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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 Diamond

Source
Epoch AI Benchmarking Hub
Version
Not reported
Measurement date
Not reported
Metric
% · Higher is better
Evaluation scope
Epoch AI run · task v1 · 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. #1Gemini 3.1 Pro Preview

    google/gemini-3.1-pro-preview-20260219

    94.1%

  2. #2Claude Opus 5

    anthropic/claude-opus-5

    92.9%

  3. #3MiniMax M3

    minimax/minimax-m3-20260531

    90.9%

  4. #3Qwen3.7 Max

    qwen/qwen3.7-max-20260520

    90.9%

  5. #5Kimi K2.6

    moonshotai/kimi-k2.6-20260420

    90.8%

  6. #6GLM 5.1

    z-ai/glm-5.1-20260406

    89.9%

  7. #7Qwen3.6 Plus

    qwen/qwen3.6-plus-04-02

    88.4%

  8. #8Kimi K2.7 Code

    moonshotai/kimi-k2.7-code-20260612

    87.9%

  9. #8Qwen3.7 Plus

    qwen/qwen3.7-plus-20260602

    87.9%

  10. #10GLM 5

    z-ai/glm-5-20260211

    87.8%

  11. #11Qwen3.6 Max Preview

    qwen/qwen3.6-max-preview-20260420

    87.4%

  12. #12Qwen3.5 397B A17B

    qwen/qwen3.5-397b-a17b-20260216

    85.9%

  13. #12Qwen3.6 27B

    qwen/qwen3.6-27b-20260422

    85.9%

  14. #14Nemotron 3 Ultra

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

    85.4%

  15. #15Gemini 2.5 Pro

    google/gemini-2.5-pro

    85.3%

  16. #16Gemini 2.5 Pro Preview 06-05

    google/gemini-2.5-pro-preview-06-05

    84.8%

  17. #17Qwen3.6 35B A3B

    qwen/qwen3.6-35b-a3b-20260415

    83.8%

  18. #18Qwen3.5-35B-A3B

    qwen/qwen3.5-35b-a3b-20260224

    83.5%

  19. #19GLM 4.7

    z-ai/glm-4.7-20251222

    83.3%

  20. #19Qwen3.6 Flash

    qwen/qwen3.6-flash

    83.3%

  21. #21Gemini 3 Flash Preview

    google/gemini-3-flash-preview-20251217

    83.2%

  22. #22Qwen3.5-Flash

    qwen/qwen3.5-flash-20260224

    82.3%

  23. #22Qwen3.7 Flash

    qwen/qwen3.7-flash-20260727

    82.3%

  24. #24Claude Opus 4.5

    anthropic/claude-opus-4-5

    80.7%

  25. #25Qwen3 235B A22B Thinking 2507

    qwen/qwen3-235b-a22b-thinking-2507

    80.1%

  26. #26Qwen3.5-9B

    qwen/qwen3.5-9b-20260310

    79%

  27. #27R1 0528

    deepseek/deepseek-r1-0528

    76.3%

  28. #28Claude Sonnet 4.5

    anthropic/claude-sonnet-4-5

    73.7%

  29. #29Claude Opus 4.1

    anthropic/claude-opus-4-1

    73.2%

  30. #30Qwen3 Max

    qwen/qwen3-max

    72.6%

  31. #31R1

    deepseek/deepseek-r1

    71.7%

  32. #32Qwen3 235B A22B

    qwen/qwen3-235b-a22b-04-28

    70.7%

  33. #33Qwen3 30B A3B Thinking 2507

    qwen/qwen3-30b-a3b-thinking-2507

    70.1%

  34. #34Claude Opus 4

    anthropic/claude-opus-4

    69.2%

  35. #35DeepSeek V3 0324

    deepseek/deepseek-chat-v3-0324

    67.6%

  36. #36GPT-4.1

    openai/gpt-4.1-2025-04-14

    66.9%

  37. #37Claude Sonnet 4

    anthropic/claude-sonnet-4

    66.7%

  38. #37Gemini 2.5 Pro Preview 05-06

    google/gemini-2.5-pro-preview-03-25

    66.7%

  39. #39GPT-4.1 Mini

    openai/gpt-4.1-mini-2025-04-14

    65.8%

  40. #40Qwen3 32B

    qwen/qwen3-32b-04-28

    65.7%

  41. #41Qwen3 14B

    qwen/qwen3-14b-04-28

    63.8%

  42. #42Qwen3 30B A3B

    qwen/qwen3-30b-a3b-04-28

    61.7%

  43. #43Claude Haiku 4.5

    anthropic/claude-haiku-4-5

    60.5%

  44. #43GLM 4.7 Flash

    z-ai/glm-4.7-flash-20260119

    60.5%

  45. #45Qwen3 8B

    qwen/qwen3-8b-04-28

    56.8%

  46. #46DeepSeek V3

    deepseek/deepseek-chat-v3

    56.5%

  47. #47Phi 4

    microsoft/phi-4

    56.1%

  48. #48R1 Distill Llama 70B

    deepseek/deepseek-r1-distill-llama-70b

    55.7%

  49. #49Qwen3 30B A3B Instruct 2507

    qwen/qwen3-30b-a3b-instruct-2507

    55.6%

  50. #50Llama 4 Scout

    meta/llama-4-scout-17b-16e-instruct

    51.8%

  51. #51GPT-4o (2024-08-06)

    openai/gpt-4o-2024-08-06

    49.2%

  52. #52Qwen2.5 72B Instruct

    qwen/qwen-2.5-72b-instruct

    49.1%

  53. #53Mistral Large 2407

    mistralai/mistral-large-2407

    49%

  54. #54GPT-4.1 Nano

    openai/gpt-4.1-nano-2025-04-14

    48.9%

  55. #54GPT-4o (2024-05-13)

    openai/gpt-4o-2024-05-13

    48.9%

  56. #56Qwen-Plus

    qwen/qwen-plus-2025-01-25

    48.1%

  57. #57GPT-4o (2024-11-20)

    openai/gpt-4o-2024-11-20

    47.9%

  58. #58Gemma 3 27B

    google/gemma-3-27b-it

    47.7%

  59. #59Llama 3.3 70B Instruct

    meta/llama-3.3-70b-instruct

    47.4%

  60. #60Llama 3.1 70B Instruct

    meta/llama-3.1-70b-instruct

    44.2%

  61. #61WizardLM-2 8x22B

    microsoft/wizardlm-2-8x22b

    43.4%

  62. #62Gemma 3 12B

    google/gemma-3-12b-it

    39.5%

  63. #63GPT-4o-mini (2024-07-18)

    openai/gpt-4o-mini-2024-07-18

    37.7%

  64. #64Gemma 2 27B

    google/gemma-2-27b-it

    36.5%

  65. #65Claude 3 Haiku

    anthropic/claude-3-haiku

    36.3%

  66. #66Qwen2.5 7B Instruct

    qwen/qwen-2.5-7b-instruct

    35.5%

  67. #67Granite 4.0 Micro

    ibm-granite/granite-4.0-h-micro

    28.3%

  68. #68Llama 3.1 8B Instruct

    meta/llama-3.1-8b-instruct

    27%

  69. #69Llama 3.2 1B Instruct

    meta/llama-3.2-1b-instruct

    23.9%

  70. #70Gemma 3 4B

    google/gemma-3-4b-it

    23.2%

GPQA Diamond model results | VibeLeaderboard