GPQA Diamond
Graduate-level science questions written to be Google-proof. Aggregated from Epoch AI's AI Benchmarking Hub (gpqa_diamond.csv, column 'mean_score'), used under CC-BY 4.0. The Known Good aggregates published results; it runs no evaluations.
253 models scored
Higher is better
Published by Epoch AI
CC-BY 4.0
GPQA Diamond
GPQA Diamond as measured and published by Epoch AI (CC-BY 4.0). Ingested, normalised only where it feeds an index, and never re-run by us. Higher is better.
💡 A lightbulb marks a model its provider publishes as a reasoning model
The Known Good
Every model we hold a GPQA Diamond score for
All 253 of 253 models
| # | Model | Creator | GPQA Diamond | Known Good Index | Measured |
|---|---|---|---|---|---|
| 1 |
|
OpenAI | 95.8 | — | 4 Sep 2026 |
| 2 |
|
94.8 | — | 4 Sep 2026 | |
| 3 |
|
OpenAI | 94.6 | — | 4 Sep 2026 |
| 4 |
|
94.4 | 97 | 4 Sep 2026 | |
| 5 |
|
94.1 | — | 4 Sep 2026 | |
| 6 |
|
OpenAI | 94.0 | 97 | 4 Sep 2026 |
| 7 |
|
xAI | 94.0 | — | 4 Sep 2026 |
| 8 |
|
OpenAI | 93.9 | — | 4 Sep 2026 |
| 9 |
|
Anthropic | 93.9 | — | 4 Sep 2026 |
| 10 |
|
OpenAI | 93.5 | — | 4 Sep 2026 |
| 11 |
|
xAI | 93.4 | — | 4 Sep 2026 |
| 12 |
|
OpenAI | 93.3 | — | 4 Sep 2026 |
| 13 |
|
OpenAI | 93.3 | 91 | 4 Sep 2026 |
| 14 |
|
Moonshot AI | 93.1 | — | 4 Sep 2026 |
| 15 |
|
92.8 | 95 | 4 Sep 2026 | |
| 16 |
|
Alibaba | 92.7 | — | 4 Sep 2026 |
| 17 |
|
92.6 | 84 | 4 Sep 2026 | |
| 18 |
|
Z.ai | 91.9 | 91 | 4 Sep 2026 |
| 19 |
|
DeepSeek | 91.7 | — | 4 Sep 2026 |
| 20 |
|
OpenAI | 91.6 | — | 4 Sep 2026 |
| 21 |
|
OpenAI | 91.4 | 81 | 4 Sep 2026 |
| 22 |
|
Anthropic | 91.0 | — | 4 Sep 2026 |
| 23 |
|
DeepSeek | 91.0 | — | 4 Sep 2026 |
| 24 |
|
MiniMax | 90.9 | — | 4 Sep 2026 |
| 25 |
|
Alibaba | 90.9 | 93 | 4 Sep 2026 |
| 26 |
|
DeepSeek | 90.9 | 93 | 4 Sep 2026 |
| 27 |
|
Z.ai | 90.9 | — | 4 Sep 2026 |
| 28 |
|
Moonshot AI | 90.8 | 92 | 4 Sep 2026 |
| 29 |
|
OpenAI | 90.7 | 93 | 4 Sep 2026 |
| 30 |
|
Anthropic | 90.5 | — | 4 Sep 2026 |
| 31 |
|
Anthropic | 90.5 | 89 | 4 Sep 2026 |
| 32 |
|
Anthropic | 90.2 | 92 | 4 Sep 2026 |
| 33 |
|
