Knowledge & reasoning
AA MMLU-Pro leaderboard
As of 2026-10-29, the highest measured score on AA MMLU-Pro is 89.8% by Gemini 3 Pro. 255 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Fable 5.1 | 91.6% | estimated ± 0.7 pp, medium confidence |
| 2 | Claude Opus 5.5 | 91.2% | estimated ± 0.7 pp, medium confidence |
| 3 | Claude Fable 5 | 91.1% | estimated ± 0.7 pp, medium confidence |
| 4 | GPT-6 Sol | 91.1% | estimated ± 0.6 pp, medium confidence |
| 5 | GPT-5.5 | 90.7% | estimated ± 0.6 pp, medium confidence |
| 6 | GPT-6.1 Sol | 90.6% | estimated ± 0.7 pp, medium confidence |
| 7 | GPT-6 Astra | 90.5% | estimated ± 0.7 pp, medium confidence |
| 8 | Claude Opus 5 | 90.4% | estimated ± 0.7 pp, medium confidence |
| 9 | Gemini 3.7 Flash | 90.4% | estimated ± 0.6 pp, medium confidence |
| 10 | Kimi K3.1 Pro | 90.3% | estimated ± 0.6 pp, medium confidence |
| 11 | GPT-5.6 Sol | 90.2% | estimated ± 0.7 pp, medium confidence |
| 12 | Grok 4.6 | 90.1% | estimated ± 0.6 pp, medium confidence |
| 13 | Gemini 4 Carbon | 90.0% | estimated ± 0.7 pp, medium confidence |
| 14 | Grok 4.5 | 90.0% | estimated ± 0.6 pp, medium confidence |
| 15 | Kimi K3 | 90.0% | estimated ± 0.6 pp, medium confidence |
| 16 | Claude Opus 4.8 | 89.9% | estimated ± 0.6 pp, medium confidence |
| 17 | GPT-5.4 | 89.9% | estimated ± 0.6 pp, medium confidence |
| 18 | Claude Opus 4.7 (Adaptive) | 89.8% | estimated ± 0.6 pp, medium confidence |
| 19 | Gemini 3 Pro | 89.8% | measured |
| 20 | Muse Spark 1.1 | 89.5% | estimated ± 0.6 pp, medium confidence |
| 21 | Claude Opus 4.5 Thinking | 89.5% | measured |
| 22 | DeepSeek V4.1 Flash 1017 | 89.4% | estimated ± 0.6 pp, medium confidence |
| 23 | Gemini 3.6 Flash | 89.3% | estimated ± 0.6 pp, medium confidence |
| 24 | Muse Spark 1.2 | 89.3% | estimated ± 0.6 pp, medium confidence |
| 25 | Gemini 3.8 Flash | 89.1% | estimated ± 0.6 pp, medium confidence |
| 26 | Muse Spark | 89.0% | estimated ± 0.6 pp, medium confidence |
| 27 | Gemini 3.5 Flash | 89.0% | estimated ± 0.7 pp, high confidence |
| 28 | Claude Sonnet 5.5 | 89.0% | estimated ± 0.7 pp, high confidence |
| 29 | Gemini 3.1 Pro | 88.9% | estimated ± 1.5 pp, medium confidence |
| 30 | GPT-5.3 Codex | 88.9% | estimated ± 1.5 pp, medium confidence |
| 31 | Ling 3.1 Flash | 88.9% | estimated ± 1.5 pp, high confidence |
| 32 | Kimi K2.7 Code | 88.9% | estimated ± 1.5 pp, high confidence |
| 33 | Apodex 1.1 | 88.9% | estimated ± 1.5 pp, high confidence |
| 34 | Apodex 1.1 Mini | 88.9% | estimated ± 1.5 pp, high confidence |
| 35 | Hy3 | 88.9% | estimated ± 1.5 pp, high confidence |
| 36 | Muse Wonder | 88.8% | estimated ± 0.6 pp, medium confidence |
| 37 | Claude Opus 4.6 (Adaptive) | 88.8% | estimated ± 0.6 pp, medium confidence |
| 38 | MiMo-V2.6-Pro | 88.7% | estimated ± 0.6 pp, medium confidence |
| 39 | Solar Pro 4 | 88.6% | estimated ± 1.5 pp, high confidence |
| 40 | DeepSeek V4 Pro 0813 | 88.6% | estimated ± 0.7 pp, high confidence |
| 41 | Claude Sonnet 5 | 88.6% | estimated ± 0.6 pp, medium confidence |
| 42 | Grok 4.7 | 88.5% | estimated ± 0.6 pp, medium confidence |
