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{
  "repo_id": "yzeng58/benchpress-score-matrix",
  "generated_at_utc": "2026-05-07T04:54:26.048511+00:00",
  "source_git_commit": "5be3b4eddf0188721ff25f00713b589b2cbed8e0",
  "source_git_branch": "yz",
  "source_data_file": "benchpress/data/llm_benchmark_data.json",
  "source_data_dirty": false,
  "n_models_all": 189,
  "n_benchmarks_all": 316,
  "n_scores_all": 4903,
  "paper_matrix": {
    "m_threshold": 15,
    "b_threshold": 8,
    "iterations": 5,
    "n_models": 84,
    "n_benchmarks": 133,
    "n_observations": 2604,
    "fill_rate": 0.23308270676691728,
    "dropped_models": [
      "amazon-nova-premier",
      "amazon-nova-pro",
      "claude-3-haiku",
      "claude-3-opus",
      "claude-3-sonnet",
      "claude-3.5-haiku",
      "claude-mythos",
      "claude-sonnet-3.7",
      "codestral-22b",
      "command-r7b",
      "deepseek-3.1",
      "deepseek-r1-distill-llama-8b",
      "deepseek-r1-distill-qwen-1.5b",
      "deepseek-r1-distill-qwen-14b",
      "deepseek-r1-distill-qwen-32b",
      "deepseek-r1-distill-qwen-7b",
      "deepseek-v3-0324",
      "devstral-2",
      "exaone-4.0-32b",
      "exaone-deep-32b",
      "falcon3-10b",
      "gemini-1.5-flash-8b",
      "gemini-2.0-flash-lite",
      "gemini-2.0-pro",
      "gemini-diffusion",
      "gemma-2-2b",
      "gemma-3-12b",
      "gemma-3-4b",
      "gemma-3n-e2b-instructed",
      "gemma-3n-e2b-instructed-litert-preview",
      "gemma-3n-e4b-instructed",
      "gemma-3n-e4b-instructed-litert-preview",
      "gemma-4-26b-a4b",
      "gemma-4-31b",
      "gemma-4-e2b",
      "gemma-4-e4b",
      "gpt-4-turbo",
      "gpt-5.2-codex",
      "gpt-5.3-codex",
      "gpt-oss-20b",
      "granite-3.3-8b-instruct",
      "granite-4.0-1b",
      "granite-4.0-h-1b",
      "grok-1.5",
      "grok-2",
      "grok-2-mini",
      "grok-4.20",
      "ibm-granite-4.0-tiny-preview",
      "internlm3-8b",
      "lfm2.5-1.2b-instruct",
      "llama-3.1-70b",
      "llama-4-behemoth",
      "llama-4-scout",
      "longcat-flash-chat",
      "minicpm-sala",
      "minimax-m2.5",
      "minimax-m2.7",
      "mistral-large-2",
      "mistral-large-3",
      "mistral-medium-3",
      "mistral-small-24b",
      "mistral-small-3-24b-instruct",
      "mistral-small-3.1",
      "nemotron-ultra-253b",
      "nova-lite",
      "nova-micro",
      "o1-mini",
      "olmo-1b",
      "olmo-2-13b",
      "olmo-2-1b",
      "olmo-2-32b",
      "olmo-2-7b",
      "olmo-7b-0424",
      "openthinker2-32b",
      "phi-3-14b",
      "phi-3.5-mini-instruct",
      "phi-3.5-moe-instruct",
      "phi-4",
      "phi-4-mini",
      "phi-4-reasoning",
      "phi-4-reasoning-plus",
      "pixtral-12b",
      "qwen-2.5-1.5b",
      "qwen2-72b-instruct",
      "qwen2-7b-instruct",
      "qwen2.5-coder-32b-instruct",
      "qwen2.5-coder-7b-instruct",
      "qwen2.5-omni-7b",
      "qwen2.5-vl-32b-instruct",
      "qwen3-0.6b",
      "qwen3-1.7b",
      "qwen3-14b",
      "qwen3-4b",
      "sarvam-30b",
      "seed-thinking-v1.5",
      "smollm2-1.7b",
      "tulu-3-8b"
    ],
    "dropped_benchmarks": [
      "aethercode",
      "agentcompany",
      "ai2d",
      "aider_polyglot",
      "ainstein_bench",
      "all_angles",
      "apex_agents",
      "arc_challenge",
      "arcagi1_image",
      "arcagi2_image",
      "babe",
      "bfcl_v3_multiturn",
      "bfcl_v4",
      "bigbench_extra_hard",
      "biobench",
      "bixbench",
      "blink",
      "browsecomp_cm",
      "browsecomp_long_context_256k",
      "cgbench",
      "chartqa",
      "chartqapro",
      "cl_bench",
      "claw_eval_pass3",
      "cmmlu",
      "codesimpleqa",
      "contphy",
      "corpusqa_1m",
      "countbench",
      "covost2",
      "creative_writing_v3",
      "crossvid",
      "ctf_internal",
      "cybench",
      "cybersecurity_ctf",