Z.ai | 90.2 | — | 4 Sep 2026 |
| 34 |
|
Z.ai | 89.9 | 90 | 4 Sep 2026 |
| 35 |
|
Meta | 89.8 | — | 4 Sep 2026 |
| 36 |
|
89.4 | 83 | 4 Sep 2026 | |
| 37 |
|
xAI | 89.3 | — | 4 Sep 2026 |
| 38 |
|
xAI | 88.8 | — | 4 Sep 2026 |
| 39 |
|
Anthropic | 88.8 | — | 4 Sep 2026 |
| 40 | TM Thinking Machines: Inkling Small 💡 | Thinking Machines | 88.5 | — | 4 Sep 2026 |
| 41 |
|
Alibaba | 88.4 | 79 | 4 Sep 2026 |
| 42 | TM Thinking Machines: Inkling 💡 | Thinking Machines | 88.3 | — | 4 Sep 2026 |
| 43 |
|
Moonshot AI | 87.9 | — | 4 Sep 2026 |
| 44 |
|
Alibaba | 87.9 | — | 4 Sep 2026 |
| 45 |
|
Z.ai | 87.8 | 77 | 4 Sep 2026 |
| 46 |
|
OpenAI | 87.6 | 74 | 4 Sep 2026 |
| 47 |
|
Moonshot AI | 87.6 | — | 4 Sep 2026 |
| 48 |
|
Alibaba | 87.4 | 89 | 4 Sep 2026 |
| 49 |
|
Anthropic | 87.4 | 80 | 4 Sep 2026 |
| 50 |
|
xAI | 87.0 | 68 | 4 Sep 2026 |
| 51 |
|
OpenAI | 86.9 | — | 4 Sep 2026 |
| 52 |
|
86.4 | — | 4 Sep 2026 | |
| 53 |
|
Alibaba | 86.4 | — | 4 Sep 2026 |
| 54 |
|
OpenAI | 86.2 | 78 | 4 Sep 2026 |
| 55 |
|
Anthropic | 86.0 | 72 | 4 Sep 2026 |
| 56 |
|
Anthropic | 85.9 | — | 4 Sep 2026 |
| 57 |
|
Alibaba | 85.9 | — | 4 Sep 2026 |
| 58 |
|
Alibaba | 85.9 | — | 4 Sep 2026 |
| 59 |
|
85.9 | — | 4 Sep 2026 | |
| 60 |
|
Anthropic | 85.5 | — | 4 Sep 2026 |
| 61 |
|
NVIDIA | 85.4 | — | 4 Sep 2026 |
| 62 |
|
Anthropic | 85.4 | — | 4 Sep 2026 |
| 63 |
|
85.3 | 65 | 4 Sep 2026 | |
| 64 |
|
84.8 | — | 4 Sep 2026 | |
| 65 |
|
Alibaba | 84.8 | — | 4 Sep 2026 |
| 66 |
|
Alibaba | 84.8 | — | 4 Sep 2026 |
| 67 |
|
Alibaba | 84.8 | — | 4 Sep 2026 |
| 68 |
|
Moonshot AI | 84.2 | — | 4 Sep 2026 |
| 69 |
|
Alibaba | 83.8 | 66 | 4 Sep 2026 |
| 70 |
|
83.8 | — | 4 Sep 2026 | |
| 71 |
|
Alibaba | 83.5 | — | 4 Sep 2026 |
| 72 |
|
DeepSeek | 83.4 | — | 4 Sep 2026 |
| 73 |
|
83.3 | — | 4 Sep 2026 | |
| 74 |
|
Alibaba | 83.3 | — | 4 Sep 2026 |
| 75 |
|
Z.ai | 83.3 | 69 | 4 Sep 2026 |
| 76 |
|
OpenAI | 82.8 | — | 4 Sep 2026 |
| 77 |
|
OpenAI | 82.5 | — | 4 Sep 2026 |
| 78 |
|
Alibaba | 82.3 | — | 4 Sep 2026 |
| 79 |
|
Anthropic | 82.3 | — | 4 Sep 2026 |
| 80 |
|
Alibaba | 82.3 | — | 4 Sep 2026 |