| 43 | A.X K2 | 88.5% | estimated ± 1.5 pp, high confidence |
| 44 | Gemini 4 Argon | 88.4% | estimated ± 0.7 pp, high confidence |
| 45 | Claude Opus 4.7 | 88.4% | estimated ± 0.6 pp, medium confidence |
| 46 | Sage-A1.5 | 88.4% | estimated ± 1.5 pp, low confidence |
| 47 | Beam 1.0 501B-A23B FP8 | 88.4% | estimated ± 1.5 pp, low confidence |
| 48 | Beam 1.0 501B-A23B NVFP4 | 88.4% | estimated ± 1.5 pp, low confidence |
| 49 | GPT-6.1 Terra | 88.3% | estimated ± 0.7 pp, high confidence |
| 50 | MiniMax M3.1 Flash | 88.3% | estimated ± 0.6 pp, high confidence |
| 51 | DeepSeek V4 Flash 0731 | 88.2% | estimated ± 0.6 pp, medium confidence |
| 52 | GPT-5.6 Terra | 88.2% | estimated ± 0.7 pp, high confidence |
| 53 | Claude Opus 4.6 | 88.1% | estimated ± 0.6 pp, high confidence |
| 54 | Claude 4.1 Opus Thinking | 88.0% | measured |
| 55 | Grok 4.3 | 87.9% | estimated ± 0.6 pp, medium confidence |
| 56 | Hy3 Preview | 87.9% | estimated ± 0.6 pp, medium confidence |
| 57 | Qwen3.5 397B (Reasoning) | 87.8% | estimated ± 1.5 pp, high confidence |
| 58 | GPT-5.2-Codex | 87.8% | estimated ± 0.6 pp, high confidence |
| 59 | Claude Haiku 5.5 | 87.8% | estimated ± 0.6 pp, medium confidence |
| 60 | Muse Spark 1.3 | 87.7% | estimated ± 0.7 pp, high confidence |
| 61 | GPT-5.6 Luna | 87.6% | estimated ± 0.7 pp, high confidence |
| 62 | GPT-6 Luna | 87.5% | estimated ± 0.6 pp, high confidence |
| 63 | Muse Spark Open | 87.5% | estimated ± 0.6 pp, high confidence |
| 64 | GPT-5.2 | 87.4% | measured |
| 65 | Qwen 3.6 Max (preview) | 87.4% | estimated ± 0.6 pp, high confidence |
| 66 | Gemini 3 Flash | 87.3% | estimated ± 0.6 pp, high confidence |
| 67 | Muse Wonder Full | 87.3% | estimated ± 0.7 pp, high confidence |
| 68 | Claude 4 Opus Thinking | 87.3% | measured |
| 69 | Claude Opus 4.5 | 87.3% | estimated ± 0.6 pp, high confidence |
| 70 | MiniMax M3 | 87.3% | estimated ± 0.6 pp, high confidence |
| 71 | Step 5 Preview | 87.2% | estimated ± 0.6 pp, high confidence |
| 72 | Sakana Fugu | 87.2% | estimated ± 1.0 pp, low confidence |
| 73 | Sakana Fugu-Ultra | 87.2% | estimated ± 1.0 pp, low confidence |
| 74 | GPT-5.1-Codex | 87.2% | estimated ± 0.6 pp, high confidence |
| 75 | GPT-5.1-Codex-Max | 87.2% | estimated ± 0.6 pp, high confidence |
| 76 | Claude Mythos 5 | 87.1% | estimated ± 1.0 pp, low confidence |
| 77 | Claude Sonnet 4.6 | 87.1% | estimated ± 0.6 pp, high confidence |
| 78 | GPT-5 (high) | 87.1% | measured |
| 79 | GPT-5 (medium) | 87.1% | estimated ± 0.6 pp, high confidence |
| 80 | GLM-5.3 | 87.1% | estimated ± 0.6 pp, medium confidence |
| 81 | Ornith-1.5-397B | 87.0% | estimated ± 1.0 pp, low confidence |
| 82 | Qwen3.8 Max | 87.0% | estimated ± 1.0 pp, low confidence |
| 83 | GPT-5.1 | 87.0% | measured |
| 84 | Hy4 preview | 87.0% | estimated ± 1.0 pp, low confidence |
| 85 | GPT-5.4 mini | 86.9% | estimated ± 0.6 pp, high confidence |
| 86 | Qwen3.8 Max Preview | 86.9% | estimated ± 0.6 pp, medium confidence |
| 87 | Qwen3.8-Omni-Flash | 86.9% | estimated ± 1.0 pp, low confidence |
