Datasets:
microsoft
/
benchpress-score-matrix

Dataset card Data Studio Files
xet
 Community
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benchmark_id
stringlengths
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benchmark_name
stringlengths
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category
stringclasses
92 values
metric
stringlengths
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⌀
num_problems
float64
3
590k
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source_url
stringlengths
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canonical_setting_json
stringlengths
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1.52k
vitabench
VitaBench
Tool Use
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"tool calls","version":"VitaBench"}
viverbench
ViVerBench
Vision VQA
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ViVerBench"}
vlms_are_biased
VLMsAreBiased
Vision Perception
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VLMsAreBiased"}
vlms_are_blind
VLMsAreBlind
Vision Perception
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VLMsAreBlind"}
vpct
VPCT
Vision Puzzles
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VPCT"}
widesearch
WideSearch (item-F1)
Search Agent
%
200
https://huggingface.co/datasets/ByteDance-Seed/WideSearch
{"higher_is_better":true,"judge":"evaluation pipeline mixes exact/URL/numeric matching with LLM-assisted cell judgment","metric":"item-F1 over required table fields","metric_type":"pct","multimodal_input":false,"notes":"Official paper and dataset report 200 broad information-seeking tasks, split 100 English and 100 Chi...
wildbench
WildBench
Chat
Raw Score
null
https://github.com/InternLM/InternLM
{"higher_is_better":true,"metric_type":"raw","multimodal_input":false,"notes":"Per InternLM3 GitHub README. WildBench raw score.","range":[null,null],"tools":"none","version":"WildBench (Raw Score)"}
world_travel_text
WorldTravel (TEXT)
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"WorldTravel (TEXT)"}
world_travel_vlm
WorldTravel (VLM)
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"WorldTravel (VLM)"}
worldvqa
WorldVQA
Multimodal Knowledge
accuracy (%)
3,000
https://huggingface.co/datasets/moonshotai/WorldVQA/tree/29e1d54b27ffb34cdffb4cdc95d29afcf101f1f7
{"harness":"official","higher_is_better":true,"judge":"official default gpt-oss-120b judge","metric_type":"pct","multimodal_input":true,"notes":"Released first-eight-category leaderboard excluding People.","range":[0,100],"sampling":"pass@1","tools":"none","version":"WorldVQA"}
xbench_deepsearch
xbench-DeepSearch
Search Agent
%
100
https://huggingface.co/datasets/xbench/DeepSearch
{"higher_is_better":true,"metric":"accuracy","metric_type":"pct","multimodal_input":false,"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 de...
xlrs_macro
XLRS-Bench (macro)
Vision STEM
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"XLRS-Bench (macro)"}
xpert_bench
XPertBench
Economic
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"XPertBench"}
zerobench_main
ZeroBench (main)
Vision Puzzles
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ZeroBench (main)"}
zerobench_sub
ZeroBench (sub)
Vision Puzzles
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ZeroBench (sub)"}
zerobench_tools
ZeroBench main (with tools)
Multimodal Reasoning
accuracy (%)
100
https://arxiv.org/abs/2502.09696
{"harness":"official","higher_is_better":true,"judge":"benchmark-specified","metric_type":"pct","multimodal_input":true,"notes":"Main 100-question set with tool access.","range":[0,100],"sampling":"pass@1","tools":"search/code/web tools","version":"ZeroBench main (with tools)"}
kimi_code_bench_v2
Kimi Code Bench v2
Coding
score (%)
null
https://huggingface.co/moonshotai/Kimi-K2.7-Code
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Moonshot in-house coding-agent benchmark spanning 10+ languages and production software-engineering tasks. The source does not report the task count.","range":[0,100],"version":"Kimi Code Bench v2"}
program_bench
ProgramBench
Coding
macro-average behavioral tests passed (%)
200
https://programbench.com/
{"harness":"official ProgramBench sandbox","higher_is_better":true,"judge":"248,000+ fuzz-generated behavioral tests","metric_type":"pct","multimodal_input":false,"notes":"Canonical score is the macro-average behavioral-tests-passed rate. Full task resolution is a distinct future metric and is not mixed into this id.",...
