 (xhigh reasoning effort)." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "toolathlon", "score": 46.3, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 46.3 (xhigh reasoning effort).", "candidates": [ { "score": 46.3, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Toolathlon 46.3%" }, { "score": 43.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 43.8 (3rd-party Qwen self-test)." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "mcpatlas", "score": 60.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 60.6 (xhigh reasoning effort).", "candidates": [ { "score": 60.6, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: MCP Atlas 60.6%" }, { "score": 60.6, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: MCP Atlas 60.6%" }, { "score": 68.0, "reference_url": "https://z.ai/blog/glm-5", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "GLM-5 blog: gpt-5.2=68.0." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "finance_agent", "score": 59.5, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 59.5." }, { "model_id": "gpt-5.2", "benchmark_id": "ib_modeling", "score": 68.4, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 68.4 (xhigh reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "officeqa", "score": 63.1, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 63.1." }, { "model_id": "gpt-5.2", "benchmark_id": "frontier_science_research", "score": 25.2, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 25.2." }, { "model_id": "gpt-5.2", "benchmark_id": "frontiermath_tier4", "score": 14.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 14.6 (xhigh reasoning effort).", "candidates": [ { "score": 18.8, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-5.4 blog table: 18.8. (demoted: superseded by GPT-5.2 own blog)" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "graphwalks_bfs_0k_128k", "score": 94.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 94.0 (xhigh reasoning effort).", "candidates": [ { "score": 98.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=98.0." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "graphwalks_parents_0k_128k", "score": 89.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 89.0 (xhigh reasoning effort).", "candidates": [ { "score": 99.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=99.7." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "omnidocbench", "score": 0.14, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.4 blog table: 0.14.", "candidates": [ { "score": 0.143, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 edit distance 0.143" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "tau2_bench_telecom", "score": 98.7, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with prompt adjustment (Anthropic-style)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 98.7 (xhigh reasoning effort).", "candidates": [ { "score": 57.2, "reference_url": "https://openai.com/index/introducing-gpt-5-4/", "source_type": "official_blog", "reported_setting": { "note": "see primary" }, "notes": "OpenAI GPT-5.4 blog table 9: 57.2% (no prompt adjustment)." }, { "score": 98.7, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench telecom 98.7%" } ] }, { "model_id": "gpt-4.1", "benchmark_id": "tau2_bench_telecom", "score": 34.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with prompt adjustment (Anthropic-style)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-4.1=34.0 (high reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.3-codex", "benchmark_id": "cybersecurity_ctf", "score": 77.6, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 77.6 (xhigh reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.3-codex", "benchmark_id": "swelancer", "score": 81.4, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 81.4 (xhigh reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "cybersecurity_ctf", "score": 67.7, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.3-Codex blog: 67.7 (xhigh reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "swelancer", "score": 74.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 74.6 (xhigh reasoning effort).", "candidates": [ { "score": 48.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=48.9." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "charxiv_reasoning", "score": 82.1, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 82.1 (xhigh reasoning effort).", "candidates": [ { "score": 82.1, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 82.1%" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "tau2_bench_retail", "score": 82.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with prompt adjustment (Anthropic-style)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 82.0 (xhigh reasoning effort).", "candidates": [ { "score": 82.0, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ cross-model Performance table: \u03c4\u00b2-bench retail 82.0% (Thinking xhigh)" } ] }, { "model_id": "gpt-5.2", "benchmark_id": "hmmt_feb_2025", "score": 99.4, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog: 99.4 (xhigh reasoning effort).", "candidates": [ { "score": 100.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=100.0." }, { "score": 100.0, "reference_url": "https://llm-stats.com/benchmarks/hmmt-2025", "source_type": "third_party_aggregator", "reported_setting": { "effort": "pro" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.2 Pro, slug=gpt-5.2-pro-2025-12-11, provider=OpenAI" } ] }, { "model_id": "gpt-5.1", "benchmark_id": "swelancer", "score": 69.7, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 69.7.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "charxiv_reasoning", "score": 67.0, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (no-tools column)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 67.0.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "video_mmmu", "score": 82.9, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 82.9.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "tau2_bench_telecom", "score": 95.6, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with prompt adjustment (Anthropic-style)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 95.6.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "tau2_bench_retail", "score": 77.9, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "with prompt adjustment (Anthropic-style)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 77.9.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "mcpatlas", "score": 44.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 44.5.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "toolathlon", "score": 36.1, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 36.1.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "mmmlu", "score": 89.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 89.5.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "hmmt_feb_2025", "score": 96.3, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 96.3.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "frontiermath_tier4", "score": 12.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 12.5.", "candidates": [ { "score": 26.7, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "instant" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Instant, slug=gpt-5.1-instant-2025-11-12, provider=OpenAI" }, { "score": 26.7, "reference_url": "https://llm-stats.com/benchmarks/frontiermath", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 Thinking, slug=gpt-5.1-thinking-2025-11-12, provider=OpenAI" } ] }, { "model_id": "gpt-5.1", "benchmark_id": "graphwalks_bfs_0k_128k", "score": 76.8, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 76.8.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "graphwalks_parents_0k_128k", "score": 71.5, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 71.5.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "ib_modeling", "score": 59.1, "reference_url": "https://openai.com/index/introducing-gpt-5-2/", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 59.1.", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "tau2_bench_airline", "score": 67.0, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog: 67.0 (high reasoning effort).", "candidates": [] }, { "model_id": "gpt-5.1", "benchmark_id": "browsecomp_long_context_128k", "score": 90.0, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "reported_setting": { "mode": 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provider=OpenAI" } ] }, { "model_id": "gpt-5", "benchmark_id": "browsecomp_long_context_128k", "score": 90.0, "reference_url": "https://openai.com/index/gpt-5-1-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official with apply_patch", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 90.0.", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "aider_polyglot_diff", "score": 88.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (diff)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": 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"matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-5=65.7 (high reasoning effort).", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "factscore", "score": 2.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: gpt-5=2.8 (high reasoning effort).", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "graphwalks_bfs_0k_128k", "score": 78.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": 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"source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=88.3 (high reasoning effort).", "candidates": [] }, { "model_id": "o3-high", "benchmark_id": "collie", "score": 98.4, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-5 dev blog: o3-high=98.4 (high reasoning effort).", "candidates": [ { "score": 98.4, "reference_url": "https://llm-stats.com/benchmarks/collie", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o3 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" } ] }, { "model_id": 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"temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o1-high=74.3.", "candidates": [ { "score": 74.6, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (o1-high column): aime_2024=74.6 (alt measurement, mc=false)" }, { "score": 79.2, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1 (avg 16 trials)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog (third-party eval): o1 AIME-2024=79.2%/83.3% (parallel). BP primary=74.3 from gpt-4-1 blog." }, { "score": 74.3, "reference_url": "https://llm-stats.com/benchmarks/aime-2024", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o1 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" } ] }, { "model_id": "gpt-4o", "benchmark_id": "gpqa_diamond", "score": 46.0, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o=46.0.", "candidates": [ { "score": 52.5, "reference_url": "https://mistral.ai/news/mistral-medium-3", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "notes": "Mistral blog (third-party self-test) \u2014 52.5 vs current verified 46.0." } ] }, { "model_id": "gpt-4o-mini", "benchmark_id": "gpqa_diamond", "score": 40.2, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o-mini=40.2.", "candidates": [ { "score": 40.9, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): gpqa_diamond=40.9 (alt measurement, mc=false)" } ] }, { "model_id": "o1-high", "benchmark_id": "gpqa_diamond", "score": 75.7, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o1-high=75.7.", "candidates": [ { "score": 76.7, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 1 (o1-high column): gpqa_diamond=76.7 (alt measurement, mc=false)" }, { "score": 78.0, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o1 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" } ] }, { "model_id": "gpt-4o", "benchmark_id": "mmlu", "score": 85.7, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o=85.7.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "mmlu", "score": 82.0, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o-mini=82.0.", "candidates": [ { "score": 81.8, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): mmlu=81.8 (alt measurement, mc=false)" }, { "score": 82.2, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 82.2 (mc=false)." } ] }, { "model_id": "o1-high", "benchmark_id": "mmlu", "score": 91.8, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o1-high=91.8.", "candidates": [ { "score": 91.8, "reference_url": "https://llm-stats.com/benchmarks/mmlu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o1 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" } ] }, { "model_id": "gpt-4.1", "benchmark_id": "mmmlu", "score": 87.3, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1=87.3.", "candidates": [] }, { "model_id": "gpt-4.1-mini", "benchmark_id": "mmmlu", "score": 78.5, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-mini=78.5.", "candidates": [] }, { "model_id": "gpt-4.1-nano", "benchmark_id": "mmmlu", "score": 66.9, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.1-nano=66.9.", "candidates": [] }, { "model_id": "gpt-4o", "benchmark_id": "mmmlu", "score": 81.4, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o=81.4.", "candidates": [ { "score": 81.5, "reference_url": "https://openai.com/index/introducing-gpt-4-5/", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-4.5 blog: gpt-4o=81.5." } ] }, { "model_id": "gpt-4o-mini", "benchmark_id": "mmmlu", "score": 70.5, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o-mini=70.5.", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "mmmlu", "score": 87.7, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o1-high=87.7.", "candidates": [ { "score": 87.7, "reference_url": "https://llm-stats.com/benchmarks/mmmlu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o1 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" } ] }, { "model_id": "o3-mini-high", "benchmark_id": "mmmlu", "score": 80.7, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: o3-mini-high=80.7.", "candidates": [ { "score": 81.1, "reference_url": "https://openai.com/index/introducing-gpt-4-5/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "OpenAI GPT-4.5 blog: o3-mini-high=81.1." }, { "score": 79.5, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog (third-party eval): o3-mini-high MMMLU=79.5%. BP primary=80.7." } ] }, { "model_id": "gpt-4.5", "benchmark_id": "mmmlu", "score": 85.1, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4.5=85.1.", "candidates": [] }, { "model_id": "gpt-4o", "benchmark_id": "swe_bench_verified", "score": 30.7, "reference_url": "https://openai.com/index/introducing-gpt-4-5/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official (GPT-4.5 blog)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.5 blog: gpt-4o=30.7. 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DROPPED: source uses 477/500 subset (omit 23 problems), not full SWE-bench Verified.", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "swe_bench_verified", "score": 48.9, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash+editor)", "sampling": "pass@1", "judge": "rule-based", "harness": "Anthropic simple scaffold", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic 3.7 Sonnet blog (third-party eval): o1 SWE-bench Verified=48.9%. Note: diff scaffold from OpenAI. Overwrite dropped cell (41.0 from gpt-4-1 blog was dropped).", "candidates": [ { "score": 41.0, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "effort": "default (o1 base, not high)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" } ] }, { "model_id": "gpt-4o", "benchmark_id": "aider_polyglot_diff", "score": 18.2, "reference_url": "https://openai.com/index/gpt-4-1/", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "OpenAI GPT-4.1 blog: gpt-4o=18.2.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "aider_polyglot_diff", "score": 2.7, "reference_url": 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Footnote: originally reported by OpenAI but later deleted. 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Model Card (April 15 2025): HiddenMath 63.5%", "candidates": [] }, { "model_id": "gemini-1.5-flash", "benchmark_id": "mrcr_v1", "score": 71.9, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 71.9%", "candidates": [] }, { "model_id": "gemini-1.5-pro", "benchmark_id": "mrcr_v1", "score": 82.6, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 82.6%", "candidates": [] }, { "model_id": "gemini-2.0-flash-lite", "benchmark_id": "mrcr_v1", "score": 58.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 58.0%", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "mrcr_v1", "score": 70.5, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 70.5%", "candidates": [] }, { "model_id": "gemini-1.5-flash", "benchmark_id": "mmmu", "score": 62.3, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MMMU 62.3%", "candidates": [] }, { "model_id": "gemini-1.5-pro", "benchmark_id": "mmmu", "score": 65.9, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MMMU 65.9%", "candidates": [] }, { "model_id": "gemini-2.0-flash-lite", "benchmark_id": "mmmu", "score": 68.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): MMMU 68.0%", "candidates": [] }, { "model_id": "gemini-1.5-flash", "benchmark_id": "covost2", "score": 37.4, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): CoVoST2 21-lang BLEU 37.4 BLEU", "candidates": [] }, { "model_id": "gemini-1.5-pro", "benchmark_id": "covost2", "score": 40.1, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): CoVoST2 21-lang BLEU 40.1 BLEU", "candidates": [] }, { "model_id": "gemini-2.0-flash-lite", "benchmark_id": "covost2", "score": 38.4, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): CoVoST2 21-lang BLEU 38.4 BLEU", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "covost2", "score": 39.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): CoVoST2 21-lang BLEU 39.0 BLEU", "candidates": [] }, { "model_id": "gemini-1.5-flash", "benchmark_id": "egoschema", "score": 66.8, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): EgoSchema test 66.8%", "candidates": [] }, { "model_id": "gemini-1.5-pro", "benchmark_id": "egoschema", "score": 71.2, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): EgoSchema test 71.2%", "candidates": [] }, { "model_id": "gemini-2.0-flash-lite", "benchmark_id": "egoschema", "score": 67.2, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): EgoSchema test 67.2%", "candidates": [] }, { "model_id": "gemini-2.0-flash", "benchmark_id": "egoschema", "score": 71.1, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.0 Flash Model Card (April 15 2025): EgoSchema test 71.1%", "candidates": [] }, { "model_id": "grok-3-beta", "benchmark_id": "mmmu", "score": 73.2, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=73.2.", "candidates": [ { "score": 76.0, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "extended", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog (third-party eval): Grok 3 Beta extended thinking MMMU=76.0%/78.0%. BP primary=73.2 from x.ai (different mode?)." } ] }, { "model_id": "grok-3-beta", "benchmark_id": "loft_128k", "score": 83.3, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=83.3.", "candidates": [] }, { "model_id": "grok-3-beta", "benchmark_id": "egoschema", "score": 74.5, "reference_url": "https://x.ai/news/grok-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=74.5.", "candidates": [] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "cybergym", "score": 65.2, "reference_url": "https://anthropic.com/claude-sonnet-4-6-system-card", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "notes": "no thinking, default effort/temperature/top_p, with think tool for interleaved thinking" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Claude Sonnet 4.6 System Card section 2.15: CyberGym 65.2% pass@1 over 1507 targeted vuln reproduction tasks. matches_canonical=false (no thinking + default effort, vs canonical thinking+max).", "candidates": [] }, { "model_id": "claude-sonnet-4.6", "benchmark_id": "vending_bench_2", "score": 7204.14, "reference_url": "https://anthropic.com/claude-sonnet-4-6-system-card", "reported_setting": { "mode": "thinking", "effort": "max", "tools": "none", "sampling": "final balance after 1-year simulation", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "notes": "max effort" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Claude Sonnet 4.6 System Card section 2.13: Vending-Bench 2 final balance $7,204.14 with Max effort (vs Opus 4.6 SOTA $8017.59). High-effort run scored $6,625.10 (kept as candidate setting note). Mean cost per run $265.03.", "candidates": [ { "score": 6625.1, "reference_url": "https://anthropic.com/claude-sonnet-4-6-system-card", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "final balance after 1-year simulation", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Same source, high effort variant." } ] }, { "model_id": "grok-4.1", "benchmark_id": "eq_bench3", "score": 1585, "reference_url": "https://x.ai/news/grok-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "LLM judge", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4.1 blog: grok-4.1=1585 (Elo Normalized).", "candidates": [] }, { "model_id": "grok-4.1", "benchmark_id": "creative_writing_v3", "score": 1708.6, "reference_url": "https://x.ai/news/grok-4-1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "LLM judge", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "xAI Grok 4.1 blog: grok-4.1=1708.6 (Elo Normalized).", "candidates": [ { "score": 172190.0, "reference_url": "https://llm-stats.com/benchmarks/creative-writing-v3", "source_type": "third_party_aggregator", "reported_setting": { "effort": "thinking" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4.1 Thinking, slug=grok-4.1-thinking-2025-11-17, provider=xAI" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "mmlu_redux", "score": 92.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MMLU-Redux 92.7", "candidates": [ { "score": 93.8, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 93.1, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "bfcl_v3", "score": 70.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: BFCL v3 70.8", "candidates": [ { "score": 71.9, "reference_url": "https://llm-stats.com/benchmarks/bfcl-v3", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 70.9, "reference_url": "https://llm-stats.com/benchmarks/bfcl-v3", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "multi_if", "score": 71.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: Multi-IF 71.9", "candidates": [ { "score": 80.6, "reference_url": "https://llm-stats.com/benchmarks/multi-if", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "score": 77.5, "reference_url": "https://llm-stats.com/benchmarks/multi-if", "source_type": "third_party_aggregator", "reported_setting": { "mode": "instruct", "snapshot": "2507" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" } ] }, { "model_id": "qwen3-235b", "benchmark_id": "mt_aime_2024", "score": 80.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MT-AIME2024 80.8", "candidates": [] }, { "model_id": "qwen3-235b", "benchmark_id": "mmmlu", "score": 84.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MMMLU 14 languages 84.3", "candidates": [] }, { "model_id": "qwen3-235b", "benchmark_id": "livebench", "score": 77.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: LiveBench 2024-11-25 77.1", "candidates": [] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "chinese_simpleqa", "score": 84.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 84.4.", "candidates": [] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "mrcr_v1", "score": 83.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 83.5.", "candidates": [] }, { "model_id": "deepseek-v4-pro", "benchmark_id": "corpusqa_1m", "score": 62.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 62.0.", "candidates": [ { "score": 62.0, "reference_url": "https://llm-stats.com/benchmarks/corpusqa-1m", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" } ] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "chinese_simpleqa", "score": 78.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 78.9.", "candidates": [] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "mrcr_v1", "score": 78.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 78.7.", "candidates": [] }, { "model_id": "deepseek-v4-flash", "benchmark_id": "corpusqa_1m", "score": 60.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "Max", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 60.5.", "candidates": [ { "score": 60.5, "reference_url": "https://llm-stats.com/benchmarks/corpusqa-1m", "source_type": "third_party_aggregator", "reported_setting": { "effort": "max" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" } ] }, { "model_id": "gpt-5.4", "benchmark_id": "mmlu_pro", "score": 87.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 87.5.", "candidates": [] }, { "model_id": "kimi-k2.6", "benchmark_id": "mmlu_pro", "score": 87.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 87.1.", "candidates": [] }, { "model_id": "glm-5.1", "benchmark_id": "mmlu_pro", "score": 86.