| 88 | Qwen3.7 Plus | 86.8% | estimated ± 1.0 pp, low confidence |
| 89 | o3-pro | 86.8% | estimated ± 1.1 pp, high confidence |
| 90 | Ling 3.0 Tiny | 86.8% | estimated ± 0.7 pp, high confidence |
| 91 | Interfaze Beta | 86.8% | estimated ± 1.0 pp, low confidence |
| 92 | Ornith-1.5-35B-A3B | 86.8% | estimated ± 1.0 pp, low confidence |
| 93 | Qwen3.7 Max | 86.7% | estimated ± 0.6 pp, high confidence |
| 94 | Qwen3.5 397B | 86.7% | estimated ± 1.0 pp, low confidence |
| 95 | Kimi K2.6 | 86.6% | estimated ± 0.6 pp, high confidence |
| 96 | Kimi K2.5 | 86.6% | estimated ± 0.6 pp, high confidence |
| 97 | Kimi K2.5 (Reasoning) | 86.6% | estimated ± 0.6 pp, high confidence |
| 98 | Grok 4 | 86.6% | measured |
| 99 | Qwen3.5-122B-A10B | 86.5% | estimated ± 1.0 pp, low confidence |
| 100 | Ornith-1.5-9B | 86.5% | estimated ± 1.0 pp, low confidence |
| 101 | Qwen3.6-35B-A3B | 86.5% | estimated ± 1.0 pp, low confidence |
| 102 | Ternary Bonsai 2 27B | 86.5% | estimated ± 1.0 pp, low confidence |
| 103 | Gemma 4 31B | 86.3% | estimated ± 1.0 pp, low confidence |
| 104 | MAI-Thinking-1 | 86.3% | estimated ± 1.0 pp, low confidence |
| 105 | GLM-5.2 | 86.3% | estimated ± 0.6 pp, medium confidence |
| 106 | Ling 3.0 Flash FP8 | 86.3% | estimated ± 1.0 pp, low confidence |
| 107 | Claude Sonnet 4.5 | 86.3% | estimated ± 1.0 pp, low confidence |
| 108 | Gemini 2.5 Pro | 86.2% | measured |
| 109 | Gemma 4 26B A4B | 86.1% | estimated ± 1.0 pp, low confidence |
| 110 | GLM-5-Turbo | 86.1% | estimated ± 0.6 pp, high confidence |
| 111 | MiMo-V2-Pro | 86.1% | estimated ± 0.6 pp, high confidence |
| 112 | Inkling | 86.1% | estimated ± 0.6 pp, medium confidence |
| 113 | Claude 4.1 Opus | 86.0% | estimated ± 1.1 pp, high confidence |
| 114 | Qwen3 235B 2507 (Reasoning) | 86.0% | estimated ± 1.0 pp, low confidence |
| 115 | DeepSeek-R1-0528 | 86.0% | estimated ± 1.0 pp, low confidence |
| 116 | GLM-5 | 86.0% | estimated ± 0.6 pp, high confidence |
| 117 | MiMo-V2.6-Flash | 86.0% | estimated ± 0.6 pp, high confidence |
| 118 | Grok 3 Mini | 86.0% | estimated ± 1.0 pp, low confidence |
| 119 | GPT-OSS 120B | 85.9% | estimated ± 1.0 pp, low confidence |
| 120 | GLM-5V-Turbo | 85.9% | estimated ± 0.6 pp, high confidence |
| 121 | Qwen3.6 Plus | 85.9% | estimated ± 0.6 pp, high confidence |
| 122 | Nemotron 3.5 Bolt 74B-A9B | 85.9% | estimated ± 1.5 pp, high confidence |
| 123 | Ling 3.0 Flash VL | 85.9% | estimated ± 1.5 pp, high confidence |
| 124 | Quasar 438B | 85.9% | estimated ± 1.5 pp, high confidence |
| 125 | K-EXAONE 2.0 | 85.9% | estimated ± 1.5 pp, high confidence |
| 126 | Trinity-Large-Preview | 85.9% | estimated ± 1.5 pp, high confidence |
| 127 | Trinity-Large-Thinking | 85.9% | estimated ± 1.5 pp, high confidence |
| 128 | Celeris-1 | 85.9% | estimated ± 1.5 pp, medium confidence |
| 129 | Exaone 4.0 1.2B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 130 | Exaone 4.0 32B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 131 | Gemma 4 E2B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 132 | Granite-4.0-350M | 85.9% | estimated ± 1.5 pp, medium confidence |