mls_bench_lite
MLS-Bench-Lite
Coding
score (0-100)
30
https://mls-bench.com/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official 30-task subset of MLS-Bench. Agents receive five hours to develop and submit scalable ML methods.","range":[0,100],"version":"Official MLS-Bench-Lite 30-task subset"}
kimi_claw_24_7
Kimi Claw 24/7 Bench
Agentic
% average pass rate
17
https://huggingface.co/moonshotai/Kimi-K2.7-Code
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"17 persistent multi-day professional scenarios covering 610 evaluation points in the OpenClaw harness. Final score is the average pass rate over evaluation points and three runs.","range":[0,100],"version":"Kimi Claw 24/7 Bench"}
mcpmark_verified
MCPMark-Verified
Agentic
% success
null
https://huggingface.co/moonshotai/Kimi-K2.7-Code
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Human-verified edition across Notion, GitHub, Filesystem, Postgres, and Playwright. Official configuration uses a 100-step tool-call budget, 32K max tokens per step, and averages three runs. Task count was not reported.","range":[0,100],"ver...
aa_briefcase_elo
AA-Briefcase (Elo)
Agentic
Elo rating
91
https://artificialanalysis.ai/evaluations/aa-briefcase
{"higher_is_better":true,"metric_type":"elo_rating","multimodal_input":true,"notes":"Composite Artificial Analysis rating over rubric correctness, analytical quality, and presentation quality; live snapshot scores can drift.","range":null,"version":"AA-Briefcase live 91-task series"}
agents_last_exam
Agents' Last Exam
Agentic
% tasks passed
null
https://agents-last-exam.org/docs/ale/index.html
{"higher_is_better":true,"metric_type":"pass_rate_pct","multimodal_input":true,"notes":"Professional computer-use tasks with hidden-reference grading. The public corpus is growing, so the scored item count is not stable.","range":[0,100],"version":"Living public benchmark; no fixed scored version"}
automation_bench
AutomationBench
Agentic
% tasks passed
600
https://github.com/zapier/AutomationBench
{"higher_is_better":true,"metric_type":"strict_pass_rate_pct","multimodal_input":false,"notes":"A task passes only when every final-state assertion passes. Distinct from AutomationBench-AA.","range":[0,100],"version":"Public 600-task scored set"}
corpfin_v2
CorpFin v2
Finance
% accuracy
858
https://www.vals.ai/benchmarks/corp_fin_v2
{"higher_is_better":true,"metric_type":"accuracy_pct","multimodal_input":false,"notes":"858 questions from 43 credit agreements, evaluated under documented context variants.","range":[0,100],"version":"CorpFin v2 held-out test set"}
deep_swe_v1_1
DeepSWE v1.1
Agentic Coding
% resolved (pass@1)
113
https://github.com/datacurve-ai/deep-swe
{"harness":"Pier newer than 0.3.0 with a separate pristine verifier environment","higher_is_better":true,"judge":"program-based functional and regression verifiers","metric_type":"pass_at_1_pct","multimodal_input":false,"notes":"Official 113-task v1.1 corpus across five languages. The official leaderboard uses Pier and...
finance_agent_v2
Finance Agent v2
Finance
% weighted partial credit
927
https://www.vals.ai/benchmarks/fabv2
{"higher_is_better":true,"judge":"three-model jury: GPT-5.4, Gemini 3.1 Pro, Claude Sonnet 4.6","metric_type":"weighted_partial_credit_pct","multimodal_input":false,"notes":"Finance Agent v2 has 927 questions: 27 public, 450 private validation, 450 held-out test. Published scores use the hidden 450-task test and dealbr...
frontier_swe
FrontierSWE
Agentic Coding
dominance (%)
17
https://www.frontierswe.com/
{"harness":"public FrontierSWE harness","higher_is_better":true,"judge":"continuous partial-credit task scoring and dominance","metric_type":"dominance_pct","multimodal_input":false,"notes":"Dominance is win probability against a random opponent over continuous task scores; Grok 4.5 uses Grok CLI.","range":[0,100],"sam...