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 86.0.", "candidates": [] }, { "model_id": "claude-opus-4.6", "benchmark_id": "chinese_simpleqa", "score": 76.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 76.4.", "candidates": [] }, { "model_id": "gpt-5.4", "benchmark_id": "chinese_simpleqa", "score": 76.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 76.8.", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "chinese_simpleqa", "score": 85.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 85.9.", "candidates": [] }, { "model_id": "kimi-k2.6", "benchmark_id": "chinese_simpleqa", "score": 75.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 75.9.", "candidates": [] }, { "model_id": "glm-5.1", "benchmark_id": "chinese_simpleqa", "score": 75.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 75.0.", "candidates": [] }, { "model_id": "gpt-5.4", "benchmark_id": "codeforces_rating", "score": 3168, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 3168.", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "imo_answerbench", "score": 81.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 81.0.", "candidates": [ { "score": 91.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.6", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "(merged from imoanswerbench) Kimi K2.6 model card: gemini-3.1-pro=91.0." } ] }, { "model_id": "claude-opus-4.6", "benchmark_id": "matharena_apex_2025", "score": 34.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 34.5.", "candidates": [] }, { "model_id": "gpt-5.4", "benchmark_id": "matharena_apex_2025", "score": 54.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 54.1.", "candidates": [] }, { "model_id": "kimi-k2.6", "benchmark_id": "matharena_apex_2025", "score": 24.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 24.0.", "candidates": [] }, { "model_id": "glm-5.1", "benchmark_id": "matharena_apex_2025", "score": 11.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 11.5.", "candidates": [] }, { "model_id": "claude-opus-4.6", "benchmark_id": "mrcr_v1", "score": 92.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 92.9.", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "mrcr_v1", "score": 76.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 76.3.", "candidates": [] }, { "model_id": "claude-opus-4.6", "benchmark_id": "corpusqa_1m", "score": 71.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 71.7.", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "corpusqa_1m", "score": 53.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 53.8.", "candidates": [] }, { "model_id": "glm-5.1", "benchmark_id": "swe_bench_multilingual", "score": 73.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 73.3.", "candidates": [] }, { "model_id": "gpt-5.4", "benchmark_id": "gdpval_aa_elo", "score": 1674, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 1674.", "candidates": [] }, { "model_id": "gemini-3.1-pro", "benchmark_id": "gdpval_aa_elo", "score": 1314, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 1314.", "candidates": [ { "score": 1317, "reference_url": "https://deepmind.google/models/gemini/pro/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/pro/ (model card) Performance table: GDPval-AA Elo 1317 (col 1, Gemini 3.1 Pro Thinking High). Differs from primary 1314 from DeepSeek V4-Pro 3rd-party self-test." } ] }, { "model_id": "kimi-k2.6", "benchmark_id": "gdpval_aa_elo", "score": 1482, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 1482.", "candidates": [] }, { "model_id": "glm-5.1", "benchmark_id": "gdpval_aa_elo", "score": 1535, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 1535.", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "mmlu_redux", "score": 90.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 90.9", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "bfcl_v3", "score": 70.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 70.3", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "multi_if", "score": 73.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 73.0", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "mt_aime_2024", "score": 75.0, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 75.0", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "mmmlu", "score": 80.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 80.6", "candidates": [] }, { "model_id": "qwen3-32b", "benchmark_id": "livebench", "score": 74.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveBench 2024-11-25 74.9", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "mmlu_redux", "score": 89.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 89.5", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "bfcl_v3", "score": 69.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 69.1", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "multi_if", "score": 72.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 72.2", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "mt_aime_2024", "score": 73.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 73.9", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "mmmlu", "score": 78.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 78.4", "candidates": [] }, { "model_id": "qwen3-30b-a3b", "benchmark_id": "livebench", "score": 74.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveBench 2024-11-25 74.3", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "mmlu_redux", "score": 88.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 88.6", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "bfcl_v3", "score": 70.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 70.4", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "multi_if", "score": 74.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 74.8", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "mt_aime_2024", "score": 73.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 73.3", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "mmmlu", "score": 77.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 77.9", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "livebench", "score": 71.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveBench 2024-11-25 71.3", "candidates": [] }, { "model_id": "qwen3-14b", "benchmark_id": "ifeval", "score": 85.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: IFEval strict 85.4", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "mmlu_redux", "score": 87.5, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 87.5", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "bfcl_v3", "score": 68.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 68.1", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "multi_if", "score": 71.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 71.2", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "mt_aime_2024", "score": 65.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 65.4", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "mmmlu", "score": 74.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 74.4", "candidates": [] }, { "model_id": "qwen3-8b", "benchmark_id": "livebench", "score": 67.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveBench 2024-11-25 67.1", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "mmlu_redux", "score": 83.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 83.7", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "bfcl_v3", "score": 65.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 65.9", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "multi_if", "score": 66.3, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 66.3", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "mt_aime_2024", "score": 60.7, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 60.7", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "mmmlu", "score": 69.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 69.8", "candidates": [] }, { "model_id": "qwen3-4b", "benchmark_id": "livebench", "score": 63.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: LiveBench 2024-11-25 63.6", "candidates": [] }, { "model_id": "qwen3-1.7b", "benchmark_id": "mmlu_redux", "score": 73.9, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 73.9", "candidates": [] }, { "model_id": "qwen3-1.7b", "benchmark_id": "bfcl_v3", "score": 56.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 56.6", "candidates": [ { "score": 55.41, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=55.41. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "multi_if", "score": 51.2, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 51.2", "candidates": [ { "score": 60.33, "reference_url": "https://www.liquid.ai/blog/lfm2-5-1-2b-thinking-on-device-reasoning-under-1gb", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (mean of 5 runs)", "judge": "rule-based", "harness": "official (LFM eval, third-party)", "prompt_style": "default", "temperature": "default" }, "notes": "Liquid AI LFM2.5-1.2B-Thinking blog: qwen3-1.7b=60.33. (third-party self-test by Liquid AI)" } ] }, { "model_id": "qwen3-1.7b", "benchmark_id": "mt_aime_2024", "score": 36.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 36.1", "candidates": [] }, { "model_id": "qwen3-1.7b", "benchmark_id": "mmmlu", "score": 59.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 59.1", "candidates": [] }, { "model_id": "qwen3-0.6b", "benchmark_id": "mmlu_redux", "score": 55.6, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMLU-Redux 55.6", "candidates": [] }, { "model_id": "qwen3-0.6b", "benchmark_id": "bfcl_v3", "score": 46.4, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: BFCL v3 46.4", "candidates": [] }, { "model_id": "qwen3-0.6b", "benchmark_id": "multi_if", "score": 36.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: Multi-IF 36.1", "candidates": [] }, { "model_id": "qwen3-0.6b", "benchmark_id": "mt_aime_2024", "score": 7.8, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MT-AIME2024 7.8", "candidates": [] }, { "model_id": "qwen3-0.6b", "benchmark_id": "mmmlu", "score": 43.1, "reference_url": "https://arxiv.org/abs/2505.09388", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Qwen3 tech report Thinking: MMMLU 14 langs 43.1", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "hmmt_feb_2025", "score": 79.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=79.2.", "candidates": [ { "score": 74.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: claude-sonnet-4.5=74.6." } ] }, { "model_id": "gpt-5", "benchmark_id": "hmmt_feb_2025", "score": 88.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=88.3.", "candidates": [ { "score": 93.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: gpt-5=93.3." }, { "score": 93.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from hmmt_2025) OpenAI GPT-5 dev blog: gpt-5=93.3 (high reasoning effort)." }, { "score": 93.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "notes": "Dev blog says HMMT 2025 no tools=93.3% for GPT-5 (high). Primary=88.3 from DeepSeek third-party self-test." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "hmmt_feb_2025", "score": 97.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=97.5.", "candidates": [ { "score": 97.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2.5 model card: gemini-3-pro=97.3." }, { "score": 97.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=97.3." }, { "score": 97.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from hmmt_2025) Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): hmmt_2025 97.3 (3rd-party Qwen self-test). [R5d: prior unverified value 97.5 from https://matharena.ai/ deleted.]" } ] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "hmmt_feb_2025", "score": 89.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: kimi-k2-thinking=89.4.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "hmmt_feb_2025", "score": 92.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=92.5.", "candidates": [ { "score": 83.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=83.6." }, { "score": 90.2, "reference_url": "https://llm-stats.com/benchmarks/hmmt-2025", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 83.6, "reference_url": "https://llm-stats.com/benchmarks/hmmt-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "hmmt_nov_2025", "score": 81.7, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=81.7.", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "imo_answerbench", "score": 76.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=76.0.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "imo_answerbench", "score": 83.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gemini-3-pro=83.3.", "candidates": [ { "score": 83.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "(merged from imoanswerbench) Kimi K2.5 model card: gemini-3-pro=83.1." } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "imo_answerbench", "score": 78.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=78.3.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "swe_bench_multilingual", "score": 68.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=68.0.", "candidates": [ { "score": 64.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from swe_multilingual) Doubao Seed 2.0 model card: claude-sonnet-4.5=64.1." } ] }, { "model_id": "gpt-5", "benchmark_id": "swe_bench_multilingual", "score": 55.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: gpt-5=55.3.", "candidates": [] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "swe_bench_multilingual", "score": 61.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: kimi-k2-thinking=61.1.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "swe_bench_multilingual", "score": 56.5, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: minimax-m2=56.5.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "swe_bench_multilingual", "score": 70.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=70.2.", "candidates": [ { "score": 57.9, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=57.9." }, { "score": 70.2, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "mode": "thinking (DeepSeek-Reasoner endpoint)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" }, { "score": 57.9, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "variant": "exp" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V3.2-Exp, slug=deepseek-v3.2-exp, provider=DeepSeek" } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "tau2_bench_airline", "score": 63.8, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=63.8.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "tau2_bench_retail", "score": 81.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=81.1.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "tau2_bench_telecom", "score": 96.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3.2 tech report Table 2: deepseek-v3.2=96.2.", "candidates": [ { "score": 34, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=34." } ] }, { "model_id": "kimi-k2", "benchmark_id": "mmlu_redux", "score": 92.7, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MMLU-Redux EM 92.7", "candidates": [ { "score": 92.7, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" }, { "score": 92.7, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "swe_bench_multilingual", "score": 47.3, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SWE-bench Multilingual Pass@1 47.3", "candidates": [ { "score": 55.9, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=55.9." }, { "score": 47.3, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 47.3, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-multilingual", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "tau2_bench_retail", "score": 70.6, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: Tau2 retail Avg@4 70.6", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "tau2_bench_airline", "score": 56.5, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: Tau2 airline Avg@4 56.5", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "tau2_bench_telecom", "score": 65.8, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: Tau2 telecom Avg@4 65.8", "candidates": [ { "score": 73, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: kimi-k2=73." } ] }, { "model_id": "kimi-k2", "benchmark_id": "supergpqa", "score": 57.2, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1 (avg of 4-64 trials per benchmark)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SuperGPQA Acc 57.2", "candidates": [ { "score": 57.2, "reference_url": "https://llm-stats.com/benchmarks/supergpqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" }, { "score": 57.2, "reference_url": "https://llm-stats.com/benchmarks/supergpqa", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" } ] }, { "model_id": "kimi-k2", "benchmark_id": "livebench", "score": 76.4, "reference_url": "https://arxiv.org/abs/2507.20534", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none 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"prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: Vibe-Eval (Reka) 65.4 (Gemini-as-judge)", "candidates": [] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "mrcr_v1", "score": 74.0, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: MRCR (v1) 128k average 74", "candidates": [] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "global_mmlu_lite", "score": 88.4, "reference_url": "https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: Global MMLU Lite 88.4", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "mmlu", "score": 78.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=78.2.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "mmlu", "score": 80.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=80.6.", "candidates": [ { "score": 80.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu", "source_type": "third_party_aggregator", "reported_setting": { "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V2.5, slug=deepseek-v2.5, provider=DeepSeek" } ] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "mmlu", "score": 85.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=85.3.", "candidates": [ { "score": 85.5, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 85.5 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "mmlu", "score": 88.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=88.6.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "mmlu", "score": 88.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=88.3.", "candidates": [ { "score": 89.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 89.5 (mc=false)." } ] }, { "model_id": "gpt-4o-0513", "benchmark_id": "mmlu", "score": 87.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=87.2.", "candidates": [ { "score": 88.1, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): mmlu=88.1 (alt measurement, mc=false)" }, { "score": 88.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 88.5 (mc=false)." }, { "score": 89.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 89.2 (mc=false)." } ] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "mmlu_redux", "score": 77.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=77.9.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "mmlu_redux", "score": 80.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=80.3.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "mmlu_redux", "score": 85.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=85.6.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "mmlu_redux", "score": 86.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=86.2.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "mmlu_redux", "score": 88.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=88.9.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "mmlu_redux", "score": 88.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=88.0.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "mmlu_redux", "score": 89.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=89.1.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "mmlu_pro", "score": 58.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=58.5.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "mmlu_pro", "score": 66.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=66.2.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "mmlu_pro", "score": 71.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=71.6.", "candidates": [ { "score": 69.6, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): mmlu_pro=69.6 (alt measurement, mc=false)" } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "mmlu_pro", "score": 73.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=73.3.", "candidates": [ { "score": 73.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 73.0 (mc=false)." } ] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "mmlu_pro", "score": 78.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=78.0.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "mmlu_pro", "score": 72.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=72.6.", "candidates": [ { "score": 73.0, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): mmlu_pro=73.0 (alt measurement, mc=false)" }, { "score": 73.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (gpt-4o-0513 column): mmlu_pro=73.5 (alt measurement, mc=false)" }, { "score": 77.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 77.9 (mc=false)." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "mmlu_pro", "score": 75.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=75.9.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "drop", "score": 83.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=83.0.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "drop", "score": 87.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=87.8.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "drop", "score": 76.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=76.7.", "candidates": [ { "score": 34.2, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 34.2 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "drop", "score": 88.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=88.7.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "drop", "score": 88.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=88.3.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "drop", "score": 83.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=83.7.", "candidates": [ { "score": 80.9, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): drop=80.9 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-v3", "benchmark_id": "drop", "score": 91.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=91.6.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "ifeval", "score": 57.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=57.7.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "ifeval", "score": 80.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=80.6.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "ifeval", "score": 84.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=84.1.", "candidates": [ { "score": 85.0, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): ifeval=85.0 (alt measurement, mc=false)" }, { "score": 87.6, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 87.6 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "ifeval", "score": 86.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=86.0.", "candidates": [ { "score": 88.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 88.6 (mc=false)." } ] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "ifeval", "score": 86.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=86.5.", "candidates": [ { "score": 90.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 90.2 (mc=false)." } ] }, { "model_id": "gpt-4o-0513", "benchmark_id": "ifeval", "score": 84.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=84.3.", "candidates": [ { "score": 84.8, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): ifeval=84.8 (alt measurement, mc=false)" }, { "score": 81.8, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (gpt-4o-0513 column): ifeval=81.8 (alt measurement, mc=false)" }, { "score": 86.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 86.1 (mc=false)." }, { "score": 83.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 83.8 (mc=false)." } ] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "gpqa_diamond", "score": 35.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=35.3.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "gpqa_diamond", "score": 41.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=41.3.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "gpqa_diamond", "score": 49.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=49.0.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "gpqa_diamond", "score": 51.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=51.1.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "gpqa_diamond", "score": 65.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=65.0.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "gpqa_diamond", "score": 49.