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Model results

GPQA Diamond

Choose a shared evaluation protocol to compare model scores. Versions, sources and configurations stay separate.

Atlas snapshot captured 10/19/2026, 10:20:28 AM UTC. This is an import timestamp, not the evaluation date. Coverage may be incomplete.

Reviewed recommendation and limits

Use as a compact reference for expert-written science questions, alongside evidence that matches the scientific work you intend to do.

Original GPQA Diamond subset. Preserve prompt, answer extraction, tools, sampling and aggregation. Keep main, extended and third-party corrected subsets separate.. Imported groups below may use different protocols; this review does not certify each run. The static 198-question subset has limited statistical power and exposure risk. Its expert filtering does not make it representative of scientific practice. A Google-proof collection process does not prove present-day contamination resistance.

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GPQA

Source
Artificial Analysis
Version
Not reported
Measurement date
Not reported
Metric
% · Higher is better
Evaluation scope
Graduate-level science questions; observed 2026-10-19; result date not supplied

Exact score ties share a position. Positions do not establish statistical significance. Missing metadata is shown as unreported; matching imported metadata is not independent verification of the protocol.

  1. #1GPT-6 Astra

    openai/gpt-6-astra-20260903

    96.1%

  2. #2Gemini 3.8 Flash

    google/gemini-3.8-flash-20260902

    95.3%

  3. #3Grok 4.6

    x-ai/grok-4.6-20260810

    94.9%

  4. #4Gemini 3.7 Flash

    google/gemini-3.7-flash-20260813

    94.5%

  5. #5GPT-5.6 Sol

    openai/gpt-5.6-sol-20260709

    94.1%

  6. #6Claude Fable 5.1

    anthropic/claude-fable-5-1

    93.7%

  7. #7Kimi K3

    moonshotai/kimi-k3-20260715

    93.5%

  8. #7Muse Spark 1.3

    meta/muse-spark-1.3-20260902

    93.5%

  9. #9Claude Opus 5

    anthropic/claude-opus-5

    93.2%

  10. #10MiniMax M3

    minimax/minimax-m3-20260531

    92.9%

  11. #11DeepSeek V4 Pro 0813

    deepseek/deepseek-v4-pro-20260813

    92.8%

  12. #11Qwen3.8 Max (0902)

    qwen/qwen3.8-max-20260902

    92.8%

  13. #13Claude Fable 5

    anthropic/claude-fable-5

    92.6%

  14. #14GPT-5.6 Terra

    openai/gpt-5.6-terra-20260709

    92.5%

  15. #15GLM 5.3

    z-ai/glm-5.3-20260816

    91.7%

  16. #16GLM 5.3 Flash

    z-ai/glm-5.3-flash-20260826

    91.2%

  17. #17GPT-5.6 Luna

    openai/gpt-5.6-luna-20260709

    91.1%

  18. #18Qwen3.8 27B

    qwen/qwen3.8-27b-20260814

    90.5%

  19. #19Muse Spark 1.2

    meta/muse-spark-1.2-20260805

    90.4%

  20. #20Hy3

    tencent/hy3-20260706

    89.7%

  21. #20Hy3 preview

    tencent/hy3-preview-20260421

    89.7%

  22. #22Muse Spark Open

    meta/muse-spark-open-20261015

    89%

  23. #23Inkling

    thinkingmachines/inkling-20260715

    87.2%

  24. #24Nemotron 3 Ultra

    nvidia/nemotron-3-ultra-550b-a55b-20260604

    86.7%

  25. #25MiMo-V2.5-Pro

    xiaomi/mimo-v2.5-pro-20260422

    86.6%

  26. #26MiMo-V2.5

    xiaomi/mimo-v2.5-20260422

    84.9%

  27. #27Gemini 3.5 Flash Lite

    google/gemini-3.5-flash-lite-20260721

    83.8%

  28. #28gpt-oss-120b

    openai/gpt-oss-120b

    78.2%

  29. #29Command A

    cohere/command-a-03-2025

    76.1%

  30. #29Command A+

    cohere/command-a-plus-05-2026

    76.1%

  31. #31Mistral Medium 3

    mistralai/mistral-medium-3

    74.8%

  32. #31Mistral Medium 3.1

    mistralai/mistral-medium-3.1

    74.8%

  33. #31Mistral Medium 3.5

    mistralai/mistral-medium-3.5-20260430

    74.8%

  34. #34Nemotron 3.5 Lightning

    nvidia/nemotron-3.5-lightning-20260807

    74.3%

  35. #35MiMo-V2-Flash

    xiaomi/mimo-v2-flash

    65.6%

  36. #36Phi 4

    microsoft/phi-4

    57.5%

GPQA Diamond model results | VibeLeaderboard