| 133 | Granite-4.0-H-1B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 134 | Granite-4.0-H-350M | 85.9% | estimated ± 1.5 pp, medium confidence |
| 135 | LFM2.5-2.6B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 136 | LFM2.5-VL-1.6B-Extract | 85.9% | estimated ± 1.5 pp, medium confidence |
| 137 | Llama 3.1 405B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 138 | Llama 3.1 70B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 139 | Llama 3.1 8B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 140 | Llama 3.3 70B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 141 | Llama 4 Maverick | 85.9% | estimated ± 1.5 pp, medium confidence |
| 142 | Llama 4 Scout | 85.9% | estimated ± 1.5 pp, medium confidence |
| 143 | MiniCPM5-2B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 144 | Mistral Small 4 (Reasoning) | 85.9% | estimated ± 1.5 pp, medium confidence |
| 145 | North Mini Code | 85.9% | estimated ± 1.5 pp, medium confidence |
| 146 | Phi-4 Multimodal Instruct | 85.9% | estimated ± 1.5 pp, medium confidence |
| 147 | Qwen3.5-4B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 148 | Qwen3-Omni-30B-A3B-Instruct | 85.9% | estimated ± 1.5 pp, medium confidence |
| 149 | Qwen3-Omni-30B-A3B-Thinking | 85.9% | estimated ± 1.5 pp, medium confidence |
| 150 | Sarvam 105B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 151 | Sarvam 30B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 152 | Ultravox v0.6 Llama 3.3 70B | 85.9% | estimated ± 1.5 pp, medium confidence |
| 153 | Nemotron 3 Super 100B | 85.9% | estimated ± 1.0 pp, low confidence |
| 154 | o1-pro | 85.8% | estimated ± 1.0 pp, low confidence |
| 155 | Gemma 4 12B | 85.8% | estimated ± 1.0 pp, low confidence |
| 156 | o1 | 85.8% | estimated ± 0.6 pp, high confidence |
| 157 | Qwen3 235B 2507 | 85.7% | estimated ± 1.0 pp, low confidence |
| 158 | o3-mini | 85.6% | estimated ± 1.0 pp, low confidence |
| 159 | GLM-4.7 | 85.6% | measured |
| 160 | MiniMax M2.7 | 85.6% | estimated ± 0.6 pp, high confidence |
| 161 | Beam 1.0 501B-A23B | 85.6% | estimated ± 0.6 pp, high confidence |
| 162 | GLM-5.1 | 85.5% | estimated ± 0.6 pp, high confidence |
| 163 | Nemotron Ultra 253B | 85.5% | estimated ± 1.0 pp, low confidence |
| 164 | Mistral Large 4 | 85.5% | estimated ± 0.6 pp, high confidence |
| 165 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 85.5% | estimated ± 1.0 pp, low confidence |
| 166 | Grok 3 [Beta] | 85.4% | estimated ± 1.0 pp, low confidence |
| 167 | GLM-4.7-Flash | 85.4% | estimated ± 1.0 pp, low confidence |
| 168 | Grok 4.1 Fast (Reasoning) | 85.4% | measured |
| 169 | Claude 4 Opus | 85.4% | estimated ± 1.0 pp, low confidence |
| 170 | MiMo-V2.5-Pro | 85.4% | estimated ± 0.6 pp, medium confidence |
| 171 | LFM2.5-24B-A2B | 85.3% | estimated ± 1.0 pp, low confidence |
| 172 | o3 | 85.3% | measured |
| 173 | GPT-5.4 nano | 85.3% | estimated ± 0.6 pp, high confidence |
| 174 | Claude 3.7 Sonnet Thinking | 85.2% | estimated ± 0.6 pp, high confidence |