harvey_lab_aa
Harvey LAB-AA
Agentic
% rubric criteria passed
120
https://artificialanalysis.ai/evaluations/harvey-lab-aa
{"higher_is_better":true,"metric_type":"criterion_pass_rate_pct","multimodal_input":true,"notes":"Criterion pass rate over 120 private legal tasks across 24 practice areas.","range":[0,100],"version":"Artificial Analysis 120-task LAB-AA implementation"}
job_bench
JobBench
Agentic
% weighted rubric score
65
https://github.com/Job-Bench/job-bench-eval
{"higher_is_better":true,"metric_type":"weighted_rubric_score_pct","multimodal_input":true,"notes":"Professional-work deliverables scored by weighted rubrics; excludes the easy smoke-test split.","range":[0,100],"version":"Main 65-task leaderboard split"}
legal_research_bench
Legal Research Bench
Agentic
% all-pass accuracy
null
https://www.vals.ai/benchmarks/legal_research
{"higher_is_better":true,"metric_type":"all_pass_accuracy_pct","multimodal_input":false,"notes":"A question passes only when every required rubric item passes; exact hidden count is not public.","range":[0,100],"version":"Current Vals held-out suite"}
osworld_2_0
OSWorld 2.0
Agentic
% weighted checkpoint score
108
https://osworld-v2.xlang.ai/
{"higher_is_better":true,"metric_type":"weighted_checkpoint_score_pct","multimodal_input":true,"notes":"Separate 108-workflow benchmark with weighted checkpoint partial scoring at the standard 500-step budget.","range":[0,100],"version":"OSWorld 2.0"}
osworld_verified
OSWorld-Verified
Agentic
% task success
369
https://xlang.ai/blog/osworld-verified
{"higher_is_better":true,"metric_type":"task_success_rate_pct","multimodal_input":true,"notes":"Repaired OSWorld 1.x lineage, distinct from OSWorld 2.0. Some runs exclude eight Google Drive tasks; score-level notes must disclose exclusions when known.","range":[0,100],"version":"OSWorld-Verified revision announced 2025...
perception_bench
PerceptionBench
Vision Perception
% accuracy
3,000
https://github.com/MoonshotAI/PerceptionBench
{"higher_is_better":true,"metric_type":"accuracy_pct","multimodal_input":true,"notes":"Open-ended visual perception questions across ten atomic capabilities; binary judge verdict per response.","range":[0,100],"version":"Initial 3,000-question release"}
posttrain_bench
PostTrainBench
Agentic Research
weighted average objective score (%)
28
https://github.com/aisa-group/PostTrainBench
{"harness":"one H100 for 10 hours","higher_is_better":true,"judge":"benchmark-specified","metric_type":"pct","multimodal_input":false,"notes":"Seven objectives across four base models; count actual objective runs as 28.","range":[0,100],"sampling":"pass@1","tools":"post-training pipeline modification","version":"PostTr...
saas_bench
SaaS-Bench
Agentic
% checkpoint score
106
https://github.com/UniPat-AI/SaaS-Bench
{"higher_is_better":true,"metric_type":"checkpoint_score_pct","multimodal_input":true,"notes":"Workflow checkpoint score across 23 self-hosted SaaS applications; distinct from strict resolved-task rate.","range":[0,100],"version":"Initial 106-task release"}
spreadsheetbench_2
SpreadsheetBench 2
Office
% modification accuracy
321
https://github.com/RUCKBReasoning/SpreadsheetBench-2
{"higher_is_better":true,"metric_type":"modification_accuracy_pct","multimodal_input":true,"notes":"Spreadsheet modification benchmark covering debugging, financial models, templates, and visualization.","range":[0,100],"version":"SpreadsheetBench 2"}
swe_marathon_h20_2026_07_09
SWE-Marathon H20 Snapshot (2026-07-09)
Agentic Coding
% resolved (pass@1)
20
https://github.com/abundant-ai/swe-marathon
{"higher_is_better":true,"metric_type":"pass_at_1_pct","multimodal_input":false,"notes":"Source-specific Moonshot H20 calibration before final v1.1; kept separate from canonical SWE-Marathon releases.","range":[0,100],"version":"H20-calibrated pre-final-v1.1 branch dated 2026-07-09"}
tau3_banking
τ³-Banking
Tool Use
% passed (pass@1)
97
https://github.com/sierra-research/tau2-bench
{"higher_is_better":true,"metric_type":"pass_at_1_pct","multimodal_input":false,"notes":"Knowledge-retrieval and transactional banking customer-service scenarios. K3 source does not pin the corrected release.","range":[0,100],"version":"\u03c4\u00b3-bench banking_knowledge"}
terminal_bench_2_1
Terminal-Bench 2.1
Agentic Coding
% resolved (pass@1)
89
https://www.tbench.ai/news/terminal-bench-2-1
{"harness":"Harbor with submitted agent/model/sandbox provenance","higher_is_better":true,"judge":"task executable verifier","metric_type":"pass_at_1_pct","multimodal_input":false,"notes":"All 89 tasks. The official release page says 28 tasks changed from 2.0; the pinned official repository README says 26. The task cou...
