Knowledge & reasoning
GPQA Diamond leaderboard
As of 2026-10-07, the highest measured score on GPQA Diamond is 96.0% by GPT-6 Astra. 177 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Gemini 4 Argon | 97.1% | estimated ± 2.2 pp, medium confidence |
| 2 | Claude Sonnet 5.5 | 96.0% | estimated ± 1.0 pp, low confidence |
| 3 | Claude Opus 5.5 | 96.0% | estimated ± 1.0 pp, low confidence |
| 4 | Ling 3.1 Flash | 96.0% | estimated ± 1.0 pp, low confidence |
| 5 | GPT-6 Astra | 96.0% | measured |
| 6 | GPT-6.1 Sol | 96.0% | estimated ± 1.0 pp, medium confidence |
| 7 | Sakana Fugu | 95.5% | measured |
| 8 | Sakana Fugu-Ultra | 95.5% | measured |
| 9 | Claude Fable 5 | 95.2% | estimated ± 1.4 pp, high confidence |
| 10 | Gemini 3.8 Flash | 95.2% | estimated ± 1.4 pp, high confidence |
| 11 | Pareto 26.9 | 95.0% | estimated ± 1.9 pp, high confidence |
| 12 | GPT-6 Luna | 94.9% | estimated ± 1.0 pp, medium confidence |
| 13 | GPT-6 Sol | 94.9% | estimated ± 1.0 pp, medium confidence |
| 14 | Claude Fable 5.1 | 94.7% | estimated ± 1.4 pp, high confidence |
| 15 | MiMo-V2.6-Pro | 94.7% | estimated ± 2.2 pp, high confidence |
| 16 | GPT-5.6 Sol | 94.6% | measured |
| 17 | Muse Spark 1.3 | 94.5% | estimated ± 2.2 pp, high confidence |
| 18 | Gemini 3.1 Pro | 94.3% | measured |
| 19 | Claude Opus 4.7 (Adaptive) | 94.2% | measured |
| 20 | Claude Mythos 5 | 94.1% | estimated ± 0.4 pp, high confidence |
| 21 | Claude Opus 5 | 94.0% | estimated ± 1.0 pp, medium confidence |
| 22 | Claude Haiku 5.5 | 93.9% | estimated ± 1.9 pp, high confidence |
| 23 | Gemini 3.7 Flash | 93.8% | estimated ± 1.4 pp, high confidence |
| 24 | dots3-note Preview | 93.7% | estimated ± 1.5 pp, high confidence |
| 25 | Claude Opus 4.8 | 93.6% | measured |
| 26 | GPT-5.5 | 93.6% | measured |
| 27 | Muse Spark 1.1 | 93.6% | estimated ± 1.0 pp, medium confidence |
| 28 | GPT-5.5 Pro | 93.5% | estimated ± 1.4 pp, high confidence |
| 29 | Kimi K3 | 93.5% | measured |
| 30 | Step 5 Preview | 93.5% | measured |
| 31 | GPT-5.4 Pro | 93.3% | estimated ± 1.4 pp, high confidence |
| 32 | GPT-5.6 Terra | 92.9% | measured |
| 33 | GPT-5.4 | 92.8% | measured |
| 34 | Ornith-1.5-397B | 92.8% | measured |
| 35 | Gemini 3.5 Flash | 92.7% | measured |
| 36 | Grok 4.7 | 92.7% | estimated ± 1.0 pp, medium confidence |
| 37 | Qwen3.8 Max | 92.6% | measured |
| 38 | Claude Opus 4.6 (Adaptive) | 92.6% | estimated ± 1.4 pp, high confidence |
| 39 | Qwen3.8 Max Preview | 92.5% | estimated ± 2.2 pp, high confidence |
| 40 | Pareto 26.10 Preview | 92.4% | measured |
| 41 | Qwen3.7 Max | 92.4% | measured |
| 42 | GPT-5.2 | 92.4% | estimated ± 0.4 pp, high confidence |
| 43 | GPT-5.6 Luna | 92.3% | measured |
| 44 | Hy4 preview | 92.3% | measured |