| 175 | Inkling-Small | 85.2% | estimated ± 0.6 pp, medium confidence |
| 176 | Nemotron 3 Nano 30B | 85.2% | estimated ± 1.0 pp, low confidence |
| 177 | Step 3.7 Flash | 85.2% | estimated ± 0.6 pp, high confidence |
| 178 | DeepSeek V3.1 (Reasoning) | 85.1% | measured |
| 179 | Nemotron 3 Nano Omni 30B A3B | 85.1% | estimated ± 1.0 pp, low confidence |
| 180 | Claude 3.7 Sonnet | 85.0% | estimated ± 0.6 pp, high confidence |
| 181 | Grok 4 Fast (Reasoning) | 85.0% | measured |
| 182 | GPT-OSS 20B | 85.0% | estimated ± 1.0 pp, low confidence |
| 183 | Ministral 3 14B (Reasoning) | 85.0% | estimated ± 1.0 pp, low confidence |
| 184 | Qwen3 235B-A22B (Reasoning) | 85.0% | estimated ± 1.0 pp, low confidence |
| 185 | ZAYA1-8B | 84.9% | estimated ± 1.0 pp, low confidence |
| 186 | DeepSeek-R1 | 84.9% | measured |
| 187 | Qwen3.5-27B | 84.9% | estimated ± 0.6 pp, medium confidence |
| 188 | MiMo-V2-Omni | 84.8% | estimated ± 0.6 pp, medium confidence |
| 189 | Spark-X2.6-4B | 84.8% | estimated ± 1.0 pp, low confidence |
| 190 | o4-mini | 84.8% | estimated ± 0.6 pp, high confidence |
| 191 | GPT-4.5 | 84.8% | estimated ± 1.0 pp, low confidence |
| 192 | GPT-4.1 | 84.7% | estimated ± 0.6 pp, medium confidence |
| 193 | Kimi K2 | 84.7% | estimated ± 0.6 pp, medium confidence |
| 194 | Phi-4-reasoning-plus | 84.7% | estimated ± 1.0 pp, low confidence |
| 195 | Nemotron 3.5 Super VL 120B A12B | 84.6% | estimated ± 0.6 pp, high confidence |
| 196 | Qwen3 Max | 84.6% | estimated ± 0.6 pp, high confidence |
| 197 | DeepSeek V3.2 | 84.6% | estimated ± 0.6 pp, high confidence |
| 198 | Qwen3.6-27B | 84.6% | estimated ± 0.6 pp, medium confidence |
| 199 | Qwen3 32B (Reasoning) | 84.6% | estimated ± 1.0 pp, low confidence |
| 200 | Nemotron 3.5 Super VL 120B A12B NVFP4 | 84.6% | estimated ± 0.6 pp, high confidence |
| 201 | Qwen3.8-Flash-Next | 84.5% | estimated ± 0.7 pp, high confidence |
| 202 | Claude 4 Sonnet | 84.5% | estimated ± 0.6 pp, medium confidence |
| 203 | Gemini 3.5 Flash-Lite | 84.5% | estimated ± 0.6 pp, medium confidence |
| 204 | Qwen3.5-35B-A3B | 84.5% | estimated ± 0.6 pp, medium confidence |
| 205 | Mistral Medium 3.5 128B | 84.5% | estimated ± 0.7 pp, high confidence |
| 206 | Grok Code Fast 1 | 84.4% | estimated ± 0.6 pp, high confidence |
| 207 | Granite 4.2 30B | 84.3% | estimated ± 1.0 pp, low confidence |
| 208 | o1-preview | 84.3% | estimated ± 1.1 pp, medium confidence |
| 209 | Ling 3.0 Flash | 84.3% | estimated ± 0.6 pp, medium confidence |
| 210 | Mercury 2.5 | 84.3% | estimated ± 0.7 pp, medium confidence |
| 211 | DeepSeek V3.1 | 84.3% | estimated ± 0.6 pp, high confidence |
| 212 | Nemotron 3.5 Bolt 74B-A9B BF16 | 84.3% | estimated ± 0.7 pp, medium confidence |
| 213 | Gemini 2.5 Flash | 84.3% | estimated ± 0.6 pp, medium confidence |
| 214 | Phi-4-reasoning | 84.3% | estimated ± 1.0 pp, low confidence |
| 215 | QwQ-32B | 84.2% | estimated ± 1.0 pp, low confidence |
| 216 | Qwen3.8-27B | 84.2% | estimated ± 0.6 pp, medium confidence |
| 217 | Mistral Small 4 | 84.2% | estimated ± 0.7 pp, medium confidence |
