Knowledge & reasoning
SuperGPQA leaderboard
As of 2026-10-07, the highest measured score on SuperGPQA is 95.0% by Claude Opus 4.6. 214 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 95.0% | measured |
| 2 | Claude Sonnet 4.6 | 95.0% | measured |
| 3 | Claude Haiku 5.5 | 91.4% | estimated ± 10.4 pp, low confidence |
| 4 | Claude Fable 5.1 | 90.9% | estimated ± 7.5 pp, low confidence |
| 5 | Claude Opus 5.5 | 90.7% | estimated ± 7.5 pp, low confidence |
| 6 | Claude Fable 5 | 90.5% | estimated ± 7.5 pp, low confidence |
| 7 | GLM-5.3-Flash | 90.3% | estimated ± 10.4 pp, low confidence |
| 8 | GPT-6 Astra | 89.7% | estimated ± 7.5 pp, low confidence |
| 9 | GPT-6.1 Sol | 89.6% | estimated ± 7.5 pp, low confidence |
| 10 | Claude Opus 5 | 89.3% | estimated ± 7.5 pp, low confidence |
| 11 | GPT-5.6 Sol | 88.8% | estimated ± 7.5 pp, low confidence |
| 12 | GPT-5.5 | 88.4% | estimated ± 7.5 pp, low confidence |
| 13 | Gemini 3 Pro | 87.7% | estimated ± 7.5 pp, low confidence |
| 14 | Claude Mythos 5 | 87.6% | estimated ± 9.1 pp, low confidence |
| 15 | Gemini 3.7 Flash | 87.6% | estimated ± 7.5 pp, low confidence |
| 16 | Gemini 3.1 Pro | 87.4% | estimated ± 7.5 pp, low confidence |
| 17 | Gemini 3.8 Flash | 87.3% | estimated ± 7.5 pp, low confidence |
| 18 | GPT-6 Sol | 87.3% | estimated ± 7.5 pp, low confidence |
| 19 | Claude Sonnet 5.5 | 87.1% | estimated ± 7.5 pp, low confidence |
| 20 | GPT-5.3 Codex | 86.8% | estimated ± 7.5 pp, low confidence |
| 21 | Muse Spark 1.1 | 86.5% | estimated ± 7.5 pp, low confidence |
| 22 | Gemini 3.5 Flash | 86.4% | estimated ± 7.5 pp, low confidence |
| 23 | Grok 4.5 | 86.3% | estimated ± 7.5 pp, low confidence |
| 24 | GPT-5.4 | 86.0% | estimated ± 7.5 pp, low confidence |
| 25 | GPT-5.4 Pro | 85.9% | estimated ± 9.1 pp, low confidence |
| 26 | Gemini 3.6 Flash | 85.7% | estimated ± 7.5 pp, low confidence |
| 27 | Gemini 4 Argon | 85.7% | estimated ± 7.5 pp, low confidence |
| 28 | Muse Spark | 85.5% | estimated ± 7.5 pp, low confidence |
| 29 | GPT-5.5 Pro | 85.4% | estimated ± 9.1 pp, low confidence |
| 30 | DeepSeek V4 Pro 0813 | 85.3% | estimated ± 7.5 pp, low confidence |
| 31 | Claude Opus 4.7 (Adaptive) | 85.3% | estimated ± 7.5 pp, low confidence |
| 32 | Claude Opus 4.8 | 85.2% | estimated ± 7.5 pp, low confidence |
| 33 | Grok 4.6 | 85.0% | estimated ± 7.5 pp, low confidence |
| 34 | Hy4 preview | 84.8% | estimated ± 9.1 pp, low confidence |
| 35 | Kimi K3 | 84.7% | estimated ± 7.5 pp, low confidence |
| 36 | Grok 4.7 | 84.7% | estimated ± 7.5 pp, low confidence |
| 37 | Claude Opus 4.6 (Adaptive) | 84.5% | estimated ± 7.5 pp, low confidence |
| 38 | GPT-5.6 Terra | 84.4% | estimated ± 7.5 pp, low confidence |
| 39 | Claude Opus 4.5 Thinking | 84.3% | estimated ± 7.5 pp, low confidence |
| 40 | DeepSeek V4.1 Flash | 84.2% | estimated ± 7.5 pp, low confidence |
