Knowledge & reasoning
AA-GPQA Diamond leaderboard
As of 2026-10-07, the highest measured score on AA-GPQA Diamond is 96.1% by GPT-6 Astra. 63 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Gemini 4 Argon | 96.6% | estimated ± 1.2 pp, low confidence |
| 2 | Claude Sonnet 5.5 | 96.2% | estimated ± 2.1 pp, low confidence |
| 3 | Claude Opus 5.5 | 96.2% | estimated ± 2.1 pp, low confidence |
| 4 | Ling 3.1 Flash | 96.2% | estimated ± 2.1 pp, low confidence |
| 5 | GPT-6 Astra | 96.1% | measured |
| 6 | Gemini 3.8 Flash | 95.3% | measured |
| 7 | Grok 4.6 | 94.9% | measured |
| 8 | Gemini 3.7 Flash | 94.5% | measured |
| 9 | GPT-6.1 Sol | 94.4% | estimated ± 1.2 pp, high confidence |
| 10 | GPT-6 Sol | 94.3% | estimated ± 1.2 pp, high confidence |
| 11 | Gemini 3.1 Pro | 94.1% | measured |
| 12 | GPT-5.6 Sol | 94.1% | measured |
| 13 | Claude Fable 5.1 | 93.7% | measured |
| 14 | Claude Mythos 5 | 93.6% | estimated ± 2.7 pp, high confidence |
| 15 | GPT-5.5 Pro | 93.5% | estimated ± 2.7 pp, high confidence |
| 16 | GPT-5.5 | 93.5% | measured |
| 17 | Kimi K3 | 93.5% | measured |
| 18 | Muse Spark 1.3 | 93.5% | measured |
| 19 | GPT-5.4 Pro | 93.4% | estimated ± 2.7 pp, high confidence |
| 20 | dots3-note Preview | 93.2% | estimated ± 2.7 pp, high confidence |
| 21 | Claude Opus 5 | 93.2% | measured |
| 22 | Grok 4.5 | 93.1% | measured |
| 23 | MiniMax M3 | 92.9% | measured |
| 24 | DeepSeek V4 Pro 0813 | 92.8% | measured |
| 25 | Gemini 3.6 Flash | 92.8% | measured |
| 26 | Qwen3.8 Max Preview | 92.8% | measured |
| 27 | Claude Fable 5 | 92.6% | measured |
| 28 | GPT-5.6 Terra | 92.5% | measured |
| 29 | Qwen3.7 Max | 92.3% | measured |
| 30 | Qwen3.8-Flash-Next | 92.3% | measured |
| 31 | Gemini 3.5 Flash | 92.2% | measured |
| 32 | Sakana Fugu-Ultra | 92.2% | estimated ± 2.7 pp, high confidence |
| 33 | Pareto 26.9 | 92.0% | estimated ± 2.7 pp, high confidence |
| 34 | Claude Opus 4.8 | 92.0% | measured |
| 35 | GPT-5.4 | 92.0% | measured |
| 36 | Pareto 26.10 Preview | 92.0% | estimated ± 5.6 pp, medium confidence |
| 37 | MiMo-V2.6-Pro | 91.8% | estimated ± 6.8 pp, medium confidence |
| 38 | GLM-5.3 | 91.7% | measured |
| 39 | Sakana Fugu | 91.7% | estimated ± 2.7 pp, high confidence |
| 40 | GPT-5.3 Codex | 91.5% | measured |
| 41 | Grok 4.7 | 91.5% | estimated ± 2.1 pp, medium confidence |
| 42 | Claude Haiku 5.5 | 91.4% | estimated ± 2.7 pp, high confidence |
| 43 | Claude Opus 4.7 (Adaptive) | 91.4% | measured |
| 44 | GLM-5.3-Flash | 91.2% | measured |
| 45 | Ornith-1.5-397B | 91.2% | estimated ± 2.7 pp, high confidence |
| 46 | Claude Sonnet 5 | 91.1% | measured |
| 47 | GPT-5.6 Luna | 91.1% | measured |
| 48 | Kimi K2.6 | 91.1% | measured |
| 49 | Qwen3.8 Max | 91.0% | estimated ± 2.7 pp, high confidence |
| 50 | Hy4 preview | 90.9% | estimated ± 2.7 pp, high confidence |
| 51 | DeepSeek V4 Flash 0731 | 90.8% | measured |
| 52 | Gemini 3 Pro | 90.8% | measured |
| 53 | Mistral Large 4 | 90.8% | estimated ± 6.8 pp, medium confidence |
| 54 | MiMo-V2.6-Flash | 90.7% | estimated ± 6.8 pp, medium confidence |
| 55 | Qwen3.8-27B | 90.5% | measured |
| 56 | Muse Spark 1.2 | 90.4% | measured |
| 57 | GPT-5.2 | 90.3% | measured |
| 58 | Grok 4.3 | 90.1% | measured |
| 59 | Qwen3.7 Plus | 90.0% | measured |
