Graduate-Level Google-Proof Q&A
A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google.
117 models
Higher is better.
- 1GPT-6 AstraOpenAI96.0
- 2GPT-5.6 SolOpenAI94.6
- 3Claude Opus 4.7 (Adaptive)Anthropic94.2
- 4Claude Mythos 5Anthropic94.1
- 5Claude Opus 4.8Anthropic93.6
- 6GPT-5.5OpenAI93.6
- 7Kimi K3Moonshot AI93.5
- 8GPT-5.6 TerraOpenAI92.9
- 9GPT-5.4OpenAI92.8
- 10Ornith-1.5-397BOrnith AI92.8
- 11Qwen3.8 MaxAlibaba92.6
- 12Qwen3.7 MaxAlibaba92.4
- 13GPT-5.2OpenAI92.4
- 14GPT-5.6 LunaOpenAI92.3
- 15Hy4 previewTencent92.3
- 16Gemini 3.5 FlashGoogle92.2
- 17Qwen3.8-Flash-NextAlibaba91.7
- 18Claude Opus 4.6Anthropic91.3
- 19GLM-5.2Z.AI91.2
- 20Qwen3.8-Omni-FlashAlibaba91.0
- 21DeepSeek V4.1 Flash 1017DeepSeek90.9
- 22Kimi K2.6Moonshot AI90.5
- 23Qwen3.6 PlusAlibaba90.4
- 24Qwen3.7 PlusAlibaba90.3
- 25DeepSeek V4 Pro 0813DeepSeek90.1
- 26Grok 4.3xAI90.1
- 27Claude Sonnet 4.6Anthropic89.9
- 28Interfaze BetaInterfaze89.9
- 29Inkling-SmallThinking Machines Lab89.5
- 30Qwen3.8-27BAlibaba89.2
- 31Ornith-1.5-35B-A3BOrnith AI89.2
- 32Qwen3.5 397BAlibaba88.4
- 33DeepSeek V4 Flash 0731DeepSeek88.1
- 34GPT-5.4 miniOpenAI88.0
- 35InklingThinking Machines Lab87.9
- 36Qwen3.6-27BAlibaba87.8
- 37Kimi K2.5 (Reasoning)Moonshot AI87.6
- 38Kimi K2.5Moonshot AI87.6
- 39Hy3 PreviewTencent87.2
- 40Claude Opus 4.5Anthropic87.0
About this benchmark
- Metric
- Multiple choice questions
- Tasks
- 448 questions
- Authors
- David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman (2023)
Scores are as reported by model developers or evaluators and may use different settings (for example reasoning effort or tools). Compare with care.
All results
| 1 | GPT-6 Astra OpenAI | 96.0 |
| 2 | GPT-5.6 Sol OpenAI | 94.6 |
| 3 | Claude Opus 4.7 (Adaptive) Anthropic | 94.2 |
| 4 | Claude Mythos 5 Anthropic | 94.1 |
| 5 | Claude Opus 4.8 Anthropic | 93.6 |
| 6 | GPT-5.5 OpenAI | 93.6 |
| 7 | Kimi K3 Moonshot AI | 93.5 |
| 8 | GPT-5.6 Terra OpenAI | 92.9 |
| 9 | GPT-5.4 OpenAI | 92.8 |
| 10 | Ornith-1.5-397B Ornith AI | 92.8 |
| 11 | Qwen3.8 Max Alibaba | 92.6 |
| 12 | Qwen3.7 Max Alibaba | 92.4 |
| 13 | GPT-5.2 OpenAI | 92.4 |
| 14 | GPT-5.6 Luna OpenAI | 92.3 |
| 15 | Hy4 preview Tencent | 92.3 |
| 16 | Gemini 3.5 Flash Google | 92.2 |
| 17 | Qwen3.8-Flash-Next Alibaba | 91.7 |
| 18 | Claude Opus 4.6 Anthropic | 91.3 |
| 19 | GLM-5.2 Z.AI | 91.2 |
| 20 | Qwen3.8-Omni-Flash Alibaba | 91.0 |
| 21 | DeepSeek V4.1 Flash 1017 DeepSeek | 90.9 |
| 22 | Kimi K2.6 Moonshot AI | 90.5 |
| 23 | Qwen3.6 Plus Alibaba | 90.4 |
| 24 | Qwen3.7 Plus Alibaba | 90.3 |
| 25 | DeepSeek V4 Pro 0813 DeepSeek | 90.1 |
| 26 | Grok 4.3 xAI | 90.1 |
| 27 | Claude Sonnet 4.6 Anthropic | 89.9 |
| 28 | Interfaze Beta Interfaze | 89.9 |
| 29 | Inkling-Small Thinking Machines Lab | 89.5 |
| 30 | Qwen3.8-27B Alibaba | 89.2 |
| 31 | Ornith-1.5-35B-A3B Ornith AI | 89.2 |
| 32 | Qwen3.5 397B Alibaba | 88.4 |
| 33 | DeepSeek V4 Flash 0731 DeepSeek | 88.1 |
| 34 | GPT-5.4 mini OpenAI | 88.0 |
| 35 | Inkling Thinking Machines Lab | 87.9 |
| 36 | Qwen3.6-27B Alibaba | 87.8 |
| 37 | Kimi K2.5 (Reasoning) Moonshot AI | 87.6 |