| 45 | GPT-5.3 Codex | 92.3% | estimated ± 2.2 pp, high confidence |
| 46 | MiniMax M3 | 92.1% | estimated ± 1.7 pp, high confidence |
| 47 | Muse Spark 1.2 | 91.8% | estimated ± 2.0 pp, high confidence |
| 48 | Gemini 3.6 Flash | 91.8% | estimated ± 1.4 pp, high confidence |
| 49 | Qwen3.8-Flash-Next | 91.7% | measured |
| 50 | Agents-A1 | 91.4% | estimated ± 2.3 pp, high confidence |
| 51 | GLM-5.2 | 91.2% | measured |
| 52 | Qwen3.8-Omni-Flash | 91.0% | measured |
| 53 | DeepSeek V4.1 Flash | 90.9% | measured |
| 54 | Claude Opus 4.7 | 90.8% | estimated ± 1.7 pp, high confidence |
| 55 | Kimi K2.6 | 90.5% | measured |
| 56 | Beam | 90.5% | measured |
| 57 | Qwen3.6 Plus | 90.4% | estimated ± 0.1 pp, high confidence |
| 58 | Qwen3.7 Plus | 90.3% | measured |
| 59 | Grok 4.3 | 90.2% | estimated ± 0.1 pp, high confidence |
| 60 | DeepSeek V4 Pro 0813 | 90.1% | measured |
| 61 | Claude Sonnet 5 | 90.1% | estimated ± 1.7 pp, high confidence |
| 62 | Grok 4.6 | 90.0% | estimated ± 1.4 pp, high confidence |
| 63 | Interfaze Beta | 89.9% | measured |
| 64 | Claude Sonnet 4.6 | 89.9% | estimated ± 0.1 pp, high confidence |
| 65 | GLM-5.3 | 89.6% | estimated ± 1.7 pp, high confidence |
| 66 | Grok 4.5 | 89.5% | estimated ± 1.4 pp, high confidence |
| 67 | GPT-5.2-Codex | 89.5% | estimated ± 2.2 pp, high confidence |
| 68 | Gemini 3 Flash | 89.5% | estimated ± 1.7 pp, high confidence |
| 69 | Inkling-Small | 89.5% | measured |
| 70 | Muse Spark | 89.5% | measured |
| 71 | Gemini 3 Pro Deep Think | 89.4% | estimated ± 1.5 pp, high confidence |
| 72 | MiMo-V2.6-Flash | 89.3% | estimated ± 2.2 pp, high confidence |
| 73 | Kimi K2.7 Code | 89.2% | estimated ± 2.2 pp, high confidence |
| 74 | Mistral Large 4 | 89.2% | estimated ± 2.2 pp, high confidence |
| 75 | Claude Opus 4.6 | 89.2% | measured |
| 76 | Ornith-1.5-35B-A3B | 89.2% | measured |
| 77 | Qwen3.8-27B | 89.2% | measured |
| 78 | Solar Pro 4 | 89.0% | measured |
| 79 | Apodex 1.1 | 88.8% | estimated ± 2.2 pp, high confidence |
| 80 | Apodex 1.1 Mini | 88.8% | estimated ± 2.2 pp, high confidence |
| 81 | GLM-5.3-Flash | 88.7% | estimated ± 1.7 pp, high confidence |
| 82 | Hy3 | 88.5% | estimated ± 2.2 pp, high confidence |
| 83 | Grok 4.20 | 88.5% | measured |
| 84 | Qwen3.5 397B | 88.4% | estimated ± 0.4 pp, high confidence |
| 85 | DeepSeek V4 Flash 0731 | 88.1% | measured |
| 86 | GPT-5.4 mini | 88.0% | estimated ± 0.1 pp, high confidence |
| 87 | Inkling | 87.9% | measured |
| 88 | Qwen3.6-27B | 87.8% | estimated ± 0.4 pp, high confidence |
| 89 | Kimi K2.5 | 87.6% | measured |
| 90 | Claude Opus 4.5 Thinking | 87.6% | estimated ± 1.4 pp, medium confidence |
| 91 | Kimi K2.5 (Reasoning) | 87.6% | estimated ± 0.4 pp, high confidence |
| 92 | Qwen 3.6 Max (preview) | 87.3% | estimated ± 2.2 pp, high confidence |