      "da_2k",
      "deepconsult",
      "deepresearchbench",
      "deepsearchqa_f1",
      "der2_bench",
      "disco_x",
      "docvqa",
      "dude",
      "dynamath",
      "egoschema",
      "egotempo",
      "emma",
      "encyclo_k",
      "eq_bench3",
      "expert_swe",
      "facts_benchmark",
      "finsearchcomp",
      "finsearchcompt23",
      "flenqa_3k",
      "fleurs",
      "frontier_science_research",
      "frontiersci_olympiad",
      "frontiersci_research",
      "fsc_147",
      "gdpval_diamond",
      "gdpval_oai_woe",
      "genebench",
      "graphwalks_bfs_128k_plus",
      "graphwalks_bfs_256k_1m",
      "graphwalks_parents_128k_plus",
      "graphwalks_parents_256k_1m",
      "hallusionbench",
      "healthbench_consensus",
      "hellaswag",
      "hiddenmath",
      "hipho",
      "hle_verified",
      "hle_vl",
      "humaneval_plus",
      "ib_modeling",
      "imo_2025",
      "infovqa",
      "inverse_ifeval",
      "korbench",
      "livesports_3k",
      "loft_128k",
      "logicvista",
      "longdocurl",
      "longform_writing",
      "longvideobench",
      "lpfqa",
      "lvbench",
      "mars_bench",
      "mathcanvas",
      "mathkangaroo",
      "mathvista_mini",
      "medxpertqa_mm",
      "medxpertqa_text",
      "minedojo_verified",
      "minerva",
      "mm_browsecomp",
      "mme_cc",
      "mmlongbench",
      "mmlongbench_doc",
      "mmsibench_circular",
      "mmstar",
      "mmvu",
      "morse_500",
      "motionbench",
      "mrcr_v2_2needle_1m",
      "mrcr_v2_2needle_256k",
      "mt_bench_101",
      "mtvqa",
      "muirbench",
      "multilingual_mmlu",
      "nl2repo_pass1",
      "ntrex",
      "ocrbench",
      "ocrbench_v2",
      "odvbench",
      "officeqa",
      "officeqa_pro",
      "omnimath",
      "ovbench",
      "ovobench",
      "paperbench",
      "phibench",
      "phybench",
      "phyx_openended",
      "point_bench",
      "procbench",
      "realworldqa",
      "refspatialbench",
      "researchrubrics",
      "ruler_128k",
      "ruler_32k",
      "seal_0",
      "sfe",
      "simplevqa",
      "spreadsheetbench_verified",
      "superchem",
      "swe_bench_multimodal",
      "swe_evo",
      "tau_bench_telecom",
      "tempcompass",
      "tob_complex_workflows",
      "tob_compositional_tasks",
      "tob_information_extraction",
      "tob_k12_education",
      "tob_referenceqa",
      "tob_text_classification",
      "tomato",
      "treebench",
      "tvbench",
      "usamo_2026",
      "videoeval_pro",
      "videoholmes",
      "videoreasonbench",
      "videosimpleqa",
      "visfactor",
      "vispeak",
      "visulogic",
      "vitabench",
      "viverbench",
      "vlms_are_biased",
      "vlms_are_blind",
      "vpct",
      "wildbench",
      "world_travel_text",
      "world_travel_vlm",
      "worldvqa",
      "xlrs_macro",
      "xpert_bench",
      "zerobench_main",
      "zerobench_sub",
      "zerobench_tools"
    ],
    "excluded_models": [
      "deepseek-v3.2-speciale",
      "gemma-3-1b",
      "granite-3.3-8b-base",
      "kimi-k2-thinking",
      "lfm2.5-1.2b-thinking",
      "llama-3.2-1b",
      "qwen-2.5-14b"
    ],
    "excluded_benchmarks": [
      "apex_shortlist",
      "codeforces_avg8",
      "codeforces_pass8",
      "global_mmlu_lite",
      "healthbench_hard",
      "livecodebench_pro",
      "livecodebench_v5",
      "livecodebench_v6",
      "mmlu",
      "mmlu_redux",
      "tau1_bench_avg",
      "tau2_bench_avg"
    ],
    "model_canonical_rules": [
      {
        "drop_id": "deepseek-v3.2-speciale",
        "keep_id": "deepseek-v3.2",
        "family": "DeepSeek-V3.2",
        "reason": "same base model; keep the default-effort row because it has broader coverage"
      },
      {
        "drop_id": "kimi-k2-thinking",
        "keep_id": "kimi-k2",
        "family": "Kimi K2",