toolathlon_verified
Toolathlon-Verified
Tool Use
mean pass@1 (%)
108
https://toolathlon.xyz/docs/blog/toolathlon-verified
{"higher_is_better":true,"metric_type":"mean_pass_at_1_pct","multimodal_input":true,"notes":"Official repaired release, separate from original Toolathlon; mean pass@1 across three runs.","range":[0,100],"version":"Toolathlon-Verified released 2026-06-30"}
coding_experience
Coding Experience
Coding
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Practical coding-agent experience in real development workflows; provider-aligned Claude Code, Kimi Code, or Codex harness.","range":[0,100],"version":"Kimi internal Coding Experience; version unspecified"}
clawbench_2_0
24/7 ClawBench 2.0
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Always-on, multi-day assistant tasks with concurrent events and interruptions; OpenClaw harness.","range":[0,100],"version":"24/7 ClawBench 2.0"}
mira_bench
MIRA Bench
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Multi-agent enterprise collaboration, delegation, and routing; MIRA harness.","range":[0,100],"version":"Kimi internal MIRA Bench; version unspecified"}
kaet
KAET
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Long-horizon autonomous execution simulating user requests and enterprise operations; Kimi Code harness.","range":[0,100],"version":"Kimi Autonomous Execution Tasks; version unspecified"}
clif_bench
CLIF Bench
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"In-context learning with instructions interleaving multiple complex skills; Kimi Code harness.","range":[0,100],"version":"Context Learning and Instruction Following Bench; version unspecified"}
agentic_vision_bench
Agentic Vision Bench
Vision Agent
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Tests whether agents notice and use key visual facts during execution; Kimi Code harness.","range":[0,100],"version":"Kimi internal Agentic Vision Bench; version unspecified"}
swarm_bench
SwarmBench
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Agent-swarm orchestration through coordinated decomposition and parallel execution; Kimi Agent harness.","range":[0,100],"version":"Kimi internal SwarmBench; version unspecified"}
online_experience
Online Experience
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Real online-agent usage and commonly requested deliverable file types; Kimi Agent harness.","range":[0,100],"version":"Kimi internal Online Experience; version unspecified"}
finance_bench
Finance Bench
Finance
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Kimi internal realistic financial work from source materials to reviewable deliverables; distinct from public FinanceBench.","range":[0,100],"version":"Kimi internal Finance Bench; version unspecified"}
kwv_bench
KWVBench
Vision Agent
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Atomic visual capabilities distilled from real knowledge-work scenarios.","range":[0,100],"version":"Kimi internal Knowledge Work Vision Bench; version unspecified"}
deck_bench
DECKBench
Office
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Presentation-deck generation from real-usage task descriptions.","range":[0,100],"version":"Kimi internal DECKBench; version unspecified"}
agent_behavior_bench
Agent Behavior Bench
Agentic
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Process quality, tool use, efficiency, and discipline alongside task completion; Kimi Work harness.","range":[0,100],"version":"Kimi internal Agent Behavior Bench; version unspecified"}
faithfulness
Faithfulness
Factuality
1 - hallucination rate (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Responses are fact-checked; the reported higher-is-better metric is one minus hallucination rate.","range":[0,100],"version":"Kimi internal Faithfulness; version unspecified"}
chat_all_in_one_bench
Chat All-in-One Bench
Chat
score (%)
null