| 81 |
|
81.8 | — | 4 Sep 2026 | |
| 82 |
|
OpenAI | 81.8 | 74 | 4 Sep 2026 |
| 83 |
|
Alibaba | 81.8 | — | 4 Sep 2026 |
| 84 |
|
Anthropic | 81.7 | 66 | 4 Sep 2026 |
| 85 |
|
MiniMax | 81.3 | — | 4 Sep 2026 |
| 86 |
|
Alibaba | 81.2 | — | 4 Sep 2026 |
| 87 |
|
Alibaba | 80.8 | — | 4 Sep 2026 |
| 88 |
|
Alibaba | 80.1 | — | 4 Sep 2026 |
| 89 |
|
OpenAI | 79.6 | — | 4 Sep 2026 |
| 90 |
|
Alibaba | 79.0 | 44 | 4 Sep 2026 |
| 91 |
|
Alibaba | 78.9 | — | 4 Sep 2026 |
| 92 |
|
Anthropic | 78.8 | — | 4 Sep 2026 |
| 93 |
|
Anthropic | 78.5 | — | 4 Sep 2026 |
| 94 |
|
OpenAI | 78.5 | — | 4 Sep 2026 |
| 95 |
|
Anthropic | 78.3 | — | 4 Sep 2026 |
| 96 |
|
Anthropic | 77.8 | — | 4 Sep 2026 |
| 97 |
|
Anthropic | 77.3 | — | 4 Sep 2026 |
| 98 |
|
OpenAI | 77.3 | — | 4 Sep 2026 |
| 99 |
|
OpenAI | 77.3 | — | 4 Sep 2026 |
| 100 |
|
OpenAI | 77.0 | 86 | 4 Sep 2026 |
| 101 |
|
OpenAI | 76.8 | 70 | 4 Sep 2026 |
| 102 |
|
Anthropic | 76.8 | — | 4 Sep 2026 |
| 103 |
|
Anthropic | 76.8 | 74 | 4 Sep 2026 |
| 104 |
|
Anthropic | 76.8 | — | 4 Sep 2026 |
| 105 |
|
DeepSeek | 76.3 | — | 4 Sep 2026 |
| 106 |
|
xAI | 76.3 | — | 4 Sep 2026 |
| 107 |
|
Anthropic | 76.3 | — | 4 Sep 2026 |
| 108 |
|
OpenAI | 75.8 | 62 | 4 Sep 2026 |
| 109 |
|
Anthropic | 75.8 | — | 4 Sep 2026 |
| 110 |
|
75.8 | — | 4 Sep 2026 | |
| 111 |
|
OpenAI | 75.0 | 67 | 4 Sep 2026 |
| 112 |
|
OpenAI | 74.7 | — | 4 Sep 2026 |
| 113 |
|
74.2 | — | 4 Sep 2026 | |
| 114 |
|
73.7 | — | 4 Sep 2026 | |
| 115 |
|
Anthropic | 73.2 | 50 | 4 Sep 2026 |
| 116 |
|
OpenAI | 73.2 | — | 4 Sep 2026 |
| 117 |
|
DeepSeek | 73.2 | — | 4 Sep 2026 |
| 118 |
|
73.2 | — | 4 Sep 2026 | |
| 119 |
|
Alibaba | 72.6 | — | 4 Sep 2026 |
| 120 |
|
OpenAI | 71.7 | — | 4 Sep 2026 |
| 121 |
|
OpenAI | 71.7 | — | 4 Sep 2026 |
| 122 |
|
Unknown | 71.5 | — | 4 Sep 2026 |
| 123 |
|
DeepSeek | 71.2 | 62 | 4 Sep 2026 |
| 124 |
|
Anthropic | 71.2 | 67 | 4 Sep 2026 |
| 125 |
|
Z.ai | 71.2 | — | 4 Sep 2026 |
| 126 |
|
Alibaba | 70.7 | — | 4 Sep 2026 |
| 127 |
|
Alibaba | 70.1 | — | 4 Sep 2026 |
| 128 |
|
OpenAI | 69.4 | 68 | 4 Sep 2026 |