| 41 | Gemini 3 Flash | 84.0% | estimated ± 7.5 pp, medium confidence |
| 42 | dots3-note Preview | 83.8% | estimated ± 9.1 pp, medium confidence |
| 43 | Muse Spark 1.2 | 83.8% | estimated ± 7.5 pp, medium confidence |
| 44 | Claude Opus 4.7 | 83.5% | estimated ± 7.5 pp, medium confidence |
| 45 | Sakana Fugu | 83.5% | estimated ± 9.2 pp, low confidence |
| 46 | Sakana Fugu-Ultra | 83.5% | estimated ± 9.2 pp, low confidence |
| 47 | GPT-5.2 | 83.3% | estimated ± 7.5 pp, medium confidence |
| 48 | GPT-6 Luna | 83.1% | estimated ± 7.5 pp, medium confidence |
| 49 | Muse Spark 1.3 | 83.0% | estimated ± 7.5 pp, medium confidence |
| 50 | GPT-5.6 Luna | 82.5% | estimated ± 7.5 pp, medium confidence |
| 51 | Inkling | 82.0% | estimated ± 7.5 pp, medium confidence |
| 52 | Step 5 Preview | 81.9% | estimated ± 7.5 pp, medium confidence |
| 53 | Agents-A1 | 81.8% | estimated ± 9.1 pp, medium confidence |
| 54 | GPT-5.2-Codex | 81.7% | estimated ± 7.5 pp, medium confidence |
| 55 | Grok 4 | 81.4% | estimated ± 7.5 pp, medium confidence |
| 56 | DeepSeek V4 Flash 0731 | 81.4% | estimated ± 7.5 pp, medium confidence |
| 57 | GPT-5 (high) | 81.3% | estimated ± 7.5 pp, medium confidence |
| 58 | Claude Sonnet 5 | 81.2% | estimated ± 7.5 pp, medium confidence |
| 59 | GPT-5.1-Codex | 81.1% | estimated ± 7.5 pp, medium confidence |
| 60 | GPT-5.1-Codex-Max | 81.1% | estimated ± 7.5 pp, medium confidence |
| 61 | Kimi K2.7 Code | 80.9% | estimated ± 7.5 pp, medium confidence |
| 62 | GPT-5 (medium) | 80.9% | estimated ± 7.5 pp, medium confidence |
| 63 | Gemini 2.5 Pro | 80.7% | estimated ± 7.5 pp, medium confidence |
| 64 | Ornith-1.5-397B | 80.5% | estimated ± 9.1 pp, medium confidence |
| 65 | o3 | 80.4% | estimated ± 7.5 pp, medium confidence |
| 66 | Pareto 26.10 Preview | 80.2% | estimated ± 13.9 pp, low confidence |
| 67 | Qwen3.8 Max | 80.0% | estimated ± 9.1 pp, medium confidence |
| 68 | GPT-5.1 | 79.9% | estimated ± 7.5 pp, medium confidence |
| 69 | GPT-5.4 mini | 79.7% | estimated ± 7.5 pp, medium confidence |
| 70 | Kimi K2.5 (Reasoning) | 78.3% | estimated ± 7.5 pp, medium confidence |
| 71 | MiMo-V2.6-Pro | 78.1% | estimated ± 7.5 pp, medium confidence |
| 72 | Grok 4.3 | 77.9% | estimated ± 7.5 pp, medium confidence |
| 73 | o1 | 77.9% | estimated ± 7.5 pp, medium confidence |
| 74 | GLM-5.3 | 77.5% | estimated ± 7.5 pp, medium confidence |
| 75 | Beam | 77.2% | estimated ± 13.9 pp, low confidence |
| 76 | Inkling-Small | 77.0% | estimated ± 7.5 pp, medium confidence |
| 77 | Kimi K2.6 | 76.6% | estimated ± 7.5 pp, medium confidence |
| 78 | Hy3 | 76.1% | estimated ± 7.5 pp, medium confidence |
| 79 | Qwen3.8-Omni-Flash | 76.0% | estimated ± 9.1 pp, medium confidence |
| 80 | Apodex 1.1 | 75.9% | estimated ± 7.5 pp, medium confidence |
| 81 | Apodex 1.1 Mini | 75.9% | estimated ± 7.5 pp, medium confidence |
| 82 | Qwen3.8 Max Preview | 75.9% | estimated ± 7.5 pp, medium confidence |