        "reason": "same base model with a different mode; keep the broader-coverage default row"
      },
      {
        "drop_id": "lfm2.5-1.2b-thinking",
        "keep_id": "lfm2.5-1.2b-instruct",
        "family": "LFM2.5-1.2B",
        "reason": "same base model with a different mode; keep the instruct/non-thinking row"
      },
      {
        "drop_id": "gemma-3-1b",
        "keep_id": "gemma-3-1b-it",
        "family": "Gemma 3 1B",
        "reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
      },
      {
        "drop_id": "granite-3.3-8b-base",
        "keep_id": "granite-3.3-8b-instruct",
        "family": "Granite 3.3 8B",
        "reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
      },
      {
        "drop_id": "llama-3.2-1b",
        "keep_id": "llama-3.2-1b-instruct",
        "family": "Llama 3.2 1B",
        "reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
      },
      {
        "drop_id": "qwen-2.5-14b",
        "keep_id": "qwen-2.5-14b-instruct",
        "family": "Qwen2.5 14B",
        "reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
      }
    ],
    "benchmark_canonical_rules": [
      {
        "drop_id": "codeforces_avg8",
        "keep_id": "codeforces_rating",
        "family": "Codeforces",
        "reason": "same task family; keep Codeforces Rating because it has broader coverage"
      },
      {
        "drop_id": "codeforces_pass8",
        "keep_id": "codeforces_rating",
        "family": "Codeforces",
        "reason": "same task family; keep Codeforces Rating because it has broader coverage"
      },
      {
        "drop_id": "livecodebench_pro",
        "keep_id": "livecodebench",
        "family": "LiveCodeBench",
        "reason": "same benchmark family; keep the standard LiveCodeBench because it has broader coverage"
      },
      {
        "drop_id": "tau1_bench_avg",
        "keep_id": "tau_bench_airline/tau_bench_retail",
        "family": "τ-bench",
        "reason": "composite average of existing domain benchmarks; keep per-domain benchmarks"
      },
      {
        "drop_id": "tau2_bench_avg",
        "keep_id": "tau2_bench_airline/tau2_bench_retail/tau2_bench_telecom",
        "family": "τ²-bench",
        "reason": "composite average of existing domain benchmarks; keep per-domain benchmarks"
      },
      {
        "drop_id": "apex_shortlist",
        "keep_id": "matharena_apex_2025",
        "family": "MathArena Apex",
        "reason": "subset/shortlist variant; keep MathArena Apex 2025 because it has broader coverage"
      },
      {
        "drop_id": "healthbench_hard",
        "keep_id": "healthbench",
        "family": "HealthBench",
        "reason": "hard-subset variant; keep HealthBench because it has broader coverage"
      },
      {
        "drop_id": "mmlu",
        "keep_id": "mmlu_pro",
        "family": "MMLU",
        "reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
      },
      {
        "drop_id": "mmlu_redux",
        "keep_id": "mmlu_pro",
        "family": "MMLU",
        "reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
      },
      {
        "drop_id": "global_mmlu_lite",
        "keep_id": "mmlu_pro",
        "family": "MMLU",
        "reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
      },
      {
        "drop_id": "livecodebench_v5",
        "keep_id": "livecodebench",
        "family": "LiveCodeBench",
        "reason": "same benchmark family; use v5 only to fill missing standard LiveCodeBench cells, marking them non-canonical because the version differs"
      },
      {
        "drop_id": "livecodebench_v6",
        "keep_id": "livecodebench",
        "family": "LiveCodeBench",
        "reason": "same benchmark family; use v6 only to fill missing standard LiveCodeBench cells, marking them non-canonical because the version differs"
      }
    ]
  }
}