| 129 |
|
DeepSeek | 69.2 | 75 | 4 Sep 2026 |
| 130 |
|
Anthropic | 69.2 | 68 | 4 Sep 2026 |
| 131 |
|
OpenAI | 68.7 | 54 | 4 Sep 2026 |
| 132 |
|
DeepSeek | 67.6 | 64 | 4 Sep 2026 |
| 133 |
|
xAI | 67.6 | — | 4 Sep 2026 |
| 134 |
|
Meta | 67.0 | — | 4 Sep 2026 |
| 135 |
|
OpenAI | 66.9 | 46 | 4 Sep 2026 |
| 136 |
|
66.7 | — | 4 Sep 2026 | |
| 137 |
|
OpenAI | 66.7 | — | 4 Sep 2026 |
| 138 |
|
OpenAI | 65.8 | — | 4 Sep 2026 |
| 139 |
|
Alibaba | 65.7 | — | 4 Sep 2026 |
| 140 |
|
65.7 | 74 | 4 Sep 2026 | |
| 141 |
|
Alibaba | 65.4 | — | 4 Sep 2026 |
| 142 |
|
Alibaba | 65.3 | 69 | 4 Sep 2026 |
| 143 | GD gemini-2.0-flash-001 | Google DeepMind,Google | 64.1 | 61 | 4 Sep 2026 |
| 144 |
|
DeepSeek | 64.1 | 53 | 4 Sep 2026 |
| 145 |
|
OpenAI | 64.1 | — | 4 Sep 2026 |
| 146 |
|
Alibaba | 63.8 | — | 4 Sep 2026 |
| 147 |
|
OpenAI | 63.6 | — | 4 Sep 2026 |
| 148 |
|
OpenAI | 62.4 | 65 | 4 Sep 2026 |
| 149 |
|
Alibaba | 61.7 | — | 4 Sep 2026 |
| 150 |
|
OpenAI | 60.8 | 42 | 4 Sep 2026 |
| 151 |
|
Z.ai | 60.5 | — | 4 Sep 2026 |
| 152 |
|
Mistral | 59.5 | — | 4 Sep 2026 |
| 153 |
|
57.2 | — | 4 Sep 2026 | |
| 154 | GD gemini-2.0-flash-thinking-exp-01-21 | Google DeepMind,Google | 57.1 | 62 | 4 Sep 2026 |
| 155 |
|
Alibaba | 56.8 | — | 4 Sep 2026 |
| 156 |
|
Alibaba | 56.1 | — | 4 Sep 2026 |
| 157 |
|
Microsoft | 56.1 | 41 | 4 Sep 2026 |
| 158 |
|
Mistral | 56.1 | — | 4 Sep 2026 |
| 159 |
|
DeepSeek | 55.7 | 63 | 4 Sep 2026 |
| 160 |
|
Alibaba | 55.6 | — | 4 Sep 2026 |
| 161 |
|
OpenAI | 55.6 | — | 4 Sep 2026 |
| 162 |
|
Anthropic | 55.3 | 45 | 4 Sep 2026 |
| 163 |
|
Alibaba | 54.1 | — | 4 Sep 2026 |
| 164 |
|
Anthropic | 54.0 | — | 4 Sep 2026 |
| 165 |
|
xAI | 53.8 | 45 | 4 Sep 2026 |
| 166 |
|
Alibaba | 53.4 | — | 4 Sep 2026 |
| 167 |
|
Alibaba | 52.3 | — | 4 Sep 2026 |
| 168 |
|
Meta | 51.8 | — | 4 Sep 2026 |
| 169 |
|
Mistral | 51.3 | 37 | 4 Sep 2026 |
| 170 |
|
Meta | 50.9 | — | 4 Sep 2026 |
| 171 |
|
Alibaba | 50.4 | — | 4 Sep 2026 |
| 172 |
|
OpenAI | 50.3 | — | 4 Sep 2026 |
| 173 |
|
OpenAI | 49.2 | 27 | 4 Sep 2026 |
| 174 |
|
Alibaba | 49.1 | — | 4 Sep 2026 |