| 83 | Hy3 Preview | 75.7% | estimated ± 7.5 pp, medium confidence |
| 84 | Interfaze Beta | 75.4% | estimated ± 9.2 pp, low confidence |
| 85 | DeepSeek-R1 | 75.0% | estimated ± 7.5 pp, medium confidence |
| 86 | Gemini 3.5 Flash-Lite | 74.2% | estimated ± 7.5 pp, medium confidence |
| 87 | GLM-4.7 | 74.0% | estimated ± 7.5 pp, medium confidence |
| 88 | GLM-5V-Turbo | 74.0% | estimated ± 7.5 pp, medium confidence |
| 89 | Grok 4.20 | 73.9% | estimated ± 13.9 pp, low confidence |
| 90 | Qwen 3.6 Max (preview) | 73.9% | measured |
| 91 | Ling 3.1 Flash | 73.8% | estimated ± 7.5 pp, medium confidence |
| 92 | DeepSeek V3.1 (Reasoning) | 73.7% | estimated ± 7.5 pp, medium confidence |
| 93 | Qwen3.7 Max | 73.6% | measured |
| 94 | GLM-5-Turbo | 73.2% | estimated ± 7.5 pp, medium confidence |
| 95 | GPT-4.1 | 72.7% | estimated ± 7.5 pp, medium confidence |
| 96 | Kimi K2 | 72.3% | estimated ± 7.5 pp, medium confidence |
| 97 | MiMo-V2.6-Flash | 72.0% | estimated ± 7.5 pp, medium confidence |
| 98 | Muse Glimmer 30B | 72.0% | estimated ± 7.5 pp, medium confidence |
| 99 | MiniMax M2.7 | 71.8% | estimated ± 7.5 pp, medium confidence |
| 100 | MiMo-V2-Pro | 71.6% | estimated ± 7.5 pp, medium confidence |
| 101 | Qwen3.6 Plus | 71.6% | measured |
| 102 | Qwen3.7 Plus | 71.4% | measured |
| 103 | Gemini 2.5 Flash | 71.1% | estimated ± 7.5 pp, medium confidence |
| 104 | Claude 4.1 Opus Thinking | 71.0% | estimated ± 10.4 pp, low confidence |
| 105 | Mistral Large 4 | 70.8% | estimated ± 7.5 pp, medium confidence |
| 106 | Step 3.7 Flash | 70.8% | estimated ± 7.5 pp, medium confidence |
| 107 | Seed 2.1 Pro | 70.8% | measured |
| 108 | GPT-5.4 nano | 70.7% | estimated ± 7.5 pp, medium confidence |
| 109 | Claude Opus 4.5 | 70.6% | measured |
| 110 | Solar Open 2 | 70.6% | estimated ± 12.7 pp, low confidence |
| 111 | DeepSeek V3 | 70.5% | estimated ± 7.5 pp, medium confidence |
| 112 | Qwen3.5 397B | 70.4% | measured |
| 113 | Grok 4.1 Fast (Reasoning) | 70.1% | estimated ± 7.5 pp, medium confidence |
| 114 | Mistral Large 3 | 70.0% | estimated ± 7.5 pp, medium confidence |
| 115 | Llama 4 Maverick | 69.9% | estimated ± 7.5 pp, medium confidence |
| 116 | Mistral Medium 3.5 128B | 69.7% | estimated ± 7.5 pp, medium confidence |
| 117 | Qwen3.5 397B (Reasoning) | 69.5% | estimated ± 7.5 pp, medium confidence |
| 118 | Qwen3.8-Flash-Next | 69.5% | estimated ± 7.5 pp, medium confidence |
| 119 | o3-pro | 69.5% | estimated ± 10.4 pp, low confidence |
| 120 | Qwen3 Max | 69.4% | estimated ± 7.5 pp, medium confidence |
| 121 | DeepSeek V3 0324 | 69.3% | estimated ± 7.5 pp, medium confidence |
| 122 | GLM-5.2 | 69.3% | estimated ± 7.5 pp, medium confidence |
| 123 | Nemotron 3 Super 100B | 69.3% | estimated ± 7.5 pp, medium confidence |
| 124 | Kimi K2.5 | 69.2% | measured |
| 125 | DeepSeek V3.2 | 69.0% | estimated ± 7.5 pp, medium confidence |