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=49.9.", "candidates": [ { "score": 50.6, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): gpqa_diamond=50.6 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "simpleqa", "score": 9.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=9.0.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "simpleqa", "score": 10.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=10.2.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "simpleqa", "score": 9.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=9.1.", "candidates": [ { "score": 10.2, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): simpleqa=10.2 (alt measurement, mc=false)" } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "simpleqa", "score": 17.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=17.1.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "simpleqa", "score": 28.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=28.4.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "simpleqa", "score": 38.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=38.2.", "candidates": [ { "score": 39.4, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): simpleqa=39.4 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-v3", "benchmark_id": "simpleqa", "score": 24.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=24.9.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "frames", "score": 66.9, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=66.9.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "frames", "score": 65.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=65.4.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "frames", "score": 69.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=69.8.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "frames", "score": 70.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=70.0.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "frames", "score": 72.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=72.5.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "frames", "score": 80.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=80.5.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "frames", "score": 73.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=73.3.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "longbench_v2", "score": 31.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=31.6.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "longbench_v2", "score": 35.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=35.4.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "longbench_v2", "score": 39.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=39.4.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "longbench_v2", "score": 36.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=36.1.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "longbench_v2", "score": 41.0, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=41.0.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "longbench_v2", "score": 48.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=48.1.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "longbench_v2", "score": 48.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=48.7.", "candidates": [] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "humaneval", "score": 69.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=69.3.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "humaneval", "score": 77.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=77.4.", "candidates": [ { "score": 89.0, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "source_type": "third_party_aggregator", "reported_setting": { "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V2.5, slug=deepseek-v2.5, provider=DeepSeek" } ] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "humaneval", "score": 77.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=77.3.", "candidates": [ { "score": 80.4, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): humaneval=80.4 (alt measurement, mc=false)" }, { "score": 78.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 78.5 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "humaneval", "score": 77.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=77.2.", "candidates": [ { "score": 76.7, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 76.7 (mc=false)." } ] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "humaneval", "score": 81.7, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=81.7.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "humaneval", "score": 80.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=80.5.", "candidates": [ { "score": 90.6, "reference_url": "https://arxiv.org/abs/2412.08905", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): humaneval=90.6 (alt measurement, mc=false)" } ] }, { "model_id": "deepseek-v2-0506", "benchmark_id": "livecodebench", "score": 18.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2-0506=18.8.", "candidates": [] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "livecodebench", "score": 29.2, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=29.2.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "livecodebench", "score": 31.1, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=31.1.", "candidates": [ { "score": 26.3, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 26.3 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "livecodebench", "score": 28.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=28.4.", "candidates": [ { "score": 29.3, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 29.3 (mc=false)." } ] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "livecodebench", "score": 36.3, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=36.3.", "candidates": [ { "score": 38.9, "reference_url": "https://arxiv.org/abs/2501.12948", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek R1 paper Table 15: claude-3.5-sonnet=38.9." } ] }, { "model_id": "gpt-4o-0513", "benchmark_id": "livecodebench", "score": 33.4, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: gpt-4o-0513=33.4.", "candidates": [ { "score": 32.9, "reference_url": "https://arxiv.org/abs/2501.12948", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepSeek R1 paper Table 15: gpt-4o-0513=32.9." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "livecodebench", "score": 40.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v3=40.5.", "candidates": [ { "score": 33.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 33.5 (mc=false)." } ] }, { "model_id": "deepseek-v2.5-0905", "benchmark_id": "swe_bench_verified", "score": 22.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: deepseek-v2.5-0905=22.6.", "candidates": [ { "score": 16.8, "reference_url": "https://llm-stats.com/benchmarks/swe-bench-verified", "source_type": "third_party_aggregator", "reported_setting": { "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V2.5, slug=deepseek-v2.5, provider=DeepSeek" } ] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "swe_bench_verified", "score": 23.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=23.8.", "candidates": [ { "score": 33.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 33.0 (mc=false)." } ] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "swe_bench_verified", "score": 24.5, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=24.5.", "candidates": [ { "score": 33.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 33.4 (mc=false)." } ] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "swe_bench_verified", "score": 50.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: claude-3.5-sonnet=50.8.", "candidates": [ { "score": 49.0, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "source_type": "official_blog", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (bash+editor)", "sampling": "pass@1", "judge": "rule-based", "harness": "simple bash+editor scaffold", "prompt_style": "default + planning tool", "temperature": "default" }, "notes": "Anthropic 3.7 Sonnet blog cross-model: Claude 3.5 Sonnet (new) SWE-bench Verified=49.0%; differs from arxiv 50.8%" } ] }, { "model_id": "gpt-4o-0513", "benchmark_id": 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}, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "aider_polyglot_diff", "score": 7.6, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=7.6.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "aider_polyglot_diff", "score": 5.8, "reference_url": "https://arxiv.org/abs/2412.19437", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": 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}, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MCP-Mark 46.1", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "toolathlon", "score": 38.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: Tool Decathlon 38.3", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "browsecomp_zh", "score": 70.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: BrowseComp-zh 70.3", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "global_piqa", "score": 89.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: Global PIQA 89.8", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "mmmu_pro", "score": 79.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MMMU-Pro 79.0", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "mathvista_mini", "score": 90.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: MathVista (mini) 90.3", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "charxiv_reasoning", "score": 80.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: CharXiv RQ 80.8", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "ocrbench", "score": 93.1, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: OCRBench 93.1", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "screenspot_pro", "score": 65.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: ScreenSpot Pro 65.6", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "video_mme", "score": 87.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: Video-MME with subtitle 87.5", "candidates": [] }, { "model_id": "qwen3.5-397b", "benchmark_id": "video_mmmu", "score": 84.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table: Video-MMU 84.7", "candidates": [] }, { "model_id": "kimi-k2.5", "benchmark_id": "hmmt_feb_2025", "score": 95.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=95.4.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "hmmt_feb_2025", "score": 92.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=92.9.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "charxiv_reasoning", "score": 67.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=67.2.", "candidates": [ { "score": 68.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 68.5 (3rd-party Qwen self-test)." }, { "score": 65.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from charxiv_rq) Doubao Seed 2.0 model card: claude-opus-4.5=65.5." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "mathvision", "score": 83.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=83.0.", "candidates": [ { "score": 86.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=86.8." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mathvision", "score": 77.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=77.1.", "candidates": [ { "score": 74.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 74.3 (3rd-party Qwen self-test)." }, { "score": 74.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: claude-opus-4.5=74.3." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mathvision", "score": 86.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=86.1.", "candidates": [ { "score": 86.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 86.6 (3rd-party Qwen self-test)." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "mathvista_mini", "score": 82.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=82.8.", "candidates": [ { "score": 83.1, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 83.1 (3rd-party Qwen self-test)." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mathvista_mini", "score": 80.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=80.2.", "candidates": [ { "score": 80.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 80.0 (3rd-party Qwen self-test)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "mathvista_mini", "score": 89.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=89.8.", "candidates": [ { "score": 87.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 87.9 (3rd-party Qwen self-test)." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "zerobench_main", "score": 9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=9.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "ocrbench", "score": 80.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=80.7.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "ocrbench", "score": 86.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=86.5.", "candidates": [ { "score": 85.8, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 85.8 (3rd-party Qwen self-test)." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "ocrbench", "score": 90.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=90.3.", "candidates": [ { "score": 90.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 90.4 (3rd-party Qwen self-test)." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "omnidocbench_1.5", "score": 0.112, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=88.8. [Converted 88.8% (1-LED higher-better) \u2192 0.112 (edit distance lower-better) for cross-source consistency]", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "omnidocbench_1.5", "score": 0.143, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=85.7. [Converted 85.7% (1-LED higher-better) \u2192 0.143 (edit distance lower-better) for cross-source consistency]", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "omnidocbench_1.5", "score": 0.123, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=87.7. [Converted 87.7% (1-LED higher-better) \u2192 0.123 (edit distance lower-better) for cross-source consistency]", "candidates": [ { "score": 0.153, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "(merged from omnidocbench_1.5_lower) Doubao Seed 2.0 model card: claude-opus-4.5=0.153." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "omnidocbench_1.5", "score": 0.115, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=88.5. [Converted 88.5% (1-LED higher-better) \u2192 0.115 (edit distance lower-better) for cross-source consistency]", "candidates": [] }, { "model_id": "kimi-k2.5", "benchmark_id": "infovqa", "score": 92.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=92.6.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "infovqa", "score": 84, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=84.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "infovqa", "score": 76.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=76.9.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "infovqa", "score": 57.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", 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"thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: claude-opus-4.5=52.8." } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "scicode", "score": 38.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=38.9.", "candidates": [ { "score": 37.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=37.7." }, { "score": 38, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=38." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "ojbench", "score": 54.6, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=54.6.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "ojbench", "score": 68.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=68.5.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "ojbench", "score": 54.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=54.7.", "candidates": [ { "score": 38.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "notes": "Kimi K2-Thinking model card: deepseek-v3.2=38.2." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "livecodebench_v6", "score": 82.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=82.2.", "candidates": [ { "score": 84.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=84.8." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "longbench_v2", "score": 54.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=54.5.", "candidates": [ { "score": 63.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=63.2." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "longbench_v2", "score": 64.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=64.4.", "candidates": [ { "score": 65.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=65.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "longbench_v2", "score": 68.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=68.2.", "candidates": [ { "score": 67.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=67.4." } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "longbench_v2", "score": 59.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=59.8.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "aa_lcr", "score": 65.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=65.3.", "candidates": [ { "score": 70.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): alternate measurement 70.7 (3rd-party Qwen self-test)." }, { "score": 71.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gemini-3-pro=71.0." } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "aa_lcr", "score": 64.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=64.3.", "candidates": [ { "score": 69, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2 model card: deepseek-v3.2=69." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "widesearch", "score": 76.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=76.2.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "widesearch", "score": 57.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=57.0.", "candidates": [ { "score": 67.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gemini-3-pro=67.3." } ] }, { "model_id": "gpt-5.2", "benchmark_id": "deepsearchqa_acc", "score": 71.3, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=71.3.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "deepsearchqa_acc", "score": 76.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=76.1.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "deepsearchqa_acc", "score": 63.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=63.2.", "candidates": [ { "score": 63.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gemini-3-pro=63.9." } ] }, { "model_id": "deepseek-v3.2", "benchmark_id": "deepsearchqa_acc", "score": 60.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=60.9.", "candidates": [] }, { "model_id": "kimi-k2.5", "benchmark_id": "finsearchcompt23", "score": 67.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=67.8.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "finsearchcompt23", "score": 66.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=66.2.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "finsearchcompt23", "score": 49.9, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=49.9.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "finsearchcompt23", "score": 59.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=59.1.", "candidates": [] }, { "model_id": "kimi-k2.5", "benchmark_id": "seal_0", "score": 57.4, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: kimi-k2.5=57.4.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "seal_0", "score": 45.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gpt-5.2=45.0.", "candidates": [ { "score": 51.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "varies", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card: gpt-5.2=51.4." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "seal_0", "score": 47.7, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: claude-opus-4.5=47.7.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "seal_0", "score": 45.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: gemini-3-pro=45.5.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "seal_0", "score": 49.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2.5 model card: deepseek-v3.2=49.5.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "mmlu_redux", "score": 95.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmlu_redux 95.0 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mmlu_redux", "score": 95.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmlu_redux 95.6 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "mmlu_redux", "score": 95.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmlu_redux 95.9 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "kimi-k2.5", "benchmark_id": "mmlu_redux", "score": 94.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmlu_redux 94.5 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "supergpqa", "score": 67.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): supergpqa 67.9 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "supergpqa", "score": 70.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): supergpqa 70.6 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "supergpqa", "score": 74.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): supergpqa 74.0 (3rd-party Qwen self-test).", "candidates": [ { "score": 73.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=73.8." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "supergpqa", "score": 69.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): supergpqa 69.2 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "ifbench", "score": 75.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifbench 75.4 (3rd-party Qwen self-test).", "candidates": [ { "score": 75.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gpt-5.2=75.0." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "ifbench", "score": 58.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifbench 58.0 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "ifbench", "score": 70.4, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifbench 70.4 (3rd-party Qwen self-test).", "candidates": [ { "score": 70.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.5", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "MiniMax M2.5 model card: gemini-3-pro=70.0." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "ifbench", "score": 70.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): ifbench 70.2 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "multichallenge", "score": 57.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 57.9 (3rd-party Qwen self-test).", "candidates": [ { "score": 59.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=59.5." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "multichallenge", "score": 54.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 54.2 (3rd-party Qwen self-test).", "candidates": [ { "score": 59.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=59.0." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "multichallenge", "score": 64.2, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 64.2 (3rd-party Qwen self-test).", "candidates": [ { "score": 68.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=68.7." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "multichallenge", "score": 62.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 62.7 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "aime_2026", "score": 96.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): aime_2026 96.7 (3rd-party Qwen self-test).", "candidates": [ { "score": 97.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=97.5." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "aime_2026", "score": 93.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): aime_2026 93.3 (3rd-party Qwen self-test).", "candidates": [ { "score": 92.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=92.5." } ] }, { "model_id": "gemini-3-pro", "benchmark_id": "aime_2026", "score": 90.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): aime_2026 90.6 (3rd-party Qwen self-test).", "candidates": [ { "score": 93.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=93.3." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "mmmlu", "score": 86.0, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmlu 86.0 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "global_piqa", "score": 91.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): global_piqa 91.6 (3rd-party Qwen self-test).", "candidates": [ { "score": 93.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "source_type": "model_card", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=93.9." } ] }, { "model_id": "kimi-k2.5", "benchmark_id": "global_piqa", "score": 89.