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Conversational experience across every stage of product usage; Kimi Work harness.","range":[0,100],"version":"Kimi internal Chat All-in-One Bench; version unspecified"}
aa_intelligence_index_v4_1
Artificial Analysis Intelligence Index v4.1
Composite
composite score
null
https://artificialanalysis.ai/methodology/intelligence-benchmarking
{"higher_is_better":true,"metric_type":"weighted_composite_score","multimodal_input":false,"notes":"Version-pinned English text-only composite. Stored scores are the K3 report's 2026-07-23 live leaderboard snapshot.","range":[0,100],"version":"Artificial Analysis Intelligence Index v4.1"}
vals_index
Vals Index
Composite
weighted accuracy (%)
null
https://www.vals.ai/benchmarks/vals_index
{"higher_is_better":true,"metric_type":"weighted_accuracy_pct","multimodal_input":false,"notes":"GDP-weighted professional benchmark composite; methodology can change over time.","range":[0,100],"version":"Live Vals Index snapshot"}
webdev_arena_elo
WebDevArena Elo
Human Preference
Arena score
null
https://arena.ai/leaderboard/code/webdev
{"higher_is_better":true,"metric_type":"arena_score","multimodal_input":false,"notes":"Blind pairwise preference over generated web applications; scores drift as votes accumulate.","range":null,"version":"Live leaderboard snapshot"}
text_arena_elo
Arena Text Elo
Human Preference
Elo rating
null
https://arena.ai/leaderboard/text
{"higher_is_better":true,"judge":"blind human pairwise preference votes","metric_type":"elo","multimodal_input":false,"notes":"Dynamic Elo snapshot; score observations must record snapshot date because ratings drift.","range":null,"tools":"none","version":"Live Arena Text leaderboard snapshot"}
agent_arena
AgentArena
Agentic
net improvement
null
https://arena.ai/blog/agent-arena-methodology
{"higher_is_better":true,"metric_type":"mean_treatment_effect","multimodal_input":false,"notes":"Causal treatment-effect estimate over real Agent Mode sessions; no fixed task count or invariant baseline.","range":null,"version":"Live leaderboard snapshot"}
moonshot_exploit_development_suite
Moonshot Exploit Development Suite
Cyber
% tasks solved
36
https://github.com/MoonshotAI/Kimi-K3/blob/main/k3_tech_report.pdf
{"higher_is_better":true,"metric_type":"task_solve_rate_pct","multimodal_input":false,"notes":"16 user-space CVE exploitation tasks and 20 historical Linux-kernel CVE tasks in QEMU; human-verified solvable.","range":[0,100],"version":"Kimi K3 report 36-task in-house exploit suite"}
exploitbench
ExploitBench
Cyber
% capability success
41
https://arxiv.org/abs/2605.14153
{"higher_is_better":true,"metric_type":"capability_ladder_success_pct","multimodal_input":false,"notes":"Public 41-vulnerability exploitation benchmark with deterministically verified capability ladders.","range":[0,100],"version":"ExploitBench V8 41-task corpus (2026)"}
dsbench_fullstack
DSBench-FullStack
Agentic Coding
score (%)
null
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"DeepSeek internal full-stack development test set. The official model card does not report its task count.","range":[0,100],"version":"DeepSeek internal DSBench-FullStack; version unspecified"}
dsbench_hard
DSBench-Hard
Agentic Coding
score (%)
null
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"DeepSeek internal test set of difficult coding-agent problems. The official model card does not report its task count.","range":[0,100],"version":"DeepSeek internal DSBench-Hard; version unspecified"}
hle_tools_text
HLE Text (w/ tools)
Reasoning & Knowledge
accuracy (%)
2,158
https://z.ai/blog/glm-5.2
{"higher_is_better":true,"judge":"answer-key scoring for closed-ended answers","metric_type":"pct","multimodal_input":false,"notes":"GLM-5.2 explicitly marks unstarred HLE-with-tools values as text-only and starred values as the full text+image set. Text-only and full-set scores are distinct benchmark identities.","ran...