| 38 | Kimi K2.5 Moonshot AI | 87.6 |
| 39 | Hy3 Preview Tencent | 87.2 |
| 40 | Claude Opus 4.5 Anthropic | 87.0 |
| 41 | Nemotron 3 Ultra NVIDIA | 87.0 |
| 42 | Qwen3.5-122B-A10B Alibaba | 86.6 |
| 43 | Ornith-1.5-9B Ornith AI | 86.4 |
| 44 | GLM-5 Z.AI | 86.0 |
| 45 | Qwen3.6-35B-A3B Alibaba | 86.0 |
| 46 | Ternary Bonsai 2 27B Prism ML | 85.8 |
| 47 | GLM-4.7 Z.AI | 85.7 |
| 48 | Qwen3.5-27B Alibaba | 85.5 |
| 49 | Ling 3.0 Flash InclusionAI | 85.0 |
| 50 | Gemma 4 31B Google | 84.3 |
| 51 | MAI-Thinking-1 Microsoft | 84.2 |
| 52 | Qwen3.5-35B-A3B Alibaba | 84.2 |
| 53 | MiMo-V2-Flash Xiaomi | 83.7 |
| 54 | Claude Sonnet 4.5 Anthropic | 83.4 |
| 55 | Gemini 2.5 Pro Google | 83.0 |
| 56 | GPT-5.4 nano OpenAI | 82.8 |
| 57 | Gemma 4 26B A4B Google | 82.3 |
| 58 | Grok 3 Mini xAI | 80.3 |
| 59 | DeepSeek V3.1 (Reasoning) DeepSeek | 80.1 |
| 60 | GPT-OSS 120B OpenAI | 80.1 |
| 61 | Nemotron 3 Super 100B NVIDIA | 79.2 |
| 62 | o1-pro OpenAI | 79.0 |
| 63 | Gemma 4 12B Google | 78.8 |
| 64 | Qwen3 235B 2507 Alibaba | 77.5 |
| 65 | o3-mini OpenAI | 77.2 |
| 66 | Nemotron Ultra 253B NVIDIA | 76.0 |
| 67 | o1 OpenAI | 75.7 |
| 68 | Nemotron 3.5 Lightning 30B A3B NVFP4 NVIDIA | 75.6 |
| 69 | Grok 3 [Beta] xAI | 75.4 |
| 70 | GLM-4.7-Flash Z.AI | 75.2 |
| 71 | Kimi K2 Moonshot AI | 75.1 |
| 72 | DeepSeek V3.1 DeepSeek | 74.9 |
| 73 | Claude 4 Opus Anthropic | 74.9 |
| 74 | LFM2.5-24B-A2B Liquid AI | 74.4 |
| 75 | Nemotron 3 Nano 30B NVIDIA | 73.0 |
| 76 | Nemotron 3 Nano Omni 30B A3B NVIDIA | 72.2 |
| 77 | DeepSeek-R1 DeepSeek | 71.5 |
| 78 | GPT-OSS 20B OpenAI | 71.5 |
| 79 | ZAYA1-8B Zyphra | 71.0 |
| 80 | Magistral Medium Mistral | 70.8 |
| 81 | GPT-4.5 OpenAI | 69.5 |
| 82 | Claude 3.7 Sonnet Anthropic | 68.0 |
| 83 | GPT-4.1 OpenAI | 66.3 |
| 84 | Phi-4-reasoning Microsoft | 65.8 |
| 85 | QwQ-32B Alibaba | 65.6 |
| 86 | Gemini 2.0 Flash Google | 65.2 |
| 87 | GPT-4.1 mini OpenAI | 64.2 |
| 88 | Granite 4.2 8B IBM | 64.1 |
| 89 | Qwen3 235B-A22B Alibaba | 62.9 |
| 90 | Qwen2.5-Max Alibaba | 60.1 |
| 91 | o1-mini OpenAI | 60.0 |
| 92 | Claude 3.5 Sonnet Anthropic | 59.4 |
| 93 | DeepSeek V3 DeepSeek | 59.1 |
| 94 | Ling 2.6 Flash InclusionAI | 59.0 |
| 95 | Gemma 4 E4B Google | 58.6 |
| 96 | ZAYA1-74B-Preview Zyphra | 57.3 |
| 97 | Phi-4 Microsoft | 56.1 |
| 98 | Grok 2 xAI | 56.0 |
| 99 | Qwen3 32B Alibaba | 54.6 |
| 100 | Llama 3.3 70B Meta | 50.5 |
| 101 | GPT-4.1 nano OpenAI | 50.3 |
| 102 | Gemini 1.5 Flash Google | 50.0 |
| 103 | Llama 3.1 70B Meta | 46.7 |
| 104 | Qwen2.5-VL-32B Alibaba | 46.0 |
| 105 | Mistral Small 3.1 Mistral | 46.0 |
| 106 | Gemma 4 E2B Google | 43.4 |
| 107 | Soofi S 30B-A3B Soofi Project | 43.4 |
| 108 | Claude 3.5 Haiku Anthropic | 41.6 |
| 109 | Mellum2-12B-A2.5B-Instruct JetBrains | 40.9 |
| 110 | LFM2.5-350M Liquid AI | 30.6 |
| 111 | Phi-3.5-mini Microsoft | 30.4 |
| 112 | Llama 3.1 8B Meta | 30.4 |
| 113 | Granite-4.0-H-1B IBM | 29.7 |
| 114 | Granite-4.0-H-350M IBM | 26.1 |
| 115 | LFM2.5-VL-450M Liquid AI | 25.7 |
| 116 | LFM2.5-230M Liquid AI | 25.4 |
| 117 | Granite-4.0-350M IBM | 24.1 |