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): global_piqa 89.3 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "mcpmark", "score": 57.5, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 57.5 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mcpmark", "score": 42.3, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 42.3 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "mcpmark", "score": 53.9, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 53.9 (3rd-party Qwen self-test).", "candidates": [ { "score": 43.1, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "notes": "DS V3.2 tech report Table 2: 43.1. DS uses internal MCP environment (non-official). Primary (53.9) from Qwen3.5 model card; large gap likely harness difference." } ] }, { "model_id": "claude-opus-4.5", "benchmark_id": "screenspot_pro", "score": 45.7, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): screenspot_pro 45.7 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "video_mme", "score": 77.6, "reference_url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): video_mme 77.6 (3rd-party Qwen self-test).", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "hmmt_feb_2025", "score": 38.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2-Thinking model card: kimi-k2=38.8.", "candidates": [ { "score": 38.8, "reference_url": "https://llm-stats.com/benchmarks/hmmt-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 38.8, "reference_url": "https://llm-stats.com/benchmarks/hmmt-2025", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "grok-4", "benchmark_id": "hmmt_feb_2025", "score": 90.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Thinking", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2-Thinking model card: grok-4=90.0.", "candidates": [] }, { "model_id": 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"tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Kimi K2-Thinking model card: kimi-k2=25.5.", "candidates": [ { "score": 27.1, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2-Instruct", "source_type": "model_card", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "Kimi K2-Instruct model card: 27.1." }, { "score": 27.1, "reference_url": "https://llm-stats.com/benchmarks/ojbench", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct", "snapshot": "0905" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" }, { "score": 27.1, "reference_url": "https://llm-stats.com/benchmarks/ojbench", "source_type": "third_party_aggregator", "reported_setting": { "variant": "instruct (BP kimi-k2 is base)" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" } ] }, { "model_id": "gpt-oss-120b", "benchmark_id": "aider_polyglot_diff", "score": 44.4, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): Aider Polyglot 44.4 (high)", "candidates": [] }, { "model_id": "gpt-oss-120b", "benchmark_id": "mmmlu", "score": 81.3, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): MMMLU Average 81.3", "candidates": [ { "score": 83.8, "reference_url": "https://llm-stats.com/benchmarks/mmmlu", "source_type": "third_party_aggregator", "reported_setting": { "effort": "high" }, "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" } ] }, { "model_id": "gpt-oss-120b", "benchmark_id": "healthbench", "score": 57.6, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): HealthBench 57.6", "candidates": [] }, { "model_id": "gpt-oss-120b", "benchmark_id": "healthbench_hard", "score": 30.0, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "harmony", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "gpt-oss model card Table 3 (high effort): HealthBench Hard 30.0", "candidates": [] }, { "model_id": "gpt-oss-120b", "benchmark_id": "healthbench_consensus", "score": 89.9, "reference_url": "https://arxiv.org/abs/2508.10925", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "with tools", "sampling": "pass@1", "judge": "rule-based", 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"default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: deepseek-v3.2=63.5.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "xbench_deepsearch", "score": 72, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=72.", "candidates": [] }, { "model_id": "claude-sonnet-4", "benchmark_id": "xbench_deepsearch", "score": 64.6, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=64.6.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "xbench_deepsearch", "score": 66, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4.5=66.", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "xbench_deepsearch", "score": 56, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=56.", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "xbench_deepsearch", "score": 77.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gpt-5=77.8.", "candidates": [] }, { "model_id": "glm-4.6", "benchmark_id": "xbench_deepsearch", "score": 70, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: glm-4.6=70.", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "xbench_deepsearch", "score": 61, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: kimi-k2=61.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "xbench_deepsearch", "score": 71, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: deepseek-v3.2=71.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "tau2_bench_avg", "score": 77.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=77.2.", "candidates": [ { "score": 76.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "notes": "DS V3.2 tech report Table 2: 76.9. DS uses test model itself as user agent (non-standard harness). Primary (77.2) from MiniMax M2 official card." } ] }, { "model_id": "claude-sonnet-4", "benchmark_id": "tau2_bench_avg", "score": 65.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=65.5.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "tau2_bench_avg", "score": 84.7, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4.5=84.7.", "candidates": [ { "score": 87.2, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: \u03c42-bench avg 87.2% for Claude Sonnet 4.5 Thinking (third-party self-test by Google DeepMind). Primary 84.7 from MiniMax M2 model card." } ] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "tau2_bench_avg", "score": 59.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=59.2.", "candidates": [ { "score": 77.8, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: \u03c42-bench avg 77.8% for Gemini 2.5 Pro Thinking. Primary 59.2 from MiniMax M2 model card (third-party); official Flash page value is strongly preferred \u2014 see review notes." } ] }, { "model_id": "gpt-5", "benchmark_id": "tau2_bench_avg", "score": 80.1, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gpt-5=80.1.", "candidates": [ { "score": 80.2, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "notes": "DS V3.2 tech report Table 2: 80.2. DS uses test model itself as user agent (non-standard harness). Primary (80.1) from MiniMax M2 card uses simulated user." } ] }, { "model_id": "glm-4.6", "benchmark_id": "tau2_bench_avg", "score": 75.9, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: glm-4.6=75.9.", "candidates": [ { "score": 75.2, "reference_url": "https://z.ai/blog/glm-4.7", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+API", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "notes": "GLM-4.7 blog (same provider Zhipu): GLM-4.6 \u03c4\u00b2-Bench=75.2. Primary is 75.9 from MiniMax M2 card; discrepancy may be different eval dates or run conditions." } ] }, { "model_id": "kimi-k2", "benchmark_id": "tau2_bench_avg", "score": 70.3, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: kimi-k2=70.3.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "tau2_bench_avg", "score": 66.7, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: deepseek-v3.2=66.7.", "candidates": [ { "score": 80.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "source_type": "tech_report", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "notes": "DS V3.2 tech report Table 2: 80.3. DS uses the model itself as user agent for tau2-bench (airline=63.8, retail=81.1, telecom=96.2); non-standard harness. Primary (66.7) from MiniMax M2 card using official simulated-user harness." } ] }, { "model_id": "minimax-m2", "benchmark_id": "finsearchcomp_global", "score": 65.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=65.5.", "candidates": [] }, { "model_id": "claude-sonnet-4", "benchmark_id": "finsearchcomp_global", "score": 42, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=42.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "finsearchcomp_global", "score": 60.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4.5=60.8.", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "finsearchcomp_global", "score": 42.6, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=42.6.", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "finsearchcomp_global", "score": 63.9, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gpt-5=63.9.", "candidates": [] }, { "model_id": "glm-4.6", "benchmark_id": "finsearchcomp_global", "score": 29.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: glm-4.6=29.2.", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "finsearchcomp_global", "score": 29.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: kimi-k2=29.5.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "finsearchcomp_global", "score": 26.2, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: deepseek-v3.2=26.2.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "agentcompany", "score": 36, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=36.", "candidates": [] }, { "model_id": "claude-sonnet-4", "benchmark_id": "agentcompany", "score": 37, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=37.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "agentcompany", "score": 41, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4.5=41.", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "agentcompany", "score": 39.3, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: gemini-2.5-pro=39.3.", "candidates": [] }, { "model_id": "glm-4.6", "benchmark_id": "agentcompany", "score": 35, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: glm-4.6=35.", "candidates": [] }, { "model_id": "kimi-k2", "benchmark_id": "agentcompany", "score": 30, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": 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"prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: minimax-m2=36.", "candidates": [] }, { "model_id": "claude-sonnet-4", "benchmark_id": "scicode", "score": 40, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "MiniMax M2 model card: claude-sonnet-4=40.", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "scicode", "score": 43, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", 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"https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=93.3.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "matharena_apex_2025", "score": 1.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=1.6.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "matharena_apex_2025", "score": 20.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=20.3.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "apex_shortlist", "score": 80.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=80.1.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "apex_shortlist", "score": 26.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=26.0.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "apex_shortlist", "score": 47.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=47.4.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "apex_shortlist", "score": 71.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=71.4.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "apex_shortlist", "score": 82.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=82.1.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "beyond_aime", "score": 86.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=86.0.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "beyond_aime", "score": 57.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=57.0.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "beyond_aime", "score": 69.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=69.0.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "beyond_aime", "score": 83.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=83.0.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "beyond_aime", "score": 86.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=86.5.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "imo_answerbench", "score": 89.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=89.3.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "aethercode", "score": 73.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=73.8.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "aethercode", "score": 16.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=16.4.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "aethercode", "score": 31.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=31.6.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "aethercode", "score": 57.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=57.8.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "aethercode", "score": 60.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=60.6.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "livecodebench_v6", "score": 87.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=87.7.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "livecodebench_v6", "score": 87.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=87.8.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "superchem", "score": 58.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=58.0.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "superchem", "score": 32.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=32.4.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "superchem", "score": 43.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=43.2.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "superchem", "score": 63.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=63.2.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "superchem", "score": 51.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=51.6.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "babe", "score": 58.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao 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"https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=50.0.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "phybench", "score": 74.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": 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"https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=77.4.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "korbench", "score": 73.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": 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"https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=92.5.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "procbench", "score": 90.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": 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"https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=57.3.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "multichallenge", "score": 68.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=68.3.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "collie", "score": 96.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=96.9.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "collie", "score": 77.3, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=77.3.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "collie", "score": 79.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=79.8.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "collie", "score": 95.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=95.0.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "collie", "score": 93.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=93.9.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "mars_bench", "score": 87.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=87.9.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "mars_bench", "score": 72.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=72.9.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "mars_bench", "score": 87.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=87.7.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "mars_bench", "score": 85.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=85.6.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "mars_bench", "score": 85.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": 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"rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=69.3.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "inverse_ifeval", "score": 72.4, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=72.4.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "inverse_ifeval", "score": 79.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=79.6.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "inverse_ifeval", "score": 78.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=78.9.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "longfact_objects", "score": 99.2, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=99.2.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "longfact_objects", "score": 98.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=98.8.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "longfact_objects", "score": 99.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=99.0.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "longfact_objects", "score": 98.1, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=98.1.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "longfact_objects", "score": 92.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=92.9.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "longfact_concepts", "score": 99.7, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=99.7.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "longfact_concepts", "score": 98.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=98.5.", "candidates": [] }, { "model_id": "claude-opus-4.5", "benchmark_id": "longfact_concepts", "score": 98.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: claude-opus-4.5=98.8.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "longfact_concepts", "score": 98.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gemini-3-pro=98.5.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "longfact_concepts", "score": 92.8, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=92.8.", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "factscore", "score": 91.9, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card Table 3: gpt-5.2=91.9.", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "factscore", "score": 90.6, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": 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Seed 2.0 model card: gemini-3-pro=63.6.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "odvbench", "score": 72.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=72.5.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "vispeak", "score": 89.0, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: gemini-3-pro=89.0.", "candidates": [] }, { "model_id": "doubao-seed-2.0-pro", "benchmark_id": "vispeak", "score": 78.5, "reference_url": "https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "Doubao Seed 2.0 model card: doubao-seed-2.0-pro=78.5.", "candidates": [] }, { "model_id": "mistral-small-3.1", "benchmark_id": "math", "score": 69.3, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "HF MC Table 1: MATH = 69.30% (4-shot CoT, official Mistral eval)." }, { "model_id": "mistral-small-3.1", "benchmark_id": "mmmu", "score": 64.0, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "HF MC Table 2: MMMU = 64.00%." }, { "model_id": "mistral-small-3.1", "benchmark_id": "mmmu_pro", "score": 49.25, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "HF MC Table 2: MMMU PRO = 49.25%." }, { "model_id": "mistral-small-3.1", "benchmark_id": "mathvista", "score": 68.91, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "HF MC Table 2: Mathvista = 68.91%." }, { "model_id": "mistral-small-3.1", "benchmark_id": "longbench_v2", "score": 37.18, "reference_url": "https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503", "reported_setting": { "prompt_style": "default", "judge": "rule-based", "harness": "mistral-eval", "sampling": "pass@1", "temperature": "0.0" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "HF MC Table 4: LongBench v2 = 37.18%." }, { "model_id": "gpt-4o-mini", "benchmark_id": "math_500", "score": 73.0, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): math_500=73.0", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "humaneval", "score": 86.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): humaneval=86.2", "candidates": [] }, { "model_id": "phi-4", "benchmark_id": "mgsm", "score": 80.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): mgsm=80.6", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "mgsm", "score": 86.5, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): mgsm=86.5", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "mgsm", "score": 87.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): mgsm=87.3", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "mgsm", "score": 90.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): mgsm=90.4", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "simpleqa", "score": 9.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): simpleqa=9.9", "candidates": [] }, { "model_id": "phi-4", "benchmark_id": "drop", "score": 75.5, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): drop=75.5", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "drop", "score": 79.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): drop=79.3", "candidates": [ { "score": 36.3, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 36.3 (mc=false)." } ] }, { "model_id": "gpt-4o-mini", "benchmark_id": "mmlu_pro", "score": 63.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): mmlu_pro=63.4", "candidates": [] }, { "model_id": "phi-4", "benchmark_id": "humaneval_plus", "score": 82.8, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): humaneval_plus=82.8", "candidates": [ { "score": 83.5, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "notes": "Phi-4-reasoning paper Table 2 (phi-4 column): humaneval_plus=83.5 (alt measurement, mc=true)" } ] }, { "model_id": "gpt-4o-mini", "benchmark_id": "humaneval_plus", "score": 82.0, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): humaneval_plus=82.0", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "humaneval_plus", "score": 78.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): humaneval_plus=78.4", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "humaneval_plus", "score": 88.0, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): humaneval_plus=88.0", "candidates": [ { "score": 84.9, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (gpt-4o-0513 column): humaneval_plus=84.9 (alt measurement, mc=false)" } ] }, { "model_id": "gpt-4o-mini", "benchmark_id": "arena_hard", "score": 76.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): arena_hard=76.2", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "arena_hard", "score": 78.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): arena_hard=78.4", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "arena_hard", "score": 75.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): arena_hard=75.6", "candidates": [ { "score": 69.0, "reference_url": "https://arxiv.org/abs/2504.21318", "source_type": "tech_report", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "notes": "Phi-4-reasoning paper Table 2 (gpt-4o-0513 column): arena_hard=69.0 (alt measurement, mc=false)" } ] }, { "model_id": "phi-4", "benchmark_id": "livebench", "score": 47.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (phi-4 column): livebench=47.6", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "livebench", "score": 48.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-mini column): livebench=48.1", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "livebench", "score": 55.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (qwen2.5-72b-instruct column): livebench=55.3", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "livebench", "score": 57.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 (gpt-4o-0513 column): livebench=57.6", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "aime_2025", "score": 71.4, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o1-high column): aime_2025=71.4", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "hmmt_feb_2025", "score": 48.3, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o1-high column): hmmt_2025=48.3", "candidates": [] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "hmmt_feb_2025", "score": 31.7, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): hmmt_2025=31.7", "candidates": [] }, { "model_id": "phi-4-reasoning", "benchmark_id": "omnimath", "score": 76.