swe_marathon_v1_0
SWE-Marathon v1.0
Agentic Coding
% resolved (pass@1)
20
https://github.com/abundant-ai/swe-marathon/releases/tag/v1.0
{"higher_is_better":true,"metric_type":"pass_at_1_pct","multimodal_input":false,"notes":"Official v1.0 evaluates 20 ultra-long-horizon tasks with five trials per agent-model-task pair. It predates and is distinct from the July v1.1/H20-calibrated snapshot already stored in BP.","range":[0,100],"sampling":"trials=5; rep...
hy_backend_2_0
Hy-Backend 2.0 (Internal)
Agentic Coding
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal backend benchmark; public item count and metric definition are not published.","range":[0,100],"sampling":"pass@1","tools":"Claude Code; GPT-5.5 uses CodeX","version":"Hy-Backend 2.0 (Internal)"}
hy_swe_max
Hy-SWE Max (Internal)
Agentic Coding
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal software-engineering benchmark; public item count and metric definition are not published.","range":[0,100],"sampling":"pass@1","tools":"Claude Code; GPT-5.5 uses CodeX","version":"Hy-SWE Max (Internal)"}
hy_company_bench
Hy-CompanyBench (Internal)
Agentic Coding
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal company-task benchmark; public item count and metric definition are not published.","range":[0,100],"sampling":"pass@1","tools":"Claude Code; GPT-5.5 uses CodeX","version":"Hy-CompanyBench (Internal)"}
wildclaw_bench_35_text
WildClawBench (35, text-only)
Agentic
reported score (%)
35
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official Hy3 footnote defines the text-only 35-query subset.","range":[0,100],"sampling":"pass@1","tools":"OpenClaw harness","version":"WildClawBench (35, text-only)"}
skills_bench_text_79
SkillsBench (79, text-only)
Agentic
reported score (%)
79
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Self-contained 79-task subset; multimodal tasks excluded.","range":[0,100],"sampling":"average over 3 runs","tools":"Claude Code","version":"SkillsBench (79, text-only)"}
e_bench_internal
e-bench (Internal)
Agentic
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal working-agent benchmark; public item count and protocol are not published.","range":[0,100],"sampling":"pass@1","tools":"benchmark-specific agent tools","version":"e-bench (Internal)"}
hy_finmodel_bench
Hy-FinModelBench (Internal)
Agentic
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal financial-modeling benchmark; public item count and protocol are not published.","range":[0,100],"sampling":"pass@1","tools":"benchmark-specific agent tools","version":"Hy-FinModelBench (Internal)"}
prod_bench_internal
ProdBench (Internal, pass^3)
Agentic
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal productivity benchmark evaluated with OpenClaw; public item count is not published.","range":[0,100],"sampling":"pass^3","tools":"OpenClaw harness","version":"ProdBench (Internal, pass^3)"}
hy_skillsworld
Hy-SkillsWorld (Internal)
Agentic
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal skills benchmark; public item count and protocol are not published.","range":[0,100],"sampling":"pass@1","tools":"benchmark-specific agent tools","version":"Hy-SkillsWorld (Internal)"}
hy_euler_pro
Hy-Euler Pro (Internal, tools)
Reasoning & Knowledge
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal STEM-agent benchmark; public item count and metric definition are not published.","range":[0,100],"sampling":"pass@1","tools":"benchmark-specific tools","version":"Hy-Euler Pro (Internal, tools)"}
horizon_math_pass12
HorizonMath (pass@12)
Reasoning & Knowledge
reported score (%)
113
https://github.com/ewang26/HorizonMath
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official HorizonMath repository defines 113 automatically verified research problems across eight domains.","range":[0,100],"sampling":"pass@12","tools":"none","version":"HorizonMath (pass@12)"}
hy_math_internal
Hy-Math (Internal)
Reasoning & Knowledge
reported score (%)
null
https://huggingface.co/tencent/Hy3
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Tencent internal mathematics benchmark; public item count and protocol are not published.","range":[0,100],"sampling":"pass@1","tools":"none","version":"Hy-Math (Internal)"}
cmt_benchmark
CMT-Benchmark
Reasoning & Knowledge
reported score (%)
50
https://github.com/JamesRoggeveen/cmt_benchmark_data
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official CMT-Benchmark paper/repository defines 50 expert-authored condensed-matter problems.","range":[0,100],"sampling":"pass@1","tools":"none","version":"CMT-Benchmark"}
cl_bench_life
CL-Bench Life
Long Context
reported score (%)
405
https://huggingface.co/datasets/tencent/CL-bench-Life
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official Tencent dataset defines 405 context-task pairs and 5,348 evaluation rubrics.","range":[0,100],"sampling":"pass@1","tools":"none","version":"CL-Bench Life"}
forte_avg3
FORTE (Avg@3)
Agents
Avg@3 (%)
180
https://github.com/AGI-Eval-Official/FORTE
{"harness":"OpenClaw in Docker","higher_is_better":true,"judge":"LLM-as-judge over expert rubrics; all-or-nothing per run","metric_type":"pct","multimodal_input":true,"notes":"Official README declares 180 full tasks across 15 professions. The official leaderboard JSON values appear arithmetically compatible with a 183-...