| 175 |
|
Mistral | 49.1 | — | 4 Sep 2026 |
| 176 |
|
Mistral | 49.0 | — | 4 Sep 2026 |
| 177 |
|
OpenAI | 48.9 | — | 4 Sep 2026 |
| 178 |
|
OpenAI | 48.5 | — | 4 Sep 2026 |
| 179 |
|
Alibaba | 48.1 | — | 4 Sep 2026 |
| 180 |
|
47.7 | 47 | 4 Sep 2026 | |
| 181 |
|
Mistral | 47.6 | — | 4 Sep 2026 |
| 182 |
|
Mistral | 47.5 | 33 | 4 Sep 2026 |
| 183 |
|
Alibaba | 47.5 | — | 4 Sep 2026 |
| 184 |
|
Meta | 47.4 | 34 | 4 Sep 2026 |
| 185 |
|
47.3 | — | 4 Sep 2026 | |
| 186 |
|
Mistral | 47.3 | — | 4 Sep 2026 |
| 187 |
|
Anthropic | 47.2 | 32 | 4 Sep 2026 |
| 188 |
|
OpenAI | 46.6 | — | 4 Sep 2026 |
| 189 | AI Llama-3.1-Tulu-3-70B-DPO | Allen Institute for AI,University of Washington | 46.3 | — | 4 Sep 2026 |
| 190 |
|
Alibaba | 46.1 | — | 4 Sep 2026 |
| 191 |
|
45.9 | — | 4 Sep 2026 | |
| 192 |
|
Unknown | 45.8 | — | 4 Sep 2026 |
| 193 |
|
Mistral | 45.3 | 31 | 4 Sep 2026 |
| 194 |
|
Unknown | 45.1 | — | 4 Sep 2026 |
| 195 |
|
DeepSeek | 44.7 | — | 4 Sep 2026 |
| 196 |
|
Meta | 44.2 | — | 4 Sep 2026 |
| 197 |
|
Alibaba | 43.6 | — | 4 Sep 2026 |
| 198 |
|
Microsoft | 43.4 | — | 4 Sep 2026 |
| 199 |
|
OpenAI | 42.4 | — | 4 Sep 2026 |
| 200 |
|
OpenAI | 42.3 | — | 4 Sep 2026 |
| 201 |
|
Mistral | 41.9 | — | 4 Sep 2026 |
| 202 |
|
Alibaba | 41.8 | — | 4 Sep 2026 |
| 203 |
|
Meta | 41.0 | — | 4 Sep 2026 |
| 204 |
|
Alibaba | 40.8 | — | 4 Sep 2026 |
| 205 |
|
Anthropic | 40.6 | — | 4 Sep 2026 |
| 206 |
|
Meta | 40.6 | — | 4 Sep 2026 |
| 207 |
|
40.4 | — | 4 Sep 2026 | |
| 208 |
|
39.5 | — | 4 Sep 2026 | |
| 209 |
|
Mistral | 38.8 | — | 4 Sep 2026 |
| 210 |
|
Anthropic | 38.1 | 30 | 4 Sep 2026 |
| 211 |
|
Alibaba | 38.0 | — | 4 Sep 2026 |
| 212 |
|
OpenAI | 37.7 | 31 | 4 Sep 2026 |
| 213 | NR Hermes-2-Theta-Llama-3-70B | Nous Research,Arcee AI | 37.5 | — | 4 Sep 2026 |
| 214 |
|
36.5 | 21 | 4 Sep 2026 | |
| 215 |
|
Anthropic | 36.3 | — | 4 Sep 2026 |
| 216 |
|
OpenAI | 35.7 | — | 4 Sep 2026 |
| 217 |
|
Alibaba | 35.5 | — | 4 Sep 2026 |
| 218 |
|
Anthropic | 34.7 | — | 4 Sep 2026 |
| 219 |
|
Mistral | 34.1 | — | 4 Sep 2026 |
| 220 |
|
34.0 | — | 4 Sep 2026 | |