| 126 | GLM-5.1 | 68.7% | estimated ± 7.5 pp, medium confidence |
| 127 | Grok Code Fast 1 | 68.4% | estimated ± 7.5 pp, medium confidence |
| 128 | Llama 3.1 405B | 68.1% | estimated ± 7.5 pp, medium confidence |
| 129 | DeepSeek V3.1 | 68.0% | estimated ± 7.5 pp, medium confidence |
| 130 | Grok 4 Fast (Reasoning) | 67.6% | estimated ± 7.5 pp, medium confidence |
| 131 | Claude 4 Sonnet | 67.5% | estimated ± 7.5 pp, medium confidence |
| 132 | Seed 2.1 Turbo | 67.4% | measured |
| 133 | Ornith-1.5-35B-A3B | 67.3% | estimated ± 9.1 pp, medium confidence |
| 134 | Trinity-Large-Preview | 67.3% | estimated ± 7.5 pp, medium confidence |
| 135 | Trinity-Large-Thinking | 67.3% | estimated ± 7.5 pp, medium confidence |
| 136 | MiMo-V2.5-Pro | 67.2% | estimated ± 7.5 pp, medium confidence |
| 137 | Qwen3.5-122B-A10B | 67.1% | measured |
| 138 | GLM-5 | 66.8% | measured |
| 139 | Mercury 2.5 | 66.7% | estimated ± 7.5 pp, medium confidence |
| 140 | MAI-Thinking-1 | 66.5% | estimated ± 9.2 pp, low confidence |
| 141 | GPT-OSS 120B | 66.5% | estimated ± 7.5 pp, medium confidence |
| 142 | Mistral Small 4 | 66.3% | estimated ± 7.5 pp, medium confidence |
| 143 | Mistral Small 4 (Reasoning) | 66.3% | estimated ± 7.5 pp, medium confidence |
| 144 | Nemotron 3 Ultra | 66.2% | estimated ± 7.5 pp, medium confidence |
| 145 | Qwen3.6-27B | 66.0% | measured |
| 146 | GLM-4.6 | 66.0% | estimated ± 7.5 pp, medium confidence |
| 147 | Qwen3.5-27B | 65.6% | measured |
| 148 | Claude Sonnet 4.5 | 65.3% | estimated ± 9.2 pp, low confidence |
| 149 | Qwen3.6-35B-A3B | 64.7% | measured |
| 150 | GPT-4.1 mini | 64.6% | estimated ± 7.5 pp, medium confidence |
| 151 | Nemotron Ultra 253B | 64.3% | estimated ± 7.5 pp, medium confidence |
| 152 | Gemma 4 31B | 64.2% | estimated ± 7.5 pp, medium confidence |
| 153 | GPT-4o | 64.0% | estimated ± 7.5 pp, medium confidence |
| 154 | Mistral Large 2 | 64.0% | estimated ± 7.5 pp, medium confidence |
| 155 | Claude 4.1 Opus | 64.0% | estimated ± 10.4 pp, low confidence |
| 156 | Qwen3.5-35B-A3B | 63.4% | measured |
| 157 | MiMo-V2-Omni | 63.2% | estimated ± 7.5 pp, medium confidence |
| 158 | Gemma 4 26B A4B | 62.9% | estimated ± 7.5 pp, medium confidence |
| 159 | Ultravox v0.6 Llama 3.3 70B | 62.8% | estimated ± 7.5 pp, medium confidence |
| 160 | North Mini Code | 62.6% | estimated ± 7.5 pp, medium confidence |
| 161 | Solar Pro 4 | 62.6% | estimated ± 7.5 pp, medium confidence |
| 162 | Qwen3 235B 2507 | 62.6% | measured |
| 163 | A.X K2 | 62.2% | estimated ± 7.5 pp, medium confidence |
| 164 | Solar Pro 3 | 62.1% | estimated ± 7.5 pp, medium confidence |
| 165 | Mistral Medium 3 | 61.8% | estimated ± 7.5 pp, medium confidence |
| 166 | Ling 3.0 Flash | 61.6% | estimated ± 7.5 pp, medium confidence |
| 167 | Ling 3.0 Flash FP8 | 61.6% | estimated ± 7.5 pp, medium confidence |