| 60 | GPT-5.2-Codex | 89.9% | measured |
| 61 | Muse Spark 1.1 | 89.8% | measured |
| 62 | Hy3 | 89.7% | measured |
| 63 | Hy3 Preview | 89.7% | measured |
| 64 | Claude Opus 4.6 (Adaptive) | 89.6% | measured |
| 65 | Kimi K2.7 Code | 89.6% | measured |
| 66 | GLM-5.2 | 89.5% | measured |
| 67 | Inkling-Small | 89.5% | measured |
| 68 | Agents-A1 | 89.3% | estimated ± 3.4 pp, high confidence |
| 69 | Step 5 Preview | 89.3% | estimated ± 3.4 pp, high confidence |
| 70 | Beam | 89.3% | estimated ± 2.7 pp, high confidence |
| 71 | GPT-6 Luna | 89.3% | estimated ± 1.2 pp, medium confidence |
| 72 | Solar Pro 4 | 89.1% | measured |
| 73 | Gemini 3 Pro Deep Think | 89.1% | estimated ± 2.7 pp, high confidence |
| 74 | Qwen 3.6 Max (preview) | 88.8% | measured |
| 75 | Grok 4.20 | 88.7% | estimated ± 1.2 pp, medium confidence |
| 76 | DeepSeek V4.1 Flash | 88.7% | estimated ± 3.4 pp, high confidence |
| 77 | Qwen3.8-Omni-Flash | 88.7% | estimated ± 3.4 pp, high confidence |
| 78 | Claude Opus 4.7 | 88.5% | measured |
| 79 | Interfaze Beta | 88.5% | estimated ± 5.4 pp, medium confidence |
| 80 | Muse Spark | 88.4% | measured |
| 81 | Qwen3.6 Plus | 88.2% | measured |
| 82 | Kimi K2.5 | 87.9% | measured |
| 83 | Kimi K2.5 (Reasoning) | 87.9% | measured |
| 84 | Grok 4 | 87.7% | measured |
| 85 | GPT-5.4 mini | 87.5% | measured |
| 86 | MiniMax M2.7 | 87.4% | measured |
| 87 | GPT-5.1 | 87.3% | measured |
| 88 | Inkling | 87.2% | measured |
| 89 | Solar Open 2 | 87.2% | estimated ± 2.7 pp, high confidence |
| 90 | MiMo-V2-Pro | 87.0% | measured |
| 91 | GLM-5.1 | 86.8% | measured |
| 92 | Nemotron 3 Ultra | 86.7% | measured |
| 93 | Claude Opus 4.5 Thinking | 86.6% | measured |
| 94 | MiMo-V2.5-Pro | 86.6% | measured |
| 95 | Apodex 1.1 | 86.4% | measured |
| 96 | Apodex 1.1 Mini | 86.4% | measured |
| 97 | Ling 3.0 Flash VL | 86.2% | measured |
| 98 | Qwen3.5 397B | 86.1% | measured |
| 99 | Qwen3.5 397B (Reasoning) | 86.1% | measured |
| 100 | Seed 2.1 Pro | 86.1% | estimated ± 5.0 pp, medium confidence |
| 101 | Ornith-1.5-35B-A3B | 86.1% | estimated ± 2.7 pp, high confidence |
| 102 | GPT-5.1-Codex | 86.0% | measured |
| 103 | GPT-5.1-Codex-Max | 86.0% | measured |
| 104 | GLM-4.7 | 85.9% | measured |
| 105 | Qwen3.5-27B | 85.8% | measured |
| 106 | A.X K2 | 85.7% | measured |
| 107 | Gemma 4 31B | 85.7% | measured |
| 108 | Qwen3.5-122B-A10B | 85.7% | measured |
| 109 | Seed 2.1 Turbo | 85.6% | estimated ± 5.0 pp, medium confidence |
| 110 | Ling 3.0 Flash | 85.5% | measured |
| 111 | Ling 3.0 Flash FP8 | 85.5% | measured |
| 112 | Claude Sonnet 4.5 Thinking | 85.5% | estimated ± 2.7 pp, high confidence |
| 113 | Claude Sonnet 4.5 | 85.5% | estimated ± 2.7 pp, high confidence |
| 114 | GPT-5 (high) | 85.4% | measured |
| 115 | Grok 4.1 Fast (Reasoning) | 85.3% | measured |
| 116 | GLM-5-Turbo | 84.7% | measured |
| 117 | Grok 4 Fast (Reasoning) | 84.7% | measured |
| 118 | o3-pro | 84.5% | measured |
| 119 | Qwen3.5-35B-A3B | 84.5% | measured |
| 120 | Gemini 2.5 Pro | 84.4% | measured |
| 121 | Ternary Bonsai 2 27B | 84.3% | estimated ± 5.4 pp, medium confidence |
| 122 | GPT-5 (medium) | 84.2% | measured |
| 123 | Qwen3.6-27B | 84.2% | measured |
| 124 | Qwen3.6-35B-A3B | 84.1% | measured |