| 93 | Hy3 Preview | 87.2% | measured |
| 94 | Gemini 3.5 Flash-Lite | 87.2% | estimated ± 1.7 pp, high confidence |
| 95 | MiMo-V2-Pro | 87.1% | estimated ± 2.2 pp, high confidence |
| 96 | MiniMax M2.7 | 87.0% | measured |
| 97 | Nemotron 3 Ultra | 87.0% | measured |
| 98 | Claude Opus 4.5 | 87.0% | estimated ± 0.4 pp, high confidence |
| 99 | Qwen3.5-122B-A10B | 86.6% | estimated ± 0.4 pp, high confidence |
| 100 | Qwen3.5 Flash | 86.6% | estimated ± 1.7 pp, medium confidence |
| 101 | MiMo-V2.5-Pro | 86.4% | estimated ± 1.7 pp, medium confidence |
| 102 | Ornith-1.5-9B | 86.4% | measured |
| 103 | Solar Open 2 | 86.3% | measured |
| 104 | Gemini 3 Pro | 86.3% | estimated ± 1.4 pp, medium confidence |
| 105 | GLM-5.1 | 86.2% | measured |
| 106 | Seed 2.1 Pro | 86.2% | estimated ± 12.9 pp, low confidence |
| 107 | GPT-5 (high) | 86.1% | estimated ± 2.2 pp, high confidence |
| 108 | o3-pro | 86.0% | estimated ± 2.4 pp, high confidence |
| 109 | GLM-5 | 86.0% | measured |
| 110 | Qwen3.6-35B-A3B | 86.0% | estimated ± 0.4 pp, high confidence |
| 111 | MiMo-V2.5 | 85.8% | estimated ± 1.7 pp, medium confidence |
| 112 | GPT-5.1 | 85.8% | estimated ± 1.4 pp, medium confidence |
| 113 | Ternary Bonsai 2 27B | 85.8% | measured |
| 114 | GLM-5-Turbo | 85.8% | estimated ± 2.2 pp, high confidence |
| 115 | GLM-4.7 | 85.6% | estimated ± 0.1 pp, high confidence |
| 116 | A.X K2 | 85.6% | measured |
| 117 | Gemini 3.1 Flash-Lite | 85.5% | estimated ± 1.7 pp, medium confidence |
| 118 | Qwen3.5-27B | 85.5% | estimated ± 0.4 pp, high confidence |
| 119 | Grok 4 | 85.2% | estimated ± 2.2 pp, high confidence |
| 120 | Ling 3.0 Flash | 85.0% | measured |
| 121 | GPT-5.1-Codex | 84.6% | estimated ± 2.2 pp, high confidence |
| 122 | GPT-5.1-Codex-Max | 84.6% | estimated ± 2.2 pp, high confidence |
| 123 | GPT-5 (medium) | 84.5% | estimated ± 2.2 pp, high confidence |
| 124 | Claude Sonnet 4.5 Thinking | 84.3% | estimated ± 1.4 pp, medium confidence |
| 125 | Gemma 4 31B | 84.3% | estimated ± 0.4 pp, high confidence |
| 126 | MAI-Thinking-1 | 84.2% | measured |
| 127 | Qwen3.5-35B-A3B | 84.2% | estimated ± 0.4 pp, high confidence |
| 128 | Ling 3.0 Flash FP8 | 84.0% | measured |
| 129 | Seed 2.1 Turbo | 83.9% | estimated ± 12.9 pp, low confidence |
| 130 | Claude Sonnet 4.5 | 83.4% | estimated ± 0.4 pp, high confidence |
| 131 | MiMo-V2-Flash | 83.3% | estimated ± 0.1 pp, high confidence |
| 132 | Claude 4.1 Opus | 83.0% | estimated ± 2.4 pp, high confidence |
| 133 | Gemini 2.5 Pro | 83.0% | estimated ± 0.4 pp, high confidence |
| 134 | GPT-5.4 nano | 82.8% | estimated ± 0.1 pp, high confidence |
| 135 | MiMo-V2-Omni | 82.6% | estimated ± 2.2 pp, high confidence |
| 136 | Ling 3.0 Flash VL | 82.5% | estimated ± 2.2 pp, high confidence |