| 168 | Ornith-1.5-9B | 61.1% | estimated ± 9.1 pp, medium confidence |
| 169 | Claude 3 Haiku | 60.7% | estimated ± 7.5 pp, medium confidence |
| 170 | Sarvam 105B | 60.7% | estimated ± 7.5 pp, medium confidence |
| 171 | Nemotron 3 Nano 30B | 60.2% | estimated ± 7.5 pp, medium confidence |
| 172 | Grok 4.1 Fast | 60.1% | estimated ± 7.5 pp, medium confidence |
| 173 | Nova Pro | 59.6% | estimated ± 7.5 pp, medium confidence |
| 174 | MiniMax M3 | 59.3% | estimated ± 7.5 pp, medium confidence |
| 175 | K-Exaone | 58.8% | estimated ± 7.5 pp, medium confidence |
| 176 | GLM-4.5-Air | 58.6% | estimated ± 7.5 pp, medium confidence |
| 177 | o1-pro | 58.5% | estimated ± 9.2 pp, low confidence |
| 178 | Solar Pro 2 | 58.3% | estimated ± 7.5 pp, medium confidence |
| 179 | Ternary Bonsai 2 27B | 58.2% | estimated ± 4.5 pp, high confidence |
| 180 | GPT-OSS 20B | 58.1% | estimated ± 7.5 pp, medium confidence |
| 181 | Gemma 4 12B | 57.4% | estimated ± 7.5 pp, medium confidence |
| 182 | Ling 2.6 Flash | 57.4% | estimated ± 7.5 pp, medium confidence |
| 183 | MiMo-V2-Flash | 57.4% | estimated ± 7.5 pp, medium confidence |
| 184 | Qwen3.8-27B | 57.4% | estimated ± 7.5 pp, medium confidence |
| 185 | Quasar 438B | 57.2% | estimated ± 7.5 pp, medium confidence |
| 186 | Llama 4 Scout | 56.7% | estimated ± 7.5 pp, medium confidence |
| 187 | Nemotron 3 Nano Omni 30B A3B | 56.7% | estimated ± 7.5 pp, medium confidence |
| 188 | LongCat-Flash-Lite-Sparse | 56.1% | estimated ± 1.2 pp, low confidence |
| 189 | o3-mini | 55.8% | estimated ± 9.2 pp, low confidence |
| 190 | Qwen3-Omni-30B-A3B-Thinking | 55.6% | estimated ± 7.5 pp, medium confidence |
| 191 | Ling 3.0 Flash VL | 55.2% | estimated ± 7.5 pp, medium confidence |
| 192 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 55.2% | estimated ± 7.5 pp, medium confidence |
| 193 | Qwen3-Omni-30B-A3B-Instruct | 55.0% | estimated ± 7.5 pp, medium confidence |
| 194 | Phi-4 | 54.6% | estimated ± 7.5 pp, medium confidence |
| 195 | GPT-4.1 nano | 53.8% | estimated ± 7.5 pp, medium confidence |
| 196 | K-EXAONE 2.0 | 52.6% | estimated ± 7.5 pp, medium confidence |
| 197 | Gemma 3 27B | 52.4% | estimated ± 7.5 pp, medium confidence |
| 198 | Mellum2-12B-A2.5B-Thinking | 52.3% | estimated ± 4.5 pp, high confidence |
| 199 | Sarvam 30B | 51.5% | estimated ± 7.5 pp, medium confidence |
| 200 | Granite 4.2 8B | 48.3% | estimated ± 7.5 pp, medium confidence |
| 201 | o1-preview | 48.1% | estimated ± 10.4 pp, low confidence |
| 202 | Celeris-1 | 47.8% | estimated ± 7.5 pp, medium confidence |
| 203 | ZAYA1-8B | 47.4% | estimated ± 9.2 pp, low confidence |
| 204 | Exaone 4.0 32B | 46.8% | estimated ± 7.5 pp, medium confidence |
| 205 | Granite 4.2 30B | 45.5% | estimated ± 7.5 pp, medium confidence |
| 206 | LFM2.5-8B-A1B | 43.6% | estimated ± 7.5 pp, medium confidence |
| 207 | Granite 4.2 3B | 43.0% | estimated ± 7.5 pp, medium confidence |