rwsearch
RWSearch
Agents
publisher Score (0-100)
200
https://github.com/AGI-Eval-Official/RW-Search
{"context_management":"none","higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official repository defines 200 Chinese real-world search questions with unique objective answers. The publisher labels the metric only as Score and does not disclose the full matcher or aggregation.","range":[0,1...
advancedif
AdvancedIF
Instruction Following
overall pass rate (%)
1,645
https://arxiv.org/abs/2511.10507
{"higher_is_better":true,"judge":"LLM-as-judge; public evaluator default o3-mini-2025-01-31","metric_type":"pct","multimodal_input":false,"notes":"1,645 expert-rubric prompts across system steerability, carried context, and complex instruction following. Canonical score is the percentage of samples where all rubrics pa...
xlrs_bench_micro
XLRS-Bench (micro)
Vision STEM
micro-average (%)
45,942
https://arxiv.org/abs/2503.23771
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Full ultra-high-resolution remote-sensing benchmark with 45,942 annotations across 16 tasks. The official full-benchmark Avg. is a micro average; XLRS-Bench-lite uses a macro average.","range":[0,100],"sampling":"pass@1","tools":"none","versi...
microvqa
MicroVQA
Vision STEM
mean accuracy (%)
1,042
https://arxiv.org/abs/2503.13399
{"higher_is_better":true,"judge":"rule-based multiple-choice accuracy","metric_type":"pct","multimodal_input":true,"notes":"1,042 expert-curated microscopy multiple-choice questions covering perception, hypothesis generation, and experiment proposal.","range":[0,100],"sampling":"pass@1","tools":"none","version":"MicroV...
sgi_bench
SGI-Bench
Scientific Agents
SGI-Score
null
https://arxiv.org/abs/2512.16969
{"harness":"official SGI-Bench agentic evaluation","higher_is_better":true,"judge":"task-specific official metrics aggregated into SGI-Score","metric_type":"pct","multimodal_input":true,"notes":"Scientist-aligned full inquiry-cycle suite spanning 10 disciplines and more than 1,000 gated expert-curated samples. The publ...
researchclawbench
ResearchClawBench
Scientific Agents
weighted rubric score (%)
40
https://arxiv.org/abs/2606.07591
{"harness":"ResearchHarness","higher_is_better":true,"judge":"weighted task-specific rubrics","metric_type":"pct","multimodal_input":true,"notes":"40 real-science research tasks across 10 domains.","range":[0,100],"tools":"scientific research environment","version":"ResearchClawBench core"}
gdpval_normalized_elo
GDPVal (normalized Elo)
Economic
normalized Elo (0-100)
220
https://huggingface.co/datasets/openai/gdpval
{"higher_is_better":true,"judge":"Gemini 3.1 Pro rubric judge","metric_type":"index","multimodal_input":false,"notes":"Distinct from raw GDPVal Artificial Analysis Elo. NVIDIA reports normalized=(Elo-500)/2000 on a 0-100 display scale.","range":[0,100],"sampling":"pass@1","tools":"office workflow, web search, sandboxed...