| 137 | Muse Glimmer 30B | 82.5% | estimated ± 2.2 pp, high confidence |
| 138 | K-EXAONE 2.0 | 82.2% | measured |
| 139 | Step 3.7 Flash | 82.2% | estimated ± 2.2 pp, high confidence |
| 140 | Nemotron 3 Super 100B | 81.8% | estimated ± 2.2 pp, high confidence |
| 141 | GLM-4.6 | 81.4% | estimated ± 1.7 pp, medium confidence |
| 142 | o3 | 81.4% | estimated ± 2.2 pp, high confidence |
| 143 | Qwen3.5 397B (Reasoning) | 81.2% | estimated ± 2.2 pp, high confidence |
| 144 | GPT-OSS 120B | 81.0% | estimated ± 2.2 pp, high confidence |
| 145 | Grok 4.1 Fast (Reasoning) | 80.9% | estimated ± 2.2 pp, high confidence |
| 146 | Grok 4 Fast (Reasoning) | 80.7% | estimated ± 2.2 pp, high confidence |
| 147 | Quasar 438B | 80.5% | estimated ± 2.2 pp, high confidence |
| 148 | Claude Haiku 4.5 | 79.9% | estimated ± 1.7 pp, medium confidence |
| 149 | GLM-4.5 | 79.9% | estimated ± 1.7 pp, medium confidence |
| 150 | Gemma 4 26B A4B | 79.7% | estimated ± 1.9 pp, high confidence |
| 151 | GLM-5V-Turbo | 79.4% | estimated ± 2.2 pp, high confidence |
| 152 | Mercury 2.5 | 79.0% | measured |
| 153 | o1-pro | 79.0% | estimated ± 0.4 pp, high confidence |
| 154 | Gemma 4 12B | 78.8% | measured |
| 155 | DeepSeek-R1 | 78.5% | estimated ± 2.2 pp, high confidence |
| 156 | Qwen3 235B 2507 | 77.5% | estimated ± 0.4 pp, high confidence |
| 157 | DeepSeek V3.1 (Reasoning) | 77.4% | estimated ± 2.2 pp, high confidence |
| 158 | o3-mini | 77.2% | estimated ± 0.4 pp, high confidence |
| 159 | K-Exaone | 77.1% | estimated ± 2.2 pp, high confidence |
| 160 | Trinity-Large-Thinking | 76.3% | measured |
| 161 | Claude 4.1 Opus Thinking | 76.1% | estimated ± 2.2 pp, high confidence |
| 162 | Command A+ | 75.7% | estimated ± 2.2 pp, high confidence |
| 163 | o1 | 75.7% | estimated ± 0.4 pp, high confidence |
| 164 | Qwen3 Max | 75.6% | estimated ± 2.2 pp, high confidence |
| 165 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 75.6% | measured |
| 166 | Nemotron 3 Nano 30B | 75.2% | estimated ± 2.2 pp, high confidence |
| 167 | DeepSeek V3.2 | 75.1% | estimated ± 2.2 pp, high confidence |
| 168 | North Mini Code | 75.0% | estimated ± 2.2 pp, high confidence |
| 169 | GPT-OSS 20B | 74.9% | estimated ± 2.2 pp, high confidence |
| 170 | Sarvam 105B | 74.9% | estimated ± 2.2 pp, high confidence |
| 171 | Solar Pro 3 | 74.3% | estimated ± 2.2 pp, high confidence |
| 172 | Mistral Small 4 | 74.0% | estimated ± 2.2 pp, high confidence |
| 173 | Mistral Small 4 (Reasoning) | 74.0% | estimated ± 2.2 pp, high confidence |
| 174 | Ling 3.0 Tiny | 73.5% | estimated ± 2.2 pp, high confidence |
| 175 | o1-preview | 72.6% | estimated ± 2.4 pp, high confidence |
| 176 | Grok Code Fast 1 | 72.4% | estimated ± 2.2 pp, high confidence |
