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https://eebench.org/src/leaderboard-data.js?v=23

js eebench.org collected 2026-10-04 02:15:55 UTC 26,432 bytes, 1,260 lines download raw bytes

1// GENERATED by scripts/build_leaderboard.py — do not hand-edit.
2// Update: rerun the script against the internal run tree, review the
3// results/leaderboard-2026-09-29.json diff, commit both files together.
4window.EEBENCH_LEADERBOARD = {
5  "generated_at": "2026-09-29",
6  "version": "V1",
7  "corpus": "eebench-v1-core",
8  "questions": 13,
9  "reasoning_policy": "Reasoning configuration is selected per model.",
10  "note": "Generated by scripts/build_leaderboard.py \u2014 do not hand-edit.",
11  "models": [
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21        97.3,
22        100.0,
23        100.0,
24        100.0,
25        100.0,
26        100.0
27      ],
28      "stderr_pct": 8.3,
29      "name": "Claude Opus 5.5",
30      "provider": "Anthropic",
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32      "scaffold": "Claude Code",
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825      "provider": "OpenAI",
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850        16.3,
851        17.7,
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858      "stderr_pct": 8.5,
859      "name": "GPT-5.6 Terra",
860      "provider": "OpenAI",
861      "icon": "openai",
862      "scaffold": "API tools",
863      "score_pct": 30.8,
864      "questions_scored": 13,
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878        0.0,
879        0.0,
880        0.0,
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884        16.3,
885        18.1,
886        19.5,
887        90.9,
888        94.2
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891      "name": "Claude Sonnet 4.6",
892      "provider": "Anthropic",
893      "icon": "anthropic",
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920        74.0
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924      "provider": "Google",
925      "icon": "google",
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952        94.1
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956      "provider": "OpenAI",
957      "icon": "openai",
958      "scaffold": "API tools",
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978        9.5,
979        14.6,
980        16.2,
981        21.7,
982        25.0,
983        50.1,
984        82.4
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987      "name": "Grok Build 0.1",
988      "provider": "xAI",
989      "icon": "xai",
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1006        4.1,
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1009        8.2,
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1011        14.0,
1012        19.6,
1013        29.3,
1014        30.7,
1015        33.8,
1016        58.7
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1020      "provider": "Z.ai",
1021      "icon": "glm",
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1038        0.0,
1039        0.0,
1040        0.0,
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1043        6.2,
1044        7.9,
1045        13.0,
1046        18.1,
1047        23.1,
1048        50.4,
1049        60.8
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1076        8.3,
1077        11.8,
1078        29.4,
1079        31.8,
1080        33.6,
1081        35.4
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1086      "icon": "kimi",
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1103        0.0,
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1108        11.3,
1109        13.3,
1110        18.1,
1111        24.9,
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1259  ]
1260};

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.