| 218 | GLM-4.6 | 84.2% | estimated ± 0.6 pp, medium confidence |
| 219 | Muse Glimmer 30B | 84.2% | estimated ± 0.6 pp, medium confidence |
| 220 | Mistral Large 3 | 84.1% | estimated ± 0.6 pp, medium confidence |
| 221 | DeepSeek V3 | 84.1% | estimated ± 0.6 pp, medium confidence |
| 222 | DeepSeek V3 0324 | 84.1% | estimated ± 0.6 pp, medium confidence |
| 223 | Granite 4.2 8B | 84.0% | estimated ± 1.0 pp, low confidence |
| 224 | Nemotron 3 Ultra | 83.9% | estimated ± 0.6 pp, medium confidence |
| 225 | Gemini 2.0 Flash | 83.9% | estimated ± 0.6 pp, medium confidence |
| 226 | Qwen3 235B-A22B | 83.8% | estimated ± 1.0 pp, low confidence |
| 227 | Claude 3 Opus | 83.7% | estimated ± 1.1 pp, medium confidence |
| 228 | MiMo-V2-Flash | 83.6% | estimated ± 0.6 pp, medium confidence |
| 229 | GPT-4.1 mini | 83.6% | estimated ± 0.6 pp, medium confidence |
| 230 | DeepSeek R1 Distill Qwen 32B | 83.6% | estimated ± 1.1 pp, medium confidence |
| 231 | Command A+ | 83.6% | estimated ± 0.6 pp, medium confidence |
| 232 | K-Exaone | 83.6% | estimated ± 0.6 pp, medium confidence |
| 233 | Magistral Medium | 83.5% | estimated ± 0.6 pp, medium confidence |
| 234 | Gemini 1.5 Pro | 83.5% | estimated ± 1.1 pp, medium confidence |
| 235 | Ling 2.6 Flash | 83.5% | estimated ± 0.6 pp, medium confidence |
| 236 | GPT-4o | 83.4% | estimated ± 0.6 pp, medium confidence |
| 237 | Qwen2.5-Max | 83.4% | estimated ± 1.0 pp, low confidence |
| 238 | Grok 4.1 Fast | 83.4% | estimated ± 0.6 pp, medium confidence |
| 239 | o1-mini | 83.4% | estimated ± 1.0 pp, low confidence |
| 240 | Mistral Large 2 | 83.3% | estimated ± 0.6 pp, medium confidence |
| 241 | Gemini 1.5 Flash | 83.3% | estimated ± 1.1 pp, medium confidence |
| 242 | Mistral Medium 3 | 83.3% | estimated ± 0.6 pp, medium confidence |
| 243 | GPT-4 Turbo | 83.3% | estimated ± 1.1 pp, medium confidence |
| 244 | Claude 3.5 Sonnet | 83.3% | estimated ± 1.0 pp, low confidence |
| 245 | GLM-4.5-Air | 83.3% | estimated ± 0.6 pp, medium confidence |
| 246 | Qwen2.5 Coder 32B Instruct | 83.2% | estimated ± 1.1 pp, medium confidence |
| 247 | Solar Pro 3 | 83.2% | estimated ± 0.6 pp, medium confidence |
| 248 | GPT-4o mini | 83.2% | estimated ± 1.1 pp, medium confidence |
| 249 | DeepSeek-V2.5 | 83.2% | estimated ± 1.1 pp, medium confidence |
| 250 | Magistral Small | 83.2% | estimated ± 0.6 pp, medium confidence |
| 251 | Gemma 4 E4B | 83.1% | estimated ± 1.0 pp, low confidence |
| 252 | Mellum2-12B-A2.5B-Thinking | 83.0% | estimated ± 1.0 pp, low confidence |
| 253 | Nova Pro | 82.9% | estimated ± 0.6 pp, medium confidence |
| 254 | ZAYA1-74B-Preview | 82.9% | estimated ± 1.0 pp, low confidence |
| 255 | Claude 3 Haiku | 82.9% | estimated ± 0.6 pp, medium confidence |
| 256 | Gemini 1.0 Pro | 82.9% | estimated ± 1.1 pp, medium confidence |
| 257 | Solar Pro 2 | 82.8% | estimated ± 0.6 pp, medium confidence |
| 258 | Mistral Small 3.1 | 82.7% | estimated ± 0.6 pp, medium confidence |
| 259 | Devstral Small | 82.7% | estimated ± 0.6 pp, medium confidence |
| 260 | Gemini 2.5 Flash-Lite | 82.7% | estimated ± 0.6 pp, medium confidence |