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning column): omnimath=76.6", "candidates": [] }, { "model_id": "phi-4-reasoning-plus", "benchmark_id": "omnimath", "score": 81.9, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "0.8" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (phi-4-reasoning-plus column): omnimath=81.9", "candidates": [] }, { "model_id": "deepseek-r1-distill-llama-70b", "benchmark_id": "omnimath", "score": 63.4, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1-distill-llama-70b column): omnimath=63.4", "candidates": [] }, { "model_id": "deepseek-r1", "benchmark_id": "omnimath", "score": 85.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (deepseek-r1 column): omnimath=85.0", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "omnimath", "score": 67.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o1-high column): omnimath=67.5", "candidates": [] }, { "model_id": "o3-mini-high", "benchmark_id": "omnimath", "score": 74.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o3-mini-high column): omnimath=74.6", "candidates": [] }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "omnimath", "score": 54.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (claude-3.7-sonnet column): omnimath=54.6", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "livecodebench", "score": 63.4, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o1-high column): livecodebench=63.4", "candidates": [] }, { "model_id": "o1-high", "benchmark_id": "codeforces_rating", "score": 1891, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 (o1-high column): codeforces_rating=1891", "candidates": [] }, { "model_id": "phi-4", "benchmark_id": "flenqa_3k", "score": 82.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "simple-evals", "prompt_style": "default", "temperature": "0.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 2 (phi-4 column): flenqa_3k=82.0", "candidates": [] }, { "model_id": "phi-4-reasoning", "benchmark_id": "flenqa_3k", "score": 97.7, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": 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Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "mmlu", "score": 79.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mmlu=79.9. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "mmlu", "score": 86.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mmlu=86.3. Third-party Microsoft self-test, mc=false.", "candidates": [ { "score": 85.9, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 85.9 (mc=false)." }, { "score": 86.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 86.0 (mc=false)." }, { "score": 86.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 86.0 (mc=false)." } ] }, { "model_id": "phi-3-14b", "benchmark_id": "gpqa_diamond", "score": 31.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): gpqa_diamond=31.2. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "gpqa_diamond", "score": 42.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): gpqa_diamond=42.9. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "gpqa_diamond", "score": 49.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): gpqa_diamond=49.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "math_500", "score": 44.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): math_500=44.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "math_500", "score": 75.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): math_500=75.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "math_500", "score": 66.31, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): math_500=66.31. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "humaneval", "score": 67.8, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): humaneval=67.8. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "humaneval", "score": 72.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): humaneval=72.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "humaneval", "score": 78.91, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): humaneval=78.91. Third-party Microsoft self-test, mc=false.", "candidates": [ { "score": 75.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 75.5 (mc=false)." } ] }, { "model_id": "phi-3-14b", "benchmark_id": "mgsm", "score": 53.5, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): mgsm=53.5. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "mgsm", "score": 79.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mgsm=79.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "mgsm", "score": 89.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mgsm=89.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "simpleqa", "score": 7.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): simpleqa=7.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "simpleqa", "score": 5.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): simpleqa=5.4. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "simpleqa", "score": 20.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): simpleqa=20.9. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "drop", "score": 68.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): drop=68.3. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "drop", "score": 85.5, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): drop=85.5. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "drop", "score": 90.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): drop=90.2. Third-party Microsoft self-test, mc=false.", "candidates": [ { "score": 78.0, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 78.0 (mc=false)." } ] }, { "model_id": "phi-3-14b", "benchmark_id": "mmlu_pro", "score": 51.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): mmlu_pro=51.3. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "mmlu_pro", "score": 63.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mmlu_pro=63.2. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "mmlu_pro", "score": 64.4, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mmlu_pro=64.4. Third-party Microsoft self-test, mc=false.", "candidates": [ { "score": 66.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 66.0 (mc=false)." } ] }, { "model_id": "phi-3-14b", "benchmark_id": "humaneval_plus", "score": 69.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): humaneval_plus=69.2. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "humaneval_plus", "score": 79.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): humaneval_plus=79.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "humaneval_plus", "score": 77.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): humaneval_plus=77.9. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "arena_hard", "score": 45.8, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): arena_hard=45.8. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "arena_hard", "score": 70.2, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): arena_hard=70.2. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "arena_hard", "score": 65.5, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): arena_hard=65.5. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "livebench", "score": 28.1, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): livebench=28.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "livebench", "score": 46.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): livebench=46.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "livebench", "score": 57.6, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): livebench=57.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "phi-3-14b", "benchmark_id": "ifeval", "score": 57.9, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (phi-3-14b column): ifeval=57.9. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "ifeval", "score": 78.7, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): ifeval=78.7. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "ifeval", "score": 89.3, "reference_url": "https://arxiv.org/abs/2412.08905", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): ifeval=89.3. Third-party Microsoft self-test, mc=false.", "candidates": [ { "score": 90.8, "reference_url": "https://arxiv.org/abs/2501.00656", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "notes": "OLMo 2 paper Table 7 Instruct: alt measurement 90.8 (mc=false)." }, { "score": 92.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 92.1 (mc=false)." }, { "score": 92.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 92.1 (mc=false)." } ] }, { "model_id": "openthinker2-32b", "benchmark_id": "aime_2024", "score": 58.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (openthinker2-32b column): aime_2024=58.0. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "exaone-deep-32b", "benchmark_id": "aime_2024", "score": 72.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (exaone-deep-32b column): aime_2024=72.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "aime_2024", "score": 63.6, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): aime_2024=63.6. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "openthinker2-32b", "benchmark_id": "aime_2025", "score": 58.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (openthinker2-32b column): aime_2025=58.0. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "exaone-deep-32b", "benchmark_id": "aime_2025", "score": 65.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (exaone-deep-32b column): aime_2025=65.8. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "aime_2025", "score": 54.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): aime_2025=54.8. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "hmmt_feb_2025", "score": 38.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): hmmt_2025=38.0. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "omnimath", "score": 60.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): omnimath=60.5. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "openthinker2-32b", "benchmark_id": "gpqa_diamond", "score": 64.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (openthinker2-32b column): gpqa_diamond=64.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "exaone-deep-32b", "benchmark_id": "gpqa_diamond", "score": 66.1, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (exaone-deep-32b column): gpqa_diamond=66.1. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "gpqa_diamond", "score": 60.0, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): gpqa_diamond=60.0. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "exaone-deep-32b", "benchmark_id": "livecodebench", "score": 59.5, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (exaone-deep-32b column): livecodebench=59.5. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "livecodebench", "score": 53.8, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): livecodebench=53.8. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "codeforces_rating", "score": 1650, "reference_url": "https://arxiv.org/abs/2504.21318", "reported_setting": { "mode": "unknown", "effort": "unknown", "tools": "unknown", "sampling": "unknown", "judge": "rule-based", "harness": "Microsoft Phi internal eval", "prompt_style": "unknown", "temperature": "unknown" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Phi-4-reasoning paper Table 1 baseline (o1-mini column): codeforces_rating=1650. Third-party Microsoft self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "alpacaeval_2", "score": 38.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): alpacaeval_2=38.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "bigbench_hard", "score": 66.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): bigbench_hard=66.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "drop", "score": 70.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): drop=70.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "gsm8k", "score": 74.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): gsm8k=74.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "ifeval", "score": 66.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): ifeval=66.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "math", "score": 41.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): math=41.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "mmlu", "score": 70.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): mmlu=70.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "safety", "score": 69.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): safety=69.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "popqa", "score": 45.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): popqa=45.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "truthfulqa", "score": 62.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): truthfulqa=62.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "alpacaeval_2", "score": 49.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): alpacaeval_2=49.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "bigbench_hard", "score": 65.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): bigbench_hard=65.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "gsm8k", "score": 83.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): gsm8k=83.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "math", "score": 67.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): math=67.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "safety", "score": 84.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): safety=84.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "popqa", "score": 39.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): popqa=39.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gpt-4o-mini", "benchmark_id": "truthfulqa", "score": 64.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): truthfulqa=64.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "alpacaeval_2", "score": 20.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): alpacaeval_2=20.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "bigbench_hard", "score": 39.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): bigbench_hard=39.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "drop", "score": 25.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): drop=25.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "gsm8k", "score": 35.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): gsm8k=35.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "ifeval", "score": 60.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): ifeval=60.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "mmlu", "score": 38.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): mmlu=38.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "safety", "score": 70.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): safety=70.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "popqa", "score": 9.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): popqa=9.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-1b", "benchmark_id": "truthfulqa", "score": 43.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-1b column): truthfulqa=43.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "alpacaeval_2", "score": 10.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): alpacaeval_2=10.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "bigbench_hard", "score": 40.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): bigbench_hard=40.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "drop", "score": 32.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): drop=32.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "gsm8k", "score": 45.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): gsm8k=45.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "ifeval", "score": 54.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): ifeval=54.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "math", "score": 21.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): math=21.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "mmlu", "score": 46.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): mmlu=46.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "safety", "score": 87.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): safety=87.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "popqa", "score": 13.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): popqa=13.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.2-1b", "benchmark_id": "truthfulqa", "score": 41.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.2-1b column): truthfulqa=41.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "alpacaeval_2", "score": 7.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): alpacaeval_2=7.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "bigbench_hard", "score": 45.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): bigbench_hard=45.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "drop", "score": 13.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): drop=13.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "gsm8k", "score": 66.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): gsm8k=66.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "ifeval", "score": 44.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): ifeval=44.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "math", "score": 40.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): math=40.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "mmlu", "score": 59.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): mmlu=59.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "safety", "score": 77.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): safety=77.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "popqa", "score": 15.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): popqa=15.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-1.5b", "benchmark_id": "truthfulqa", "score": 46.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-1.5b column): truthfulqa=46.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "alpacaeval_2", "score": 31.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): alpacaeval_2=31.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "bigbench_hard", "score": 70.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): bigbench_hard=70.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "drop", "score": 56.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): drop=56.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "gsm8k", "score": 80.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): gsm8k=80.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "ifeval", "score": 56.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): ifeval=56.4. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 59.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 59.0 (mc=false)." }, { "score": 59.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 59.0 (mc=false)." } ] }, { "model_id": "ministral-8b", "benchmark_id": "math", "score": 40.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): math=40.0. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 54.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 54.5 (mc=false)." } ] }, { "model_id": "ministral-8b", "benchmark_id": "mmlu", "score": 68.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): mmlu=68.5. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 71.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 71.1 (mc=false)." }, { "score": 71.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 71.1 (mc=false)." } ] }, { "model_id": "ministral-8b", "benchmark_id": "safety", "score": 56.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): safety=56.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "popqa", "score": 20.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): popqa=20.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "truthfulqa", "score": 55.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (ministral-8b column): truthfulqa=55.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "alpacaeval_2", "score": 25.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): alpacaeval_2=25.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "bigbench_hard", "score": 71.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): bigbench_hard=71.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "drop", "score": 61.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): drop=61.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "gsm8k", "score": 83.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): gsm8k=83.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "ifeval", "score": 80.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): ifeval=80.6. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 78.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 78.6 (mc=false)." }, { "score": 78.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 78.6 (mc=false)." } ] }, { "model_id": "llama-3.1-8b", "benchmark_id": "math", "score": 42.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): math=42.5. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 51.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 51.9 (mc=false)." } ] }, { "model_id": "llama-3.1-8b", "benchmark_id": "mmlu", "score": 71.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): mmlu=71.3. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 71.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 71.1 (mc=false)." }, { "score": 71.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 71.1 (mc=false)." } ] }, { "model_id": "llama-3.1-8b", "benchmark_id": "safety", "score": 70.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): safety=70.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "popqa", "score": 28.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): popqa=28.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "truthfulqa", "score": 55.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-8b column): truthfulqa=55.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "alpacaeval_2", "score": 34.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): alpacaeval_2=34.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "bigbench_hard", "score": 69.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): bigbench_hard=69.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "drop", "score": 62.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): drop=62.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "gsm8k", "score": 87.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): gsm8k=87.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "ifeval", "score": 82.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): ifeval=82.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "math", "score": 43.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): math=43.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "mmlu", "score": 68.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): mmlu=68.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "safety", "score": 75.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): safety=75.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "popqa", "score": 29.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): popqa=29.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "tulu-3-8b", "benchmark_id": "truthfulqa", "score": 55.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (tulu-3-8b column): truthfulqa=55.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "alpacaeval_2", "score": 29.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): alpacaeval_2=29.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "bigbench_hard", "score": 70.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): bigbench_hard=70.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "drop", "score": 54.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): drop=54.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "gsm8k", "score": 83.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): gsm8k=83.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "ifeval", "score": 74.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): ifeval=74.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "math", "score": 69.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): math=69.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "mmlu", "score": 76.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): mmlu=76.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "safety", "score": 75.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): safety=75.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "popqa", "score": 18.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): popqa=18.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-7b", "benchmark_id": "truthfulqa", "score": 63.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-7b column): truthfulqa=63.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "alpacaeval_2", "score": 43.