| 177 | Nemotron 3 Nano Omni 30B A3B | 72.2% | measured |
| 178 | Qwen3-Omni-30B-A3B-Thinking | 71.9% | estimated ± 2.2 pp, high confidence |
| 179 | Sarvam 30B | 71.9% | estimated ± 2.2 pp, high confidence |
| 180 | Kimi K2 | 71.9% | estimated ± 2.2 pp, high confidence |
| 181 | Nemotron Ultra 253B | 71.9% | estimated ± 2.2 pp, high confidence |
| 182 | GLM-4.5-Air | 71.5% | estimated ± 2.2 pp, high confidence |
| 183 | LFM2.5-8B-A1B | 71.4% | estimated ± 2.2 pp, high confidence |
| 184 | Celeris-1 | 71.3% | estimated ± 2.2 pp, high confidence |
| 185 | DeepSeek V3.1 | 71.2% | estimated ± 2.2 pp, high confidence |
| 186 | ZAYA1-8B | 71.0% | measured |
| 187 | Granite-4.0-H-350M | 71.0% | estimated ± 2.2 pp, high confidence |
| 188 | LFM2.5-2.6B | 70.8% | estimated ± 2.2 pp, high confidence |
| 189 | Exaone 4.0 1.2B | 70.3% | estimated ± 2.2 pp, high confidence |
| 190 | MiniCPM5-2B | 70.2% | measured |
| 191 | Granite-4.0-350M | 70.1% | estimated ± 2.2 pp, high confidence |
| 192 | Grok 4.1 Fast | 69.7% | estimated ± 2.2 pp, high confidence |
| 193 | LFM2.5-VL-1.6B-Extract | 69.7% | estimated ± 2.2 pp, high confidence |
| 194 | Exaone 4.0 32B | 69.6% | estimated ± 2.2 pp, high confidence |
| 195 | Granite-4.0-H-1B | 69.6% | estimated ± 2.2 pp, high confidence |
| 196 | Phi-4 Multimodal Instruct | 69.6% | estimated ± 2.2 pp, high confidence |
| 197 | Llama 4 Maverick | 69.5% | estimated ± 2.2 pp, high confidence |
| 198 | LongCat-Flash-Lite-Sparse | 69.5% | measured |
| 199 | DeepSeek V3 0324 | 69.3% | estimated ± 2.2 pp, medium confidence |
| 200 | Gemini 2.5 Flash | 69.3% | estimated ± 2.2 pp, medium confidence |
| 201 | DeepSeek R1 Distill Qwen 32B | 69.2% | estimated ± 2.2 pp, medium confidence |
| 202 | Gemini 1.5 Pro | 69.2% | estimated ± 2.2 pp, medium confidence |
| 203 | Qwen3-Omni-30B-A3B-Instruct | 69.2% | estimated ± 2.2 pp, medium confidence |
| 204 | Gemma 3 27B | 69.0% | estimated ± 2.2 pp, medium confidence |
| 205 | Claude 4 Sonnet | 69.0% | estimated ± 2.2 pp, medium confidence |
| 206 | Gemini 1.0 Pro | 68.9% | estimated ± 2.2 pp, medium confidence |
| 207 | GPT-4o mini | 68.9% | estimated ± 2.2 pp, medium confidence |
| 208 | Mistral Large 3 | 68.9% | estimated ± 2.2 pp, medium confidence |
| 209 | Claude 3 Haiku | 68.8% | estimated ± 2.2 pp, medium confidence |
| 210 | Mistral Medium 3 | 68.8% | estimated ± 2.2 pp, medium confidence |
| 211 | Llama 3.1 405B | 68.7% | estimated ± 2.2 pp, medium confidence |
| 212 | Llama 4 Scout | 68.5% | estimated ± 2.2 pp, medium confidence |
| 213 | Phi-4 | 68.5% | estimated ± 2.2 pp, medium confidence |
| 214 | Solar Pro 2 | 68.4% | estimated ± 2.2 pp, medium confidence |
| 215 | Ultravox v0.6 Llama 3.3 70B | 68.3% | estimated ± 2.2 pp, medium confidence |
