Vibeleaderboard
← Benchmark guide

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.

← All evaluation groups

GPQA Diamond

Source
Epoch AI Benchmarking Hub
Version
Not reported
Measurement date
Not reported
Metric
% · Higher is better
Evaluation scope
Epoch AI run · task v1 · effort max · 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

    95.8%

  2. #2Claude Sonnet 5.5

    anthropic/claude-sonnet-5-5

    95.6%

  3. #3GPT-6.1 Sol

    openai/gpt-6.1-sol-20260929

    95.4%

  4. #4GPT-6 Sol

    openai/gpt-6-sol-20260922

    94.3%

  5. #5Claude Opus 5

    anthropic/claude-opus-5

    93.9%

  6. #6GPT-5.6 Sol

    openai/gpt-5.6-sol-20260709

    93.5%

  7. #7GPT-5.6 Terra

    openai/gpt-5.6-terra-20260709

    93.3%

  8. #8Kimi K3

    moonshotai/kimi-k3-20260715

    93.1%

  9. #9GLM 5.2

    z-ai/glm-5.2-20260616

    91.9%

  10. #10DeepSeek V4 Pro 0813

    deepseek/deepseek-v4-pro-20260813

    91.7%

  11. #11GPT-5.6 Luna

    openai/gpt-5.6-luna-20260709

    91.6%

  12. #12Claude Opus 4.8

    anthropic/claude-opus-4-8

    91%

  13. #12DeepSeek V4 Flash 0731

    deepseek/deepseek-v4-flash-20260731

    91%

  14. #14GLM 5.3

    z-ai/glm-5.3-20260816

    90.9%

  15. #15Claude Opus 5.5

    anthropic/claude-opus-5-5

    90.6%

  16. #16GPT-6 Luna

    openai/gpt-6-luna-20260922

    90.5%

  17. #17GLM 5.3 Flash

    z-ai/glm-5.3-flash-20260826

    90.2%

  18. #18DeepSeek V4.1 Flash

    deepseek/deepseek-v4.1-flash-20260910

    89.8%

  19. #19Claude Haiku 5.5

    anthropic/claude-haiku-5-5

    89.6%

  20. #19DeepSeek V4 Pro 0423

    deepseek/deepseek-v4-pro-20260423

    89.6%

  21. #21Claude Opus 4.6

    anthropic/claude-opus-4-6

    88.4%

  22. #22Claude Opus 4.7

    anthropic/claude-opus-4-7

    86.4%

  23. #23Claude Fable 5

    anthropic/claude-fable-5

    85.9%

  24. #24Claude Sonnet 5

    anthropic/claude-sonnet-5

    80.3%

  25. #25Claude Sonnet 4.6

    anthropic/claude-sonnet-4-6

    78.8%

GPQA Diamond model results | VibeLeaderboard