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): alpacaeval_2=43.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "bigbench_hard", "score": 64.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): bigbench_hard=64.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "drop", "score": 58.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): drop=58.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "gsm8k", "score": 79.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): gsm8k=79.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "ifeval", "score": 69.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): ifeval=69.9. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 74.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 74.4 (mc=false)." } ] }, { "model_id": "gemma-2-9b", "benchmark_id": "mmlu", "score": 69.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): mmlu=69.1. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 73.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 73.5 (mc=false)." } ] }, { "model_id": "gemma-2-9b", "benchmark_id": "safety", "score": 75.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): safety=75.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "popqa", "score": 28.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): popqa=28.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-9b", "benchmark_id": "truthfulqa", "score": 61.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-9b column): truthfulqa=61.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "alpacaeval_2", "score": 34.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): alpacaeval_2=34.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "bigbench_hard", "score": 78.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): bigbench_hard=78.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "drop", "score": 50.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): drop=50.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "gsm8k", "score": 83.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): gsm8k=83.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "ifeval", "score": 82.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): ifeval=82.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "math", "score": 70.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): math=70.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "mmlu", "score": 81.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): mmlu=81.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "safety", "score": 79.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): safety=79.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "popqa", "score": 21.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): popqa=21.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-14b", "benchmark_id": "truthfulqa", "score": 70.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-14b column): truthfulqa=70.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "alpacaeval_2", "score": 49.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): alpacaeval_2=49.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "bigbench_hard", "score": 72.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): bigbench_hard=72.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "drop", "score": 67.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): drop=67.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "gsm8k", "score": 80.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): gsm8k=80.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "ifeval", "score": 63.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): ifeval=63.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "mmlu", "score": 70.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): mmlu=70.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "safety", "score": 75.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): safety=75.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "popqa", "score": 33.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): popqa=33.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-2-27b", "benchmark_id": "truthfulqa", "score": 64.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-2-27b column): truthfulqa=64.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "alpacaeval_2", "score": 39.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): alpacaeval_2=39.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "bigbench_hard", "score": 82.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): bigbench_hard=82.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "drop", "score": 48.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): drop=48.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "gsm8k", "score": 87.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): gsm8k=87.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "ifeval", "score": 82.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): ifeval=82.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "math", "score": 77.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): math=77.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "mmlu", "score": 84.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): mmlu=84.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "safety", "score": 82.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): safety=82.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "popqa", "score": 26.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): popqa=26.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen-2.5-32b", "benchmark_id": "truthfulqa", "score": 70.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen-2.5-32b column): truthfulqa=70.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "alpacaeval_2", "score": 43.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): alpacaeval_2=43.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "bigbench_hard", "score": 80.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): bigbench_hard=80.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "drop", "score": 78.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): drop=78.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "gsm8k", "score": 87.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): gsm8k=87.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "ifeval", "score": 77.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): ifeval=77.3. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "math", "score": 65.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): math=65.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "mmlu", "score": 83.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): mmlu=83.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "safety", "score": 66.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): safety=66.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "popqa", "score": 24.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): popqa=24.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "mistral-small-24b", "benchmark_id": "truthfulqa", "score": 68.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (mistral-small-24b column): truthfulqa=68.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "alpacaeval_2", "score": 82.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): alpacaeval_2=82.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "bigbench_hard", "score": 89.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): bigbench_hard=89.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "drop", "score": 54.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): drop=54.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "gsm8k", "score": 95.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): gsm8k=95.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "math", "score": 98.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): math=98.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwq-32b", "benchmark_id": "safety", "score": 69.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwq-32b column): safety=69.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "alpacaeval_2", "score": 63.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): alpacaeval_2=63.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "bigbench_hard", "score": 83.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): bigbench_hard=83.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "drop", "score": 69.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): drop=69.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "safety", "score": 69.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): safety=69.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "popqa", "score": 30.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): popqa=30.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "gemma-3-27b", "benchmark_id": "truthfulqa", "score": 63.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (gemma-3-27b column): truthfulqa=63.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "alpacaeval_2", "score": 47.7, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): alpacaeval_2=47.7. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "bigbench_hard", "score": 80.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): bigbench_hard=80.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "gsm8k", "score": 89.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): gsm8k=89.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "math", "score": 75.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): math=75.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "safety", "score": 87.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): safety=87.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "popqa", "score": 30.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): popqa=30.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "truthfulqa", "score": 69.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): truthfulqa=69.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "alpacaeval_2", "score": 32.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): alpacaeval_2=32.9. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "bigbench_hard", "score": 83.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): bigbench_hard=83.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "drop", "score": 77.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): drop=77.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "gsm8k", "score": 94.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): gsm8k=94.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "ifeval", "score": 88.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): ifeval=88.0. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "math", "score": 56.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): math=56.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "mmlu", "score": 85.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): mmlu=85.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "safety", "score": 76.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): safety=76.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "popqa", "score": 46.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): popqa=46.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-70b", "benchmark_id": "truthfulqa", "score": 66.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.1-70b column): truthfulqa=66.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "alpacaeval_2", "score": 36.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): alpacaeval_2=36.5. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "bigbench_hard", "score": 85.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): bigbench_hard=85.8. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "gsm8k", "score": 93.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): gsm8k=93.6. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "math", "score": 71.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): math=71.8. Third-party Allen AI self-test, mc=false.", "candidates": [ { "score": 77.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 77.0 (mc=false)." } ] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "safety", "score": 70.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): safety=70.4. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "popqa", "score": 48.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): popqa=48.2. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "truthfulqa", "score": 66.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): truthfulqa=66.1. Third-party Allen AI self-test, mc=false.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "alpacaeval_2", "score": 2.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): alpacaeval_2=2.4.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "bigbench_hard", "score": 29.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): bigbench_hard=29.9.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "drop", "score": 27.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): drop=27.9.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "gsm8k", "score": 10.8, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): gsm8k=10.8.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "ifeval", "score": 25.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): ifeval=25.3.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "math", "score": 2.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): math=2.2.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "mmlu", "score": 36.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-1b column): mmlu=36.6.", "candidates": [] }, { "model_id": "olmo-1b", "benchmark_id": "safety", "score": 52.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 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"notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): bigbench_hard=39.8.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "drop", "score": 30.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): drop=30.9.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "gsm8k", "score": 45.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): gsm8k=45.3.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "ifeval", "score": 51.6, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): ifeval=51.6.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "math", "score": 20.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": 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"source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): safety=52.4.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "popqa", "score": 16.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): popqa=16.4.", "candidates": [] }, { "model_id": "smollm2-1.7b", "benchmark_id": "truthfulqa", "score": 45.3, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (smollm2-1.7b column): truthfulqa=45.3.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "alpacaeval_2", "score": 8.5, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): alpacaeval_2=8.5.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "bigbench_hard", "score": 34.4, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": 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"prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): gsm8k=23.2.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "ifeval", "score": 39.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): ifeval=39.2.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "math", "score": 5.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": 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"harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): safety=49.3.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "popqa", "score": 18.9, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): popqa=18.9.", "candidates": [] }, { "model_id": "olmo-7b-0424", "benchmark_id": "truthfulqa", "score": 55.2, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-7b-0424 column): truthfulqa=55.2.", "candidates": [] }, { "model_id": "olmo-2-1b", "benchmark_id": "alpacaeval_2", "score": 9.1, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "OLMo 2 paper Table 7 Instruct (olmo-2-1b column): alpacaeval_2=9.1.", "candidates": [] }, { "model_id": "olmo-2-1b", "benchmark_id": "bigbench_hard", "score": 35.0, "reference_url": "https://arxiv.org/abs/2501.00656", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": 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Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "command-a", "benchmark_id": "ruler_32k", "score": 95.6, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 95.6. 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Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "deepseek-3.1", "benchmark_id": "multipl_e_avg", "score": 84.9, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 84.9. 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Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "deepseek-3.1", "benchmark_id": "gpqa_diamond", "score": 61.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 61.1. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "deepseek-3.1", "benchmark_id": "mmlu_pro", "score": 81.1, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "5-shot CoT", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 81.1. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "deepseek-3.1", "benchmark_id": "ruler_32k", "score": 95.8, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 95.8. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "deepseek-3.1", "benchmark_id": "ruler_128k", "score": 91.9, "reference_url": "https://mistral.ai/news/mistral-medium-3", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "mistral-eval", "prompt_style": "0-shot", "temperature": "0.0" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "notes": "Mistral Medium 3 blog table: 91.9. Third-party self-test by Mistral (their internal eval pipeline)." }, { "model_id": "command-r7b", "benchmark_id": "mmlu", "score": 65.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): mmlu=65.2. 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Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "math", "score": 68.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (deepseek-v3 column): math=68.5. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "math", "score": 59.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): math=59.1. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "ifeval", "score": 77.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): ifeval=77.9. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-a", "benchmark_id": "gpqa_main", "score": 50.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-a column): gpqa=50.8.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "gpqa_main", "score": 59.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (gpt-4o-0513 column): gpqa=59.1. Third-party Cohere reproduction, mc=false.", "candidates": [ { "score": 53.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 53.6 (mc=false)." } ] }, { "model_id": "deepseek-v3", "benchmark_id": "gpqa_main", "score": 53.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (deepseek-v3 column): gpqa=53.6. Third-party Cohere reproduction, mc=false.", "candidates": [ { "score": 59.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "source_type": "tech_report", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "notes": "Command A paper: alt measurement 59.1 (mc=false)." } ] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "gpqa_main", "score": 50.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.3-70b-instruct column): gpqa=50.5. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "gpqa_main", "score": 26.3, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): gpqa=26.3. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-8b", "benchmark_id": "gpqa_main", "score": 23.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.1-8b column): gpqa=23.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "ministral-8b", "benchmark_id": "gpqa_main", "score": 23.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (ministral-8b column): gpqa=23.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-a", "benchmark_id": "mbpp_plus", "score": 86.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-a column): mbpp_plus=86.2.", "candidates": [] }, { "model_id": "gpt-4o-0513", "benchmark_id": "mbpp_plus", "score": 89.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (gpt-4o-0513 column): mbpp_plus=89.9. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "mbpp_plus", "score": 86.5, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (deepseek-v3 column): mbpp_plus=86.5. 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Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "bigcodebench", "score": 45.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (qwen2.5-72b-instruct column): bigcodebench=45.8. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "bigcodebench", "score": 46.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.1-405b-instruct column): bigcodebench=46.2. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "humaneval", "score": 50.7, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): humaneval=50.7. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "mistral-large-2", "benchmark_id": "humaneval", "score": 82.9, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (mistral-large-2 column): humaneval=82.9. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "mistral-large-2", "benchmark_id": "repoqa", "score": 88.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (mistral-large-2 column): repoqa=88.0. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "repoqa", "score": 83.2, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (qwen2.5-72b-instruct column): repoqa=83.2. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "repoqa", "score": 90.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.1-405b-instruct column): repoqa=90.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "swe_bench_verified", "score": 3.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): swe_bench_verified=3.6. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "swe_bench_verified", "score": 29.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.3-70b-instruct column): swe_bench_verified=29.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "mistral-large-2", "benchmark_id": "swe_bench_verified", "score": 30.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (mistral-large-2 column): swe_bench_verified=30.0. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "command-a", "benchmark_id": "aider_polyglot", "score": 14.7, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-a column): aider_polyglot=14.7.", "candidates": [] }, { "model_id": "command-r7b", "benchmark_id": "aider_polyglot", "score": 2.7, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (command-r7b column): aider_polyglot=2.7. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.3-70b-instruct", "benchmark_id": "aider_polyglot", "score": 8.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.3-70b-instruct column): aider_polyglot=8.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "mistral-large-2", "benchmark_id": "aider_polyglot", "score": 16.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (mistral-large-2 column): aider_polyglot=16.0. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "aider_polyglot", "score": 8.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (qwen2.5-72b-instruct column): aider_polyglot=8.0. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "aider_polyglot", "score": 13.8, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.1-405b-instruct column): aider_polyglot=13.8. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "deepseek-v3", "benchmark_id": "aider_polyglot", "score": 49.6, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (deepseek-v3 column): aider_polyglot=49.6. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "mistral-large-2", "benchmark_id": "bird_sql", "score": 50.0, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (mistral-large-2 column): bird_sql=50.0. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "qwen2.5-72b-instruct", "benchmark_id": "bird_sql", "score": 50.1, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (qwen2.5-72b-instruct column): bird_sql=50.1. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "llama-3.1-405b-instruct", "benchmark_id": "bird_sql", "score": 59.4, "reference_url": "https://cohere.com/research/papers/command-a-technical-report.pdf", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "Cohere internal eval", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "Command A paper (llama-3.1-405b-instruct column): bird_sql=59.4. Third-party Cohere reproduction, mc=false.", "candidates": [] }, { "model_id": "internlm3-8b", "benchmark_id": "cmmlu", "score": 83.1, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "CMMLU 0-shot = 83.1. No * (non-thinking). GitHub README table." }, { "model_id": "internlm3-8b", "benchmark_id": "drop", "score": 83.1, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "DROP 0-shot = 83.1. No * (non-thinking). GitHub README table." }, { "model_id": "internlm3-8b", "benchmark_id": "hellaswag", "score": 91.2, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "HellaSwag 10-shot = 91.2. No * (non-thinking). GitHub README table." }, { "model_id": "internlm3-8b", "benchmark_id": "korbench", "score": 56.4, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "KOR-Bench 0-shot = 56.4. No * (non-thinking). GitHub README table. Benchmark labeled KOR-Bench in source, maps to korbench in BP." }, { "model_id": "internlm3-8b", "benchmark_id": "alpacaeval_2", "score": 51.1, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "AlpacaEval 2.0 LC WinRate = 51.1. No * (non-thinking). GitHub README table." }, { "model_id": "internlm3-8b", "benchmark_id": "wildbench", "score": 33.1, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "LLM-as-judge", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "WildBench Raw Score = 33.1. No * (non-thinking). GitHub README." }, { "model_id": "internlm3-8b", "benchmark_id": "mt_bench_101", "score": 8.59, "reference_url": "https://github.com/InternLM/InternLM", "source_type": "model_card", "audit_status": "verified", "matches_canonical": true, "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "LLM-as-judge", "harness": "OpenCompass", "prompt_style": "0-shot" }, "notes": "MT-Bench-101 Score 1-10 = 8.59. No * (non-thinking). GitHub README." }, { "model_id": "exaone-4.0-32b", "benchmark_id": "mmlu_redux", "score": 92.3, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: MMLU-Redux=92.3. World Knowledge benchmark.", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "livecodebench_v5", "score": 72.6, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@4", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: LiveCodeBench v5=72.6. (moved from generic livecodebench cell)", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "livecodebench_v6", "score": 66.7, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@4", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: LiveCodeBench v6=66.7. Also Table 7 (64K budget confirms 66.7).", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "multi_if", "score": 73.5, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: Multi-IF (EN)=73.5. Instruction following.", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "bfcl_v3", "score": 63.9, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: BFCL-v3=63.9. Agentic Tool Use.", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "tau_bench_airline", "score": 51.5, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@4", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: Tau-Bench (Airline)=51.5. Agentic Tool Use.", "candidates": [] }, { "model_id": "exaone-4.0-32b", "benchmark_id": "tau_bench_retail", "score": 62.8, "reference_url": "https://arxiv.org/html/2507.11407v1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "avg@4", "judge": "rule-based", "harness": "LG AI Research internal", "prompt_style": "default", "temperature": "0.6, top_p=0.95, presence_penalty=1.5" }, "matches_canonical": true, "source_type": "tech_report", "audit_status": "verified", "notes": "Reasoning mode Table 3: Tau-Bench (Retail)=62.8. Agentic Tool Use.", "candidates": [] }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "tau_bench_retail", "score": 71.5, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (tau-bench official)", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default + planning tool addendum (Airline)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic 3.7 Sonnet blog cross-model comparison table: Claude 3.5 Sonnet (new) TAU-bench Retail=71.5%" }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "tau_bench_airline", "score": 48.8, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "agentic (tau-bench official)", "sampling": "pass@1", "judge": "official harness", "harness": "official", "prompt_style": "default + planning tool addendum (Airline)", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic 3.7 Sonnet blog cross-model comparison table: Claude 3.5 Sonnet (new) TAU-bench Airline=48.8%" }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "mmmlu", "score": 82.1, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic 3.7 Sonnet blog cross-model: Claude 3.5 Sonnet (new) MMMLU=82.1%" }, { "model_id": "claude-3.5-sonnet", "benchmark_id": "mmmu", "score": 70.4, "reference_url": "https://www.anthropic.com/news/claude-3-7-sonnet", "reported_setting": { "mode": "non-thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "Anthropic 3.7 Sonnet blog cross-model: Claude 3.5 Sonnet (new) MMMU=70.4%" }, { "model_id": "kimi-k2.5", "benchmark_id": "hle_tools", "score": 50.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "thinking mode, tool-augmented, pass@1", "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "First-party, directly from Kimi K2.5 HF model card evaluation table." }, { "model_id": "gpt-5.2", "benchmark_id": "hle_tools", "score": 45.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "with tools, pass@1", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Reported in Kimi K2.5 HF model card (no asterisk = Moonshot used publicly available official score). Reference is Kimi card, not GPT primary source." }, { "model_id": "claude-opus-4.5", "benchmark_id": "hle_tools", "score": 43.2, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "with tools, pass@1", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Reported in Kimi K2.5 HF model card (no asterisk = publicly available official score). Reference is Kimi card." }, { "model_id": "gemini-3-pro", "benchmark_id": "hle_tools", "score": 45.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "with tools, pass@1", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "Reported in Kimi K2.5 HF model card (no asterisk = publicly available official score). Reference is Kimi card." }, { "model_id": "deepseek-v3.2", "benchmark_id": "hle_tools", "score": 40.8, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "text-only subset, with tools, pass@1", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "\u2020: DeepSeek V3.2 HLE (w/tools) score corresponds to text-only subset (vision not supported). Reported in Kimi K2.5 HF model card." }, { "model_id": "kimi-k2.5", "benchmark_id": "zerobench_tools", "score": 11.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "thinking mode, tool-augmented, pass@1", "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "First-party, directly from Kimi K2.5 HF model card." }, { "model_id": "gpt-5.2", "benchmark_id": "zerobench_tools", "score": 7.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "tool-augmented, pass@1; re-evaluated by Moonshot", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "*: Score re-evaluated by Moonshot AI under Kimi K2.5 evaluation conditions (no publicly available score)." }, { "model_id": "claude-opus-4.5", "benchmark_id": "zerobench_tools", "score": 9.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "tool-augmented, pass@1; re-evaluated by Moonshot", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "*: Score re-evaluated by Moonshot AI under Kimi K2.5 evaluation conditions." }, { "model_id": "gemini-3-pro", "benchmark_id": "zerobench_tools", "score": 12.0, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "tool-augmented, pass@1; re-evaluated by Moonshot", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "*: Score re-evaluated by Moonshot AI under Kimi K2.5 evaluation conditions." }, { "model_id": "deepseek-v3.2", "benchmark_id": "widesearch", "score": 32.5, "reference_url": "https://huggingface.co/moonshotai/Kimi-K2.5", "reported_setting": "agentic search, pass@1; re-evaluated by Moonshot", "matches_canonical": false, "source_type": "model_card", "audit_status": "verified", "notes": "*: Score re-evaluated by Moonshot AI under Kimi K2.5 evaluation conditions (WideSearch benchmark). DeepSeek's own report does not include this benchmark." }, { "model_id": "gpt-5", "benchmark_id": "toolathlon", "score": 29.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: GPT-5-High=29.0. Third-party self-test by DeepSeek.", "candidates": [] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "toolathlon", "score": 17.6, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: Kimi-K2-Thinking=17.6. Third-party self-test by DeepSeek.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "toolathlon", "score": 16.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: MiniMax-M2=16.0. Third-party self-test by DeepSeek.", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "tau2_bench_avg", "score": 85.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: Gemini-3.0-Pro=85.4. DS uses the test model itself as user agent (non-standard harness), not the official simulated-user harness. Third-party self-test.", "candidates": [ { "score": 90.7, "reference_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: \u03c42-bench avg 90.7% for Gemini 3 Pro Thinking. Differs from primary 85.4 from DeepSeek V3.2 tech report (matches_canonical=false \u2014 Flash page does not specify effort=high)." } ] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "tau2_bench_avg", "score": 74.3, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: Kimi-K2-Thinking=74.3. DS uses the test model itself as user agent (non-standard harness). Third-party self-test.", "candidates": [] }, { "model_id": "gpt-5", "benchmark_id": "mcpmark", "score": 50.9, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: GPT-5-High=50.9. DS uses internal MCP environment (not official setting). Third-party self-test.", "candidates": [] }, { "model_id": "kimi-k2-thinking", "benchmark_id": "mcpmark", "score": 20.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: Kimi-K2-Thinking=20.4. DS uses internal MCP environment. Third-party self-test.", "candidates": [] }, { "model_id": "minimax-m2", "benchmark_id": "mcpmark", "score": 24.4, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: MiniMax-M2=24.4. DS uses internal MCP environment. Third-party self-test.", "candidates": [] }, { "model_id": "deepseek-v3.2", "benchmark_id": "mcpmark", "score": 38.0, "reference_url": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "internal", "prompt_style": "default", "temperature": "1.0", "context": "128K" }, "matches_canonical": false, "source_type": "tech_report", "audit_status": "verified", "notes": "DS V3.2 tech report Table 2: DeepSeek-V3.2-Thinking=38.0. DS uses internal MCP environment (not official MCP-Mark setting).", "candidates": [] }, { "model_id": "gemini-3-flash", "benchmark_id": "omnidocbench_1.5", "score": 0.121, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 overall edit distance 0.121 (lower=better)", "candidates": [] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "omnidocbench_1.5", "score": 0.154, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 overall edit distance 0.154", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "omnidocbench_1.5", "score": 0.145, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 overall edit distance 0.145", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "omnidocbench_1.5", "score": 0.145, "audit_status": "verified", "matches_canonical": false, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 0.145 (third-party self-test by Google DeepMind)", "candidates": [] }, { "model_id": "gemini-3-flash", "benchmark_id": "video_mmmu", "score": 86.9, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU (Knowledge acquisition from videos) 86.9%", "candidates": [] }, { "model_id": "gemini-3-pro", "benchmark_id": "video_mmmu", "score": 87.6, "audit_status": "verified", "matches_canonical": false, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU 87.6% (cross-model comparison; Flash page column label \"Gemini 3 Pro Thinking\" does not specify \"High\" effort \u2014 matches_canonical=false)", "candidates": [] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "video_mmmu", "score": 79.2, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU 79.2%", "candidates": [] }, { "model_id": "gemini-2.5-pro", "benchmark_id": "video_mmmu", "score": 83.6, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU 83.6%", "candidates": [] }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "video_mmmu", "score": 77.8, "audit_status": "verified", "matches_canonical": false, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU 77.8% (third-party self-test by Google DeepMind)", "candidates": [] }, { "model_id": "gpt-5.2", "benchmark_id": "video_mmmu", "score": 85.9, "audit_status": "verified", "matches_canonical": false, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Video-MMMU 85.9% (third-party self-test by Google DeepMind)", "candidates": [] }, { "model_id": "gemini-3-flash", "benchmark_id": "tau2_bench_avg", "score": 90.2, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: \u03c42-bench avg (agentic tool use) 90.2%", "candidates": [] }, { "model_id": "gemini-2.5-flash", "benchmark_id": "tau2_bench_avg", "score": 79.5, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: \u03c42-bench avg 79.5%", "candidates": [] }, { "model_id": "grok-4.1", "benchmark_id": "vending_bench_2", "score": 1107, "audit_status": "verified", "matches_canonical": true, "source_url": "https://deepmind.google/models/gemini/flash/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "notes": "DeepMind /models/gemini/flash/ Performance table: Vending-Bench 2 net worth (mean) $1,107 (Grok 4.1 Fast Reasoning column)", "candidates": [] }, { "model_id": "gpt-4o", "benchmark_id": "arc_agi_1", "score": 4.5, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "matches_canonical": true, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: GPT-4o Base LLM on leaderboard" }, { "model_id": "gpt-4o", "benchmark_id": "arc_agi_2", "score": 0.0, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "matches_canonical": true, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: GPT-4o Base LLM on leaderboard" }, { "model_id": "gpt-4o-mini", "benchmark_id": "arc_agi_2", "score": 0.0, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "matches_canonical": true, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: GPT-4o-mini Base LLM on leaderboard (arc_agi_1 N/A)" }, { "model_id": "o1-mini", "benchmark_id": "arc_agi_1", "score": 14.0, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "matches_canonical": false, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: o1-mini on leaderboard" }, { "model_id": "o1-mini", "benchmark_id": "arc_agi_2", "score": 0.8, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "CoT" }, "matches_canonical": false, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: o1-mini on leaderboard" }, { "model_id": "gemini-1.5-pro", "benchmark_id": "arc_agi_2", "score": 0.8, "reference_url": "https://arcprize.org/leaderboard", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "official (arcprize.org)", "system_type": "Base LLM" }, "matches_canonical": true, "source_type": "leaderboard", "audit_status": "verified", "notes": "arcprize.org leaderboard audit R5b: Gemini 1.5 Pro on leaderboard (arc_agi_1 N/A)" }, { "model_id": "grok-4.20", "benchmark_id": "terminal_bench", "score": 57.3, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5b" ], "notes": "grok-cli third-party agent, score=57.3% \u00b1 N/A. Only available entry on tbench 2.0." }, { "model_id": "minimax-m2.1", "benchmark_id": "terminal_bench", "score": 29.2, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5b" ], "notes": "Confirmed 29.2% on tbench.ai Terminal-Bench 2.0 (Terminus 2 scaffold, 2025-12-23)." }, { "model_id": "minimax-m2.5", "benchmark_id": "terminal_bench", "score": 42.2, "reference_url": "https://www.tbench.ai/leaderboard/terminal-bench/2.0", "audit_status": "verified", "source_type": "leaderboard", "rule_ids": [ "R5b" ], "notes": "Confirmed 42.2% on tbench.ai Terminal-Bench 2.0 (Terminus 2 scaffold, 2026-02-23). minimax-m2.5 listed as \"Minimax m2.5\"." }, { "model_id": "minimax-m2", "benchmark_id": "hle_tools", "score": 31.8, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "search + python (text-only HLE subset)", "sampling": "pass@1", "judge": "rule-based", "harness": "WebExplorer agent framework", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "MiniMax M2 model card Table 1: HLE (w/ tools)=31.8. Uses search tools + Python tool (Jupyter), text-only HLE subset.", "candidates": [] }, { "model_id": "minimax-m2.7", "benchmark_id": "multi_swe_bench", "score": 52.7, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "MiniMax M2.7 model card: Multi-SWE-Bench=52.7.", "candidates": [] }, { "model_id": "minimax-m2.7", "benchmark_id": "swe_bench_multilingual", "score": 76.5, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (bash + edit)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "MiniMax M2.7 model card: SWE-bench Multilingual=76.5.", "candidates": [] }, { "model_id": "minimax-m2.7", "benchmark_id": "terminal_bench", "score": 57.0, "reference_url": "https://huggingface.co/MiniMaxAI/MiniMax-M2.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "MiniMax M2.7 model card: Terminal-Bench 2=57.0.", "candidates": [] }, { "model_id": "glm-4.7", "benchmark_id": "hle_tools", "score": 42.8, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "search+code+web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog (first-party): GLM-4.7=42.8. Also confirmed in z.ai/blog/glm-5 (third-party: 42.8)." }, { "model_id": "glm-4.6", "benchmark_id": "hle_tools", "score": 30.4, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "search+code+web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog (same provider Zhipu, third-party for GLM-4.6): GLM-4.6=30.4 in comparison table." }, { "model_id": "glm-5", "benchmark_id": "hle_tools", "score": 50.4, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "search+code+web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog (first-party): GLM-5=50.4. Also confirmed in z.ai/blog/glm-5.1 (50.4)." }, { "model_id": "glm-5.1", "benchmark_id": "hle_tools", "score": 52.3, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "search+code+web", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog (first-party): GLM-5.1=52.3. Footnote: starred values (53.1*, 51.4*, 52.1* for Opus 4.6/Gemini 3.1/GPT-5.4) are full-set; GLM-5.1 unstarred = text-only subset not stated explicitly but consistent." }, { "model_id": "glm-4.7", "benchmark_id": "tau2_bench_avg", "score": 87.4, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+API", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog (first-party): \u03c4\u00b2-Bench=87.4. Confirmed by z.ai/blog/glm-5 (third-party: 87.4)." }, { "model_id": "glm-5", "benchmark_id": "tau2_bench_avg", "score": 89.7, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "web+API", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog (first-party): \u03c4\u00b2-Bench=89.7. Confirmed by z.ai/blog/glm-5.1 (same value 89.7, via comparison)." }, { "model_id": "glm-4.6", "benchmark_id": "browsecomp_cm", "score": 57.5, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "context_management": "discard-all", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog (same provider Zhipu): GLM-4.6=57.5 in BrowseComp (w/ Context Manage) table." }, { "model_id": "glm-4.7", "benchmark_id": "browsecomp_cm", "score": 67.5, "reference_url": "https://z.ai/blog/glm-4.7", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "context_management": "discard-all", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-4.7 blog (first-party): GLM-4.7=67.5. Confirmed in z.ai/blog/glm-5 (third-party: 67.5)." }, { "model_id": "glm-5", "benchmark_id": "browsecomp_cm", "score": 75.9, "reference_url": "https://z.ai/blog/glm-5", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "context_management": "discard-all", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5 blog (first-party): GLM-5=75.9. Confirmed in z.ai/blog/glm-5.1 (75.9)." }, { "model_id": "glm-5.1", "benchmark_id": "browsecomp_cm", "score": 79.3, "reference_url": "https://z.ai/blog/glm-5.1", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "context_management": "discard-all", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "notes": "GLM-5.1 blog (first-party): GLM-5.1=79.3. NOTE: BP browsecomp primary=79.3 (DeepSeek V4 Pro card) may be mislabeled as plain BrowseComp; GLM-5.1 blog gives plain=68, CM=79.3." }, { "model_id": "claude-opus-4", "benchmark_id": "cybench", "score": 56.4, "reference_url": "https://www-cdn.anthropic.com/07b2a3f9902ee19fe39a36ca638e5ae987bc64dd.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (Kali environment with code editor + Terminal Tool; pwntools/metasploit/ghidra)", "sampling": "pass@30", "judge": "rule-based (CTF flag check)", "harness": "Anthropic internal (Kali-based VM)", "prompt_style": "default", "temperature": "default", "notes": "Claude 4 System Card \u00a77.4.7: claude-opus-4 scored 22/39 on Cybench (1 challenge skipped due to infra/timing; benchmark has 40 total). Thinking mode not explicitly specified but consistent with canonical." }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "From Claude 4 System Card (May 2025), \u00a77.4.7 Cybench: 22/39 = 56.4%." }, { "model_id": "claude-sonnet-4", "benchmark_id": "cybench", "score": 56.4, "reference_url": "https://www-cdn.anthropic.com/07b2a3f9902ee19fe39a36ca638e5ae987bc64dd.pdf", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (Kali environment with code editor + Terminal Tool; pwntools/metasploit/ghidra)", "sampling": "pass@30", "judge": "rule-based (CTF flag check)", "harness": "Anthropic internal (Kali-based VM)", "prompt_style": "default", "temperature": "default", "notes": "Claude 4 System Card \u00a77.4.7: claude-sonnet-4 scored 22/39 on Cybench (1 challenge skipped due to infra/timing; benchmark has 40 total). Thinking mode not explicitly specified but consistent with canonical." }, "matches_canonical": true, "source_type": "model_card", "audit_status": "verified", "notes": "From Claude 4 System Card (May 2025), \u00a77.4.7 Cybench: 22/39 = 56.4%." }, { "model_id": "gpt-5-mini", "benchmark_id": "aime_2025", "score": 91.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "AIME 2025 no tools, per GPT-5 dev blog table 0", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "frontiermath", "score": 22.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "python", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "FrontierMath with Python tool, per GPT-5 dev blog table 0", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "gpqa_diamond", "score": 82.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "GPQA Diamond no tools, per GPT-5 dev blog table 0", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "hle", "score": 16.7, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "HLE no tools, per GPT-5 dev blog table 0", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "hmmt_feb_2025", "score": 87.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "HMMT 2025 no tools, per GPT-5 dev blog table 0", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "mmmu", "score": 81.6, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "MMMU, per GPT-5 dev blog table 1", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "mmmu_pro", "score": 74.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "MMMU-Pro avg, per GPT-5 dev blog table 1", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "charxiv_reasoning", "score": 75.5, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "python", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "CharXiv reasoning python-enabled, per GPT-5 dev blog table 1", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "video_mmmu", "score": 82.5, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "VideoMMMU max-frame 256, per GPT-5 dev blog table 1", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "erqa", "score": 62.9, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "ERQA, per GPT-5 dev blog table 1", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "swelancer_freelance_dollars", "score": 75000, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "SWE-Lancer IC SWE Diamond Freelance $75K, per GPT-5 dev blog table 2", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "swe_bench_verified", "score": 71.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "SWE-bench Verified, per GPT-5 dev blog table 2", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "aider_polyglot_diff", "score": 71.6, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "Aider polyglot diff, per GPT-5 dev blog table 2", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "multichallenge_o3mini_grader", "score": 62.