| 216 | Qwen2.5 Coder 32B Instruct | 68.2% | estimated ± 2.2 pp, medium confidence |
| 217 | Mistral Large 2 | 68.0% | estimated ± 2.2 pp, medium confidence |
| 218 | Nova Pro | 67.9% | estimated ± 2.2 pp, medium confidence |
| 219 | GPT-4 Turbo | 67.7% | estimated ± 2.2 pp, medium confidence |
| 220 | Claude 3 Opus | 67.4% | estimated ± 2.2 pp, medium confidence |
| 221 | Laguna XS.2 | 67.4% | estimated ± 1.7 pp, medium confidence |
| 222 | GPT-4o | 67.0% | estimated ± 2.2 pp, medium confidence |
| 223 | Granite 4.2 30B | 66.4% | estimated ± 0.4 pp, high confidence |
| 224 | GPT-4.1 | 66.3% | estimated ± 0.4 pp, high confidence |
| 225 | GPT-4.1 mini | 64.2% | estimated ± 0.4 pp, high confidence |
| 226 | Granite 4.2 8B | 64.1% | estimated ± 0.4 pp, high confidence |
| 227 | Trinity-Large-Preview | 63.3% | measured |
| 228 | Claude 3.5 Sonnet | 59.4% | estimated ± 0.4 pp, high confidence |
| 229 | DeepSeek V3 | 59.1% | estimated ± 0.4 pp, high confidence |
| 230 | Ling 2.6 Flash | 59.0% | estimated ± 0.4 pp, high confidence |
| 231 | Gemma 4 E4B | 58.6% | estimated ± 0.4 pp, high confidence |
| 232 | Mellum2-12B-A2.5B-Thinking | 57.6% | measured |
| 233 | ZAYA1-74B-Preview | 57.3% | measured |
| 234 | Granite 4.2 3B | 54.8% | estimated ± 0.4 pp, high confidence |
| 235 | GPT-4.1 nano | 50.3% | estimated ± 0.4 pp, high confidence |
| 236 | Mistral Medium 3.5 128B | 48.6% | estimated ± 1.7 pp, medium confidence |
| 237 | LLaDA2.2-mini | 44.4% | measured |
| 238 | Gemma 4 E2B | 43.4% | estimated ± 0.4 pp, high confidence |
| 239 | Soofi S 30B-A3B | 43.4% | measured |
| 240 | Mellum2-12B-A2.5B-Instruct | 40.9% | measured |
| 241 | Laguna M.1 | 39.9% | estimated ± 1.7 pp, medium confidence |
| 242 | MiniCPM5-1B | 26.3% | measured |
| 243 | LFM2.5-VL-450M | 25.7% | estimated ± 0.4 pp, high confidence |
| 244 | LFM2.5-230M | 25.4% | measured |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
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- Terminal-Bench 4.0
- Terminal-Bench-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
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Coding
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Math
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- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
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- Artificial Analysis Intelligence Index
- BioMysteryBench (human-difficult)
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- C-Eval
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- HLE
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Instruction following
Multilingual
Vision & documents
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- ScreenSpot Pro
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