| 261 | Claude 3.5 Haiku | 82.7% | estimated ± 0.6 pp, medium confidence |
| 262 | Phi-4 | 82.7% | estimated ± 1.0 pp, low confidence |
| 263 | Grok 2 | 82.7% | estimated ± 1.0 pp, low confidence |
| 264 | GPT-4.1 nano | 82.6% | estimated ± 0.6 pp, medium confidence |
| 265 | Granite 4.2 3B | 82.4% | estimated ± 1.0 pp, low confidence |
| 266 | Qwen3 32B | 82.4% | estimated ± 1.0 pp, low confidence |
| 267 | LFM2.5-8B-A1B | 82.3% | estimated ± 0.7 pp, medium confidence |
| 268 | Gemma 3 27B | 82.3% | estimated ± 0.6 pp, medium confidence |
| 269 | LFM3-1.7B | 82.0% | estimated ± 0.7 pp, medium confidence |
| 270 | Grok 2 mini | 81.7% | estimated ± 1.0 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 Hard
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
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- CWE-Bench-AA
- AA Cyber Index
- DeepsecBench-AA
- AA EnterpriseOps-Gym
- GDP.pdf
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- AA ITBench
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- Agents' Last Exam
- APEX-Agents
- APEX-Agents-AA
- ApprenticeBench
- AutomationBench
- BFCL v4
- BrowseComp
- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- Finance Agent v2
- GDPval-AA
- Gert Labs
- Hermes Bench
- Hermes Index
- HLE w/ tools
- JobBench
- MazeBench
- MCP Atlas
- MCP-Tasks
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- OSWorld 2.1 Offline
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- OSWorld 2.0
- PinchBench
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA LiveCodeBench
- AA-SciCode
- Bug Hunt Bench
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 2.0
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-Atlas Codebase QnA
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- SWE-Marathon
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2024
- AIME 2025
- AIME26
- FrontierMath v2 (Tier 4)
- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
- HMMT Feb 2026
- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- AA MMLU-Pro
- ARC-AGI-2
- ARC-AGI-3 Provider Adapter
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BBH
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- GraphWalks BFS 256K–1M
- HealthBench (raw)
- HealthBench Hard
- HealthBench (length-adjusted)
- HealthBench Professional
- HealthBench Professional (raw)
- HLE
- HLE w/o tools
- HLE-Verified
- JevBench 1.4
- LABBench2
- MedXpertQA (Text)
- MMLU
- MMLU-Pro
- MMLU-Pro (Arcee)
- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SimpleQA
- STEMBench
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- AI2D_TEST
- BabyVision
- CC-OCR
- Chartography (tools)
- CharXiv
- CharXiv w/o tools
- CountBench
- DynaMath
- ERQA
- LVBench
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MLVU (M-Avg)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OCRBench V2
- OfficeQA Pro
- OmniDocBench 1.5
- ParseBench
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- SWE-bench Multimodal
- Video-MME (w/o subtitle)
- Video-MME (with subtitle)
- VideoMMMU
- V*
- We-Math
- ZeroBench