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "Scale Multichallenge o3-mini grader, per GPT-5 dev blog table 3", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "internal_api_if_hard", "score": 65.8, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "Internal API IF hard, per GPT-5 dev blog table 3", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "collie", "score": 98.5, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "COLLIE, per GPT-5 dev blog table 3", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "tau2_bench_airline", "score": 60.0, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "Tau2-bench airline, per GPT-5 dev blog table 4", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "tau2_bench_retail", "score": 78.3, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "high", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "Tau2-bench retail, per GPT-5 dev blog table 4", "candidates": [] }, { "model_id": "gpt-5-mini", "benchmark_id": "tau2_bench_telecom", "score": 74.1, "reference_url": "https://openai.com/index/introducing-gpt-5-for-developers/", "source_type": "official_blog", "reported_setting": { "mode": 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"benchmark_id": "swelancer", "score": 76.0, "reference_url": "https://openai.com/index/introducing-gpt-5-3-codex/", "source_type": "official_blog", "reported_setting": { "mode": "thinking", "effort": "xhigh", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official" }, "matches_canonical": true, "audit_status": "verified", "notes": "SWE-Lancer IC Diamond, per GPT-5.3-Codex blog table 0", "candidates": [] }, { "model_id": "claude-opus-4.7", "benchmark_id": "frontiermath_tier4", "score": 22.9, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenAI internal", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "GPT-5.5 blog table: FrontierMath Tier 4=22.9%; third-party self-test by OpenAI" }, { "model_id": "claude-opus-4.7", "benchmark_id": "gdpval_oai_woe", "score": 80.3, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenAI internal", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "GPT-5.5 blog table: GDPval(wins or ties)=80.3%; third-party self-test by OpenAI" }, { "model_id": "claude-opus-4.7", "benchmark_id": "officeqa_pro", "score": 43.6, "reference_url": "https://openai.com/index/introducing-gpt-5-5/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OpenAI internal", "prompt_style": "default", "temperature": "default" }, "matches_canonical": false, "source_type": "third_party", "audit_status": "verified", "notes": "GPT-5.5 blog table: OfficeQA Pro=43.6%; third-party self-test by OpenAI" }, { "model_id": "muse-spark", "benchmark_id": "charxiv_reasoning", "score": 86.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog main table: CharXiv Reasoning 86.4, Thinking mode.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "erqa", "score": 64.7, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog main table: ERQA 64.7, Thinking mode. 925 questions with GPT-4.1-genai judge.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "simplevqa", "score": 71.3, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog main table: SimpleVQA 71.3, Thinking mode.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "screenspot_pro", "score": 84.1, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "python (cropping tool)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default", "notes": "with-Python variant per methodology; canonical BP is no-tools" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: ScreenSpot Pro 84.1 with Python cropping tool. matches_canonical=false: canonical uses no tools.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "zerobench_tools", "score": 33.0, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "python", "sampling": "pass@5", "judge": "rule-based", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default", "notes": "pass@5 per zerobench leaderboard convention; with Python" }, "matches_canonical": false, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: ZeroBench 33.0, pass@5 with Python. matches_canonical=false: canonical BP uses pass@1.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "hle_tools", "score": 50.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "bash + browser (blocklist: hf.co, kaggle, pwc, lmsys)", "sampling": "pass@1 (single-pass)", "judge": "gpt-o3-mini (LLM-as-judge)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: HLE (With Tools) 50.4, Thinking mode. Bash and browser tools enabled per methodology.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "healthbench_hard", "score": 42.8, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "gpt-4.1-genai (LLM-as-judge)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: HealthBench Hard 42.8, Thinking mode. 1,000 prompts, GPT-4.1-genai judge.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "medxpertqa_text", "score": 52.6, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "gpt-oss-120b", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: MedXpertQA Text 52.6, Thinking mode. 2,450 prompts, 10 choices, gpt-oss-120b judge.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "medxpertqa_mm", "score": 78.4, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "gpt-oss-120b", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: MedXpertQA MM 78.4, Thinking mode. 2,000 multimodal medical questions.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "deepsearchqa_f1", "score": 74.8, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "agentic (browser: search, open, find)", "sampling": "pass@1 (single-pass)", "judge": "gpt-oss-120b (LLM-as-judge for F1)", "harness": "internal (Meta MSL)", "prompt_style": "default", "temperature": "default" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: DeepSearchQA F1 74.8, Thinking mode. Agentic browser tools, F1 metric.", "candidates": [] }, { "model_id": "muse-spark", "benchmark_id": "tau2_bench_telecom", "score": 91.5, "reference_url": "https://ai.meta.com/blog/introducing-muse-spark-msl/", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Artificial Analysis \u03c4\u00b2-Bench Telecom Leaderboard", "prompt_style": "default", "temperature": "default", "notes": "Results from Artificial Analysis leaderboard per Meta methodology" }, "matches_canonical": true, "source_type": "official_blog", "audit_status": "verified", "rule_ids": [ "R5b" ], "notes": "Meta MSL blog: \u03c4\u00b2-bench Telecom 91.5. Sourced from Artificial Analysis leaderboard.", "candidates": [] }, { "model_id": "o1-mini", "benchmark_id": "humaneval", "score": 92.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'o1-mini', rank 7, accessed 2026-04-29). Setting unknown." }, { "model_id": "qwen-2.5-32b", "benchmark_id": "humaneval", "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Qwen2.5 32B Instruct', rank 21, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemma-3-12b", "benchmark_id": "humaneval", "score": 85.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemma 3 12B', rank 34, accessed 2026-04-29). Setting unknown." }, { "model_id": "qwen-2.5-7b", "benchmark_id": "humaneval", "score": 84.8, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Qwen2.5 7B Instruct', rank 37, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemini-1.5-pro", "benchmark_id": "humaneval", "score": 84.1, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemini 1.5 Pro', rank 39, accessed 2026-04-29). Setting unknown." }, { "model_id": "llama-3.1-70b", "benchmark_id": "humaneval", "score": 80.5, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Llama 3.1 70B Instruct', rank 45, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemini-1.5-flash", "benchmark_id": "humaneval", "score": 74.3, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemini 1.5 Flash', rank 51, accessed 2026-04-29). Setting unknown." }, { "model_id": "llama-3.1-8b", "benchmark_id": "humaneval", "score": 72.6, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Llama 3.1 8B Instruct', rank 54, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemma-3-4b", "benchmark_id": "humaneval", "score": 71.3, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemma 3 4B', rank 56, accessed 2026-04-29). Setting unknown." }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "humaneval", "score": 68.0, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'GPT-3.5 Turbo', rank 58, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemma-2-27b", "benchmark_id": "humaneval", "score": 51.8, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemma 2 27B', rank 63, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemma-3-1b", "benchmark_id": "humaneval", "score": 41.5, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemma 3 1B', rank 64, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemma-2-9b", "benchmark_id": "humaneval", "score": 40.2, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemma 2 9B', rank 65, accessed 2026-04-29). Setting unknown." }, { "model_id": "ministral-8b", "benchmark_id": "humaneval", "score": 34.8, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Ministral 8B Instruct', rank 66, accessed 2026-04-29). Setting unknown." }, { "model_id": "minicpm-sala", "benchmark_id": "humaneval", "score": 95.1, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'MiniCPM-SALA', rank 1, accessed 2026-04-29). Setting unknown." }, { "model_id": "qwen2.5-coder-32b-instruct", "benchmark_id": "humaneval", "score": 92.7, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Qwen2.5-Coder 32B Instruct', rank 6, accessed 2026-04-29). Setting unknown." }, { "model_id": "sarvam-30b", "benchmark_id": "humaneval", "score": 92.1, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Sarvam-30B', rank 8, accessed 2026-04-29). Setting unknown." }, { "model_id": "qwen2.5-vl-32b-instruct", "benchmark_id": "humaneval", "score": 91.5, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Qwen2.5 VL 32B Instruct', rank 11, accessed 2026-04-29). Setting unknown." }, { "model_id": "granite-3.3-8b-instruct", "benchmark_id": "humaneval", "score": 89.7, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Granite 3.3 8B Instruct', rank 13, accessed 2026-04-29). Setting unknown." }, { "model_id": "granite-3.3-8b-base", "benchmark_id": "humaneval", "score": 89.7, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Granite 3.3 8B Base', rank 13, accessed 2026-04-29). Setting unknown." }, { "model_id": "gemini-diffusion", "benchmark_id": "humaneval", "score": 89.6, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Gemini Diffusion', rank 15, accessed 2026-04-29). Setting unknown." }, { "model_id": "longcat-flash-chat", "benchmark_id": "humaneval", "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'LongCat-Flash-Chat', rank 19, accessed 2026-04-29). Setting unknown." }, { "model_id": "qwen2.5-coder-7b-instruct", "benchmark_id": "humaneval", "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Qwen2.5-Coder 7B Instruct', rank 21, accessed 2026-04-29). Setting unknown." }, { "model_id": "grok-2", "benchmark_id": "humaneval", "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/humaneval", "reported_setting": { "mode": "unknown", "harness": "unknown (llm-stats aggregator)", "sampling": "unknown", "judge": "unknown", "notes": "Setting not disclosed by aggregator" }, "audit_status": "verified_third_party", "source_type": "third_party_aggregator", "notes": "From llm-stats.com HumanEval leaderboard (display name 'Grok-2', rank 21, accessed 2026-04-29). 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Standard Thinking mode. Contemplating mode results flagged for review." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Muse Spark, slug=muse-spark, provider=Meta" }, { "model_id": "grok-4", "benchmark_id": "gpqa_main", "score": 88.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "heavy" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" }, { "model_id": "gpt-5.1", "benchmark_id": "gpqa_main", "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "high" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5.1 High, slug=gpt-5.1-high-2025-11-12, provider=OpenAI" }, { "model_id": "deepseek-v4-flash", "benchmark_id": "gpqa_main", "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "max" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" }, { "model_id": "gpt-5", "benchmark_id": "gpqa_main", "score": 88.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "medium" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 Medium, slug=gpt-5-medium-2025-08-07, provider=OpenAI" }, { "model_id": "kimi-k2.5", "benchmark_id": "gpqa_main", "score": 87.6, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default (96k for reasoning, 64k for vision)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "1.0", "context": "256K", "notes": "Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2.5, slug=kimi-k2.5, provider=Moonshot AI" }, { "model_id": "claude-opus-4.5", "benchmark_id": "gpqa_main", "score": 87.0, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "high (default)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (for terminal-bench); official otherwise", "prompt_style": "interleaved scratchpads", "temperature": "default (top_p, temperature)", "context": "200K (default)", "notes": "Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude Opus 4.5, slug=claude-opus-4-5-20251101, provider=Anthropic" }, { "model_id": "gemini-2.5-pro", "benchmark_id": "gpqa_main", "score": 86.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none", "sampling": "pass@1 (single attempt)", "judge": "rule-based", "harness": "AI Studio API", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Gemini 2.5 Pro Preview 06-05, slug=gemini-2.5-pro-preview-06-05, provider=Google" }, { "model_id": "glm-5.1", "benchmark_id": "gpqa_main", "score": 86.2, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5.1 blog." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GLM-5.1, slug=glm-5.1, provider=Zhipu AI" }, { "model_id": "glm-4.7", "benchmark_id": "gpqa_main", "score": 85.7, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-5 blog." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GLM-4.7, slug=glm-4.7, provider=Zhipu AI" }, { "model_id": "claude-3.7-sonnet", "benchmark_id": "gpqa_main", "score": 84.8, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "zeroshot-cot", "temperature": 0.0, "context": "default", "notes": "Per Claude 4 blog cross-model table: with extended thinking for GPQA/MMMU/AIME/TAU; no extended thinking for SWE/Terminal/MMMLU." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude 3.7 Sonnet, slug=claude-3-7-sonnet-20250219, provider=Anthropic" }, { "model_id": "grok-3-beta", "benchmark_id": "gpqa_main", "score": 84.6, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per xAI Grok 3 blog: canonical = non-reasoning mode (the cross-model table without 'Think' label). Reasoning ON values not used." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-3, slug=grok-3, provider=xAI" }, { "model_id": "kimi-k2-thinking", "benchmark_id": "gpqa_main", "score": 84.5, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg@32 for AIME/HMMT no-tools)", "judge": "rule-based (HLE uses o3-mini)", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (256K)", "notes": "Per Kimi K2 Thinking blog (moonshotai.github.io/Kimi-K2/thinking.html). Thinking model." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Kimi K2-Thinking-0905, slug=kimi-k2-thinking-0905, provider=Moonshot AI" }, { "model_id": "claude-sonnet-4.5", "benchmark_id": "gpqa_main", "score": 83.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "high (default)", "tools": "none (per-bench override)", "sampling": "pass@1 (avg 5 trials)", "judge": "rule-based", "harness": "Terminus-2 (for terminal-bench); official otherwise", "prompt_style": "interleaved scratchpads", "temperature": "default (top_p, temperature)", "context": "200K (default)", "notes": "Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude Sonnet 4.5, slug=claude-sonnet-4-5-20250929, provider=Anthropic" }, { "model_id": "o3-high", "benchmark_id": "gpqa_main", "score": 83.3, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "default (o3 base, not high)" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" }, { "model_id": "gemini-2.5-flash", "benchmark_id": "gpqa_main", "score": 82.8, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single attempt; multi-trial avg for smaller bench)", 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"reported_setting": { "mode": "thinking", "effort": "high", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/" }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-5 mini, slug=gpt-5-mini-2025-08-07, provider=OpenAI" }, { "model_id": "o4-mini-high", "benchmark_id": "gpqa_main", "score": 81.4, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "default (o4-mini base, not high)" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" }, { "model_id": "qwen3-235b", "benchmark_id": "gpqa_main", "score": 81.1, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "snapshot": "2507" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "glm-4.6", "benchmark_id": "gpqa_main", "score": 81.0, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per GLM-4.7 blog." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GLM-4.6, slug=glm-4.6, provider=Zhipu AI" }, { "model_id": 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Single-pass values; harness=Terminus 1 for Terminal-Bench (note: differs from Claude 4 blog which used Claude Code framework)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude Opus 4.1, slug=claude-opus-4-1-20250805, provider=Anthropic" }, { "model_id": "gpt-oss-120b", "benchmark_id": "gpqa_main", "score": 80.9, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "effort": "high" }, "matches_canonical": false, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" }, { "model_id": "claude-opus-4", "benchmark_id": "gpqa_main", "score": 79.6, "reference_url": "https://llm-stats.com/benchmarks/gpqa", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1 (single-pass)", "judge": "rule-based", "harness": "Claude Code agent framework (for agentic benchmarks)", "prompt_style": "default", "temperature": "top_p=0.95", "context": "default", "notes": "Per Anthropic Claude 4 announcement table: single-pass values; no extended thinking for SWE/Terminal/MMMLU; extended thinking up to 64K for GPQA/MMMU/AIME/TAU; tools=agentic for SWE/Terminal/TAU/OSWorld. 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canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Phi-3.5-MoE-instruct, slug=phi-3.5-moe-instruct, provider=Microsoft" }, { "model_id": "gpt-3.5-turbo", "benchmark_id": "mgsm", "score": 56.3, "reference_url": "https://llm-stats.com/benchmarks/mgsm", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=GPT-3.5 Turbo, slug=gpt-3.5-turbo-0125, provider=OpenAI" }, { "model_id": "phi-3.5-mini-instruct", "benchmark_id": "mgsm", "score": 47.9, "reference_url": "https://llm-stats.com/benchmarks/mgsm", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Phi-3.5-mini-instruct, slug=phi-3.5-mini-instruct, provider=Microsoft" }, { "model_id": "qwen3.6-plus", "benchmark_id": "mmlongbench_doc", "score": 62.0, "reference_url": "https://llm-stats.com/benchmarks/mmlongbench-doc", "reported_setting": {}, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "minimax-m2.1", "benchmark_id": "mmlu_pro", "score": 88.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "thinking", "effort": "default", "tools": "none (per-bench override)", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per MiniMax M2.5 model card (referenced as predecessor)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" }, { "model_id": "longcat-flash-chat", "benchmark_id": "mmlu_pro", "score": 82.7, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=LongCat-Flash-Chat, slug=longcat-flash-chat, provider=Meituan" }, { "model_id": "sarvam-30b", "benchmark_id": "mmlu_pro", "score": 80.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Sarvam-30B, slug=sarvam-30b, provider=Sarvam AI" }, { "model_id": "grok-2", "benchmark_id": "mmlu_pro", "score": 75.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-2, slug=grok-2, provider=xAI" }, { "model_id": "grok-2-mini", "benchmark_id": "mmlu_pro", "score": 72.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-2 mini, slug=grok-2-mini, provider=xAI" }, { "model_id": "qwen-2.5-32b", "benchmark_id": "mmlu_pro", "score": 69.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5 32B Instruct, slug=qwen-2.5-32b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "claude-3-opus", "benchmark_id": "mmlu_pro", "score": 68.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude 3 Opus, slug=claude-3-opus-20240229, provider=Anthropic" }, { "model_id": "minicpm-sala", "benchmark_id": "mmlu_pro", "score": 67.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=MiniCPM-SALA, slug=minicpm-sala, provider=OpenBMB" }, { "model_id": "llama-3.1-70b", "benchmark_id": "mmlu_pro", "score": 66.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Llama 3.1 70B Instruct, slug=llama-3.1-70b-instruct, provider=Meta" }, { "model_id": "mistral-small-24b", "benchmark_id": "mmlu_pro", "score": 66.3, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Mistral Small 3 24B Instruct, slug=mistral-small-24b-instruct-2501, provider=Mistral AI" }, { "model_id": "claude-3.5-haiku", "benchmark_id": "mmlu_pro", "score": 65.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude 3.5 Haiku, slug=claude-3-5-haiku-20241022, provider=Anthropic" }, { "model_id": "qwen2-72b-instruct", "benchmark_id": "mmlu_pro", "score": 64.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2 72B Instruct, slug=qwen2-72b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "claude-3-sonnet", "benchmark_id": "mmlu_pro", "score": 56.8, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Claude 3 Sonnet, slug=claude-3-sonnet-20240229, provider=Anthropic" }, { "model_id": "qwen-2.5-7b", "benchmark_id": "mmlu_pro", "score": 56.3, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5 7B Instruct, slug=qwen-2.5-7b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "grok-1.5", "benchmark_id": "mmlu_pro", "score": 51.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Grok-1.5, slug=grok-1.5, provider=xAI" }, { "model_id": "phi-3.5-mini-instruct", "benchmark_id": "mmlu_pro", "score": 47.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Phi-3.5-mini-instruct, slug=phi-3.5-mini-instruct, provider=Microsoft" }, { "model_id": "qwen2.5-omni-7b", "benchmark_id": "mmlu_pro", "score": 47.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5-Omni-7B, slug=qwen2.5-omni-7b, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "phi-3.5-moe-instruct", "benchmark_id": "mmlu_pro", "score": 45.3, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Phi-3.5-MoE-instruct, slug=phi-3.5-moe-instruct, provider=Microsoft" }, { "model_id": "qwen2-7b-instruct", "benchmark_id": "mmlu_pro", "score": 44.1, "reference_url": "https://llm-stats.com/benchmarks/mmlu-pro", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); canonical setting not established." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2 7B Instruct, slug=qwen2-7b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "qwen3.6-plus", "benchmark_id": "mmlu_redux", "score": 94.5, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": {}, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "qwen-2.5-32b", "benchmark_id": "mmlu_redux", "score": 83.9, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5 32B Instruct, slug=qwen-2.5-32b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "mistral-large-3", "benchmark_id": "mmlu_redux", "score": 82.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": {}, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Mistral Large 3, slug=mistral-large-3-2509, provider=Mistral AI" }, { "model_id": "qwen-2.5-14b-instruct", "benchmark_id": "mmlu_redux", "score": 80.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "official", "prompt_style": "default", "temperature": "default", "context": "default (128K)", "notes": "Per Phi-4 paper Table 1 baseline." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5 14B Instruct, slug=qwen-2.5-14b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "qwen-2.5-7b", "benchmark_id": "mmlu_redux", "score": 75.4, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": { "mode": "non-thinking", "effort": "n/a", "tools": "none", "sampling": "pass@1", "judge": "rule-based", "harness": "OLMES (Allen AI)", "prompt_style": "default", "temperature": "default", "context": "default", "notes": "Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)." }, "matches_canonical": true, "source_type": "third_party_aggregator", "audit_status": "verified_third_party", "notes": "llm-stats.com row: model=Qwen2.5 7B Instruct, slug=qwen-2.5-7b-instruct, provider=Alibaba Cloud / Qwen Team" }, { "model_id": "qwen2.5-omni-7b", "benchmark_id": "mmlu_redux", "score": 71.0, "reference_url": "https://llm-stats.com/benchmarks/mmlu-redux", "reported_setting": { "mode": "unknown", "effort": "n/a", "tools": "unknown", "sampling": "unknown", "judge": "unknown", "harness": "unknown", "prompt_style": "unknown", "temperature": "unknown", "context": "unknown", "notes": "Model added from third-party aggregator (llm-stats.com); 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