profbench
ProfBench (Search)
Search Agent
search score
40
https://github.com/NVlabs/ProfBench
{"higher_is_better":true,"judge":"rubric-based criterion grading","metric_type":"pct","multimodal_input":false,"notes":"Professional-domain rubric tasks with search and browsing.","range":[0,100],"sampling":"16-run average","tools":"web search and browsing","version":"ProfBench full 40-task release"}
pinchbench
PinchBench
Agentic
% passed
53
https://github.com/pinchbench/skill
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Open public subset evaluated in the OpenClaw environment.","range":[0,100],"sampling":"pass@1","tools":"OpenClaw coding environment","version":"PinchBench public 53-task release"}
tau3_airline
tau3-bench Airline
Tool Use
% passed (8-trial average)
400
https://github.com/sierra-research/tau2-bench
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"50 tasks x 8 trials; extra simulator prompt and GPT-5.2-low simulator.","range":[0,100],"sampling":"50 tasks x 8 trials","tools":"domain customer-service tools","version":"tau3 airline domain"}
tau3_retail
tau3-bench Retail
Tool Use
% passed (8-trial average)
912
https://github.com/sierra-research/tau2-bench
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"114 tasks x 8 trials; extra simulator prompt and GPT-5.2-low simulator.","range":[0,100],"sampling":"114 tasks x 8 trials","tools":"domain customer-service tools","version":"tau3 retail domain"}
tau3_telecom
tau3-bench Telecom
Tool Use
% passed (8-trial average)
912
https://github.com/sierra-research/tau2-bench
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"114 tasks x 8 trials; extra simulator prompt and GPT-5.2-low simulator.","range":[0,100],"sampling":"114 tasks x 8 trials","tools":"domain customer-service tools","version":"tau3 telecom domain"}
ioi_2025
IOI 2025
Coding
contest points (0-600)
6
https://ioi2025.bo/
{"higher_is_better":true,"metric_type":"score","multimodal_input":false,"notes":"Six official contest problems; score is points, not percent.","range":[0,600],"sampling":"pass@1","tools":"code execution","version":"International Olympiad in Informatics 2025"}
aa_omniscience_accuracy
AA Omniscience Accuracy
Factuality
% correct
60,000
https://artificialanalysis.ai/articles/aa-omniscience-knowledge-hallucination-benchmark
{"higher_is_better":true,"judge":"official answer and abstention classification","metric_type":"pct","multimodal_input":false,"notes":"Count is 6,000 questions x 10 repeats. Accuracy=c/(c+p+i+a).","range":[0,100],"sampling":"10-run average","tools":"none","version":"AA-Omniscience 6,000-question benchmark"}
aa_omniscience_non_hallucination
AA Omniscience Non-Hallucination
Hallucination
% non-hallucination
60,000
https://artificialanalysis.ai/articles/aa-omniscience-knowledge-hallucination-benchmark
{"higher_is_better":true,"judge":"official answer and abstention classification","metric_type":"pct","multimodal_input":false,"notes":"Count is 6,000 questions x 10 repeats. Non-hallucination=100-i/(p+i+a).","range":[0,100],"sampling":"10-run average","tools":"none","version":"AA-Omniscience 6,000-question benchmark"}
ruler_1m
RULER 1M
Long Context
%
null
https://github.com/NVIDIA/RULER
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official RULER aggregate at the exact 1M context length.","range":[0,100],"sampling":"pass@1","tools":"none","version":"RULER at 1M tokens"}
wmt24pp
WMT24++
Multilingual
XCOMET-XXL
54,890
https://huggingface.co/datasets/google/wmt24pp
{"higher_is_better":true,"judge":"XCOMET-XXL","metric_type":"pct","multimodal_input":false,"notes":"998 English paragraphs x 55 target languages = 54,890 translations.","range":[0,100],"sampling":"54,890 translations","tools":"none","version":"WMT24++ English-to-55-language evaluation"}
agieval_en
AGIEval English
Reasoning & Knowledge
% exact match
null
https://github.com/microsoft/AGIEval
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"English tasks evaluated with benchmark-specific 3-shot or 5-shot CoT.","range":[0,100],"sampling":"pass@1","tools":"none","version":"AGIEval English aggregate"}
math_test
MATH Test
Math
% exact match
5,000
https://github.com/hendrycks/math
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Minerva 4-shot exact-match setting; distinct from full 12,500-example MATH.","range":[0,100],"sampling":"pass@1","tools":"none","version":"MATH test split (5,000 problems)"}