| 208 | Command A+ | 42.2% | estimated ± 7.5 pp, medium confidence |
| 209 | Gemma 4 E4B | 41.3% | estimated ± 7.5 pp, medium confidence |
| 210 | Ling 3.0 Tiny | 41.0% | estimated ± 7.5 pp, medium confidence |
| 211 | MiniCPM5-2B | 40.8% | measured |
| 212 | Claude 3 Opus | 40.2% | estimated ± 10.4 pp, low confidence |
| 213 | DeepSeek R1 Distill Qwen 32B | 39.1% | estimated ± 10.4 pp, low confidence |
| 214 | Gemini 1.5 Pro | 37.5% | estimated ± 10.4 pp, low confidence |
| 215 | Claude 3.5 Sonnet | 36.4% | estimated ± 9.2 pp, low confidence |
| 216 | Mellum2-12B-A2.5B-Instruct | 35.9% | estimated ± 4.5 pp, high confidence |
| 217 | ZAYA1-74B-Preview | 35.1% | estimated ± 9.2 pp, low confidence |
| 218 | Gemma 4 E2B | 34.7% | estimated ± 7.5 pp, low confidence |
| 219 | GPT-4 Turbo | 34.4% | estimated ± 10.4 pp, low confidence |
| 220 | Qwen2.5 Coder 32B Instruct | 33.3% | estimated ± 10.4 pp, low confidence |
| 221 | GPT-4o mini | 33.0% | estimated ± 10.4 pp, low confidence |
| 222 | LFM2.5-VL-1.6B-Extract | 31.7% | estimated ± 7.5 pp, low confidence |
| 223 | Soofi S 30B-A3B | 30.4% | estimated ± 9.2 pp, low confidence |
| 224 | Phi-4 Multimodal Instruct | 29.8% | estimated ± 10.4 pp, low confidence |
| 225 | Granite-4.0-H-1B | 29.3% | estimated ± 7.5 pp, low confidence |
| 226 | LFM2.5-VL-450M | 29.3% | estimated ± 9.2 pp, low confidence |
| 227 | LFM2.5-230M | 29.3% | estimated ± 9.2 pp, low confidence |
| 228 | Exaone 4.0 1.2B | 28.4% | estimated ± 7.5 pp, low confidence |
| 229 | Gemini 1.0 Pro | 27.9% | estimated ± 10.4 pp, low confidence |
| 230 | LFM2.5-2.6B | 25.8% | estimated ± 7.5 pp, low confidence |
| 231 | LLaDA2.2-mini | 23.7% | estimated ± 13.9 pp, low confidence |
| 232 | Granite-4.0-350M | 23.5% | estimated ± 7.5 pp, low confidence |
| 233 | MiniCPM5-1B | 23.1% | measured |
| 234 | Granite-4.0-H-350M | 23.0% | estimated ± 7.5 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
- Terminal-Bench 3.0
- Terminal-Bench 4.0
- Terminal-Bench-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
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- GDP.pdf
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Coding
- AA Coding Index
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- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
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Math
- AIME 2025
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- IMOAnswerBench
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Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- ARC-AGI-2
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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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- MMMU
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- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
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