| 125 | Qwen3.5 Flash | 84.1% | estimated ± 4.2 pp, high confidence |
| 126 | Claude Opus 4.6 | 84.0% | measured |
| 127 | Ornith-1.5-9B | 83.9% | estimated ± 2.7 pp, high confidence |
| 128 | Gemini 3.5 Flash-Lite | 83.8% | measured |
| 129 | Muse Glimmer 30B | 83.5% | measured |
| 130 | LongCat-Flash-Lite-Sparse | 83.0% | estimated ± 2.0 pp, low confidence |
| 131 | K-EXAONE 2.0 | 82.9% | measured |
| 132 | Qwen3 235B 2507 | 82.8% | estimated ± 5.0 pp, medium confidence |
| 133 | MiMo-V2-Omni | 82.8% | measured |
| 134 | MAI-Thinking-1 | 82.7% | estimated ± 5.4 pp, medium confidence |
| 135 | o3 | 82.7% | measured |
| 136 | MiMo-V2.5 | 82.5% | estimated ± 4.2 pp, high confidence |
| 137 | Claude 4.1 Opus | 82.4% | estimated ± 6.8 pp, medium confidence |
| 138 | GLM-5 | 82.0% | measured |
| 139 | Gemini 3.1 Flash-Lite | 81.9% | estimated ± 4.2 pp, high confidence |
| 140 | GPT-5.4 nano | 81.7% | measured |
| 141 | DeepSeek-R1 | 81.3% | measured |
| 142 | Gemini 3 Flash | 81.2% | measured |
| 143 | Claude Opus 4.5 | 81.0% | measured |
| 144 | Claude 4.1 Opus Thinking | 80.9% | measured |
| 145 | GLM-5V-Turbo | 80.9% | measured |
| 146 | Step 3.7 Flash | 80.9% | measured |
| 147 | Nemotron 3 Super 100B | 80.0% | measured |
| 148 | Claude Sonnet 4.6 | 79.9% | measured |
| 149 | Gemma 4 26B A4B | 79.2% | measured |
| 150 | K-Exaone | 78.3% | measured |
| 151 | GPT-OSS 120B | 78.2% | measured |
| 152 | Mercury 2.5 | 78.0% | estimated ± 5.6 pp, medium confidence |
| 153 | DeepSeek V3.1 (Reasoning) | 77.9% | measured |
| 154 | o1-pro | 77.5% | estimated ± 5.4 pp, medium confidence |
| 155 | Mistral Small 4 | 76.9% | measured |
| 156 | Mistral Small 4 (Reasoning) | 76.9% | measured |
| 157 | Kimi K2 | 76.6% | measured |
| 158 | o1-preview | 76.5% | measured |
| 159 | Qwen3 Max | 76.4% | measured |
| 160 | Command A+ | 76.1% | measured |
| 161 | Nemotron 3 Nano 30B | 75.7% | measured |
| 162 | North Mini Code | 75.7% | measured |
| 163 | Gemma 4 12B | 75.3% | measured |
| 164 | Trinity-Large-Preview | 75.2% | measured |
| 165 | Trinity-Large-Thinking | 75.2% | measured |
| 166 | DeepSeek V3.2 | 75.1% | measured |
| 167 | Mistral Medium 3.5 128B | 74.8% | measured |
| 168 | o3-mini | 74.8% | measured |
| 169 | o1 | 74.7% | measured |
| 170 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 74.3% | measured |
| 171 | Sarvam 105B | 73.8% | measured |
| 172 | DeepSeek V3.1 | 73.5% | measured |
| 173 | Ling 3.0 Tiny | 73.4% | measured |
| 174 | GLM-4.5-Air | 73.3% | measured |
| 175 | Quasar 438B | 73.2% | measured |
| 176 | Nemotron Ultra 253B | 72.8% | measured |
| 177 | Grok Code Fast 1 | 72.7% | measured |
| 178 | Qwen3-Omni-30B-A3B-Thinking | 72.6% | measured |
| 179 | Claude Haiku 4.5 | 72.5% | estimated ± 4.2 pp, high confidence |
| 180 | GLM-4.5 | 72.5% | estimated ± 4.2 pp, high confidence |
| 181 | Solar Pro 3 | 72.4% | measured |
| 182 | MiniCPM5-2B | 70.2% | measured |
| 183 | MiniCPM5-1B | 70.2% | estimated ± 5.0 pp, low confidence |
| 184 | ZAYA1-8B | 69.4% | estimated ± 5.4 pp, medium confidence |
| 185 | Laguna XS.2 | 68.9% | estimated ± 4.2 pp, high confidence |
| 186 | GPT-OSS 20B | 68.8% | measured |
| 187 | Laguna M.1 | 68.7% | estimated ± 4.2 pp, medium confidence |
| 188 | Claude 4 Sonnet | 68.3% | measured |
| 189 | Gemini 2.5 Flash | 68.3% | measured |
| 190 | Mistral Large 3 | 68.0% | measured |
| 191 | Llama 4 Maverick | 67.1% | measured |
| 192 | GPT-4.1 | 66.6% | measured |
| 193 | GPT-4.1 mini | 66.4% | measured |
| 194 | MiMo-V2-Flash | 65.6% | measured |
| 195 | DeepSeek V3 0324 | 65.5% | measured |
| 196 | Granite 4.2 30B | 64.4% | measured |
| 197 | Grok 4.1 Fast | 63.7% | measured |
| 198 | Sarvam 30B | 63.3% | measured |
| 199 | GLM-4.6 | 63.2% | measured |
| 200 | Celeris-1 | 63.1% | measured |
| 201 | Granite 4.2 8B | 63.1% | measured |
| 202 | Exaone 4.0 32B | 62.8% | measured |
| 203 | Qwen3-Omni-30B-A3B-Instruct | 62.0% | measured |
| 204 | DeepSeek R1 Distill Qwen 32B | 61.5% | measured |
| 205 | Ling 2.6 Flash | 59.3% | measured |
| 206 | Gemini 1.5 Pro | 58.9% | measured |
| 207 | Llama 4 Scout | 58.7% | measured |
| 208 | Mistral Medium 3 | 57.8% | measured |
| 209 | Claude 3.5 Sonnet | 57.7% | estimated ± 5.4 pp, medium confidence |
| 210 | Gemma 4 E4B | 57.6% | measured |
| 211 | Phi-4 | 57.5% | measured |
| 212 | Solar Pro 2 | 56.1% | measured |
| 213 | Granite 4.2 3B | 55.9% | measured |
| 214 | Mellum2-12B-A2.5B-Thinking | 55.9% | estimated ± 5.4 pp, medium confidence |
| 215 | LFM2.5-2.6B | 55.8% | measured |
| 216 | DeepSeek V3 | 55.7% | measured |
| 217 | ZAYA1-74B-Preview | 55.6% | estimated ± 5.4 pp, medium confidence |
| 218 | GPT-4o | 54.3% | measured |
| 219 | GPT-4 Turbo | 52.4% | estimated ± 6.8 pp, medium confidence |
| 220 | Llama 3.1 405B | 51.5% | measured |
| 221 | LFM2.5-8B-A1B | 51.3% | measured |
| 222 | GPT-4.1 nano | 51.2% | measured |
| 223 | Nova Pro | 49.9% | measured |
| 224 | Ultravox v0.6 Llama 3.3 70B | 49.8% | measured |
| 225 | Claude 3 Opus | 48.9% | measured |
| 226 | Mistral Large 2 | 48.6% | measured |
| 227 | Nemotron 3 Nano Omni 30B A3B | 46.9% | measured |
| 228 | Gemma 4 E2B | 43.3% | measured |
| 229 | Gemma 3 27B | 42.8% | measured |
| 230 | GPT-4o mini | 42.6% | measured |
| 231 | Exaone 4.0 1.2B | 42.4% | measured |
| 232 | LLaDA2.2-mini | 41.8% | estimated ± 5.6 pp, low confidence |
| 233 | Qwen2.5 Coder 32B Instruct | 41.7% | measured |
| 234 | Soofi S 30B-A3B | 41.6% | estimated ± 5.4 pp, medium confidence |
| 235 | Mellum2-12B-A2.5B-Instruct | 39.1% | estimated ± 5.4 pp, low confidence |
| 236 | Claude 3 Haiku | 37.4% | measured |
| 237 | Phi-4 Multimodal Instruct | 31.5% | measured |
| 238 | LFM2.5-VL-1.6B-Extract | 28.9% | measured |
| 239 | Gemini 1.0 Pro | 27.7% | measured |
| 240 | Granite-4.0-H-1B | 26.3% | measured |
| 241 | Granite-4.0-350M | 26.1% | measured |
| 242 | Granite-4.0-H-350M | 25.7% | measured |
| 243 | LFM2.5-VL-450M | 23.7% | estimated ± 5.4 pp, low confidence |
| 244 | LFM2.5-230M | 23.4% | estimated ± 5.4 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
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- Terminal-Bench 2.0
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Agentic · tools
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Coding
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Math
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Knowledge & reasoning
- AA-GPQA Diamond
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Instruction following
Multilingual
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