| 221 | TU Eurus-2-7B-PRIME | Tsinghua University,University of Illinois Urbana-Champaign (UIUC),Shanghai AI Lab,Peking University,Shanghai Jiao Tong University,CUHK Shenzhen Research Institute | 33.9 | — | 4 Sep 2026 |
| 222 |
|
DeepSeek | 33.6 | — | 4 Sep 2026 |
| 223 |
|
33.0 | — | 4 Sep 2026 | |
| 224 |
|
Anthropic | 33.0 | — | 4 Sep 2026 |
| 225 | Da dbrx-instruct | Databricks | 32.9 | — | 4 Sep 2026 |
| 226 | 0A Yi-1.5-34B-Chat | 01.AI | 32.0 | — | 4 Sep 2026 |
| 227 |
|
Alibaba | 30.7 | — | 4 Sep 2026 |
| 228 |
|
OpenAI | 30.7 | — | 4 Sep 2026 |
| 229 |
|
Alibaba | 30.6 | — | 4 Sep 2026 |
| 230 |
|
Mistral | 30.6 | — | 4 Sep 2026 |
| 231 |
|
Mistral | 29.9 | — | 4 Sep 2026 |
| 232 |
|
Mistral | 29.8 | — | 4 Sep 2026 |
| 233 |
|
Alibaba | 28.8 | — | 4 Sep 2026 |
| 234 |
|
IBM | 28.3 | — | 4 Sep 2026 |
| 235 |
|
OpenAI | 28.0 | — | 4 Sep 2026 |
| 236 |
|
Microsoft | 27.6 | — | 4 Sep 2026 |
| 237 |
|
27.5 | 13 | 4 Sep 2026 | |
| 238 |
|
OpenAI | 27.2 | — | 4 Sep 2026 |
| 239 |
|
Mistral | 27.1 | — | 4 Sep 2026 |
| 240 |
|
Meta | 27.0 | — | 4 Sep 2026 |
| 241 |
|
Meta | 26.3 | — | 4 Sep 2026 |
| 242 |
|
Meta | 26.1 | — | 4 Sep 2026 |
| 243 |
|
Mistral | 25.3 | — | 4 Sep 2026 |
| 244 |
|
DeepSeek | 24.6 | — | 4 Sep 2026 |
| 245 |
|
Unknown | 24.0 | — | 4 Sep 2026 |
| 246 |
|
Meta | 23.9 | — | 4 Sep 2026 |
| 247 |
|
23.2 | — | 4 Sep 2026 | |
| 248 |
|
19.9 | — | 4 Sep 2026 | |
| 249 |
|
Mistral | 15.2 | — | 4 Sep 2026 |
| 250 | 0A Yi-34B-Chat | 01.AI | 14.7 | — | 4 Sep 2026 |
| 251 |
|
Mistral | 13.2 | — | 4 Sep 2026 |
| 252 |
|
Unknown | 11.2 | — | 4 Sep 2026 |
| 253 |
|
Unknown | 9.3 | — | 4 Sep 2026 |
The Known Good
Provenance. These figures are published by Epoch AI and redistributed here under CC-BY 4.0.
The publisher's own page is here. We did not run this evaluation and we do not adjust the published numbers — where a score feeds an index it is
min-max normalised against every other model holding the same evaluation, and nothing else is done to it.
This evaluation is one of the seven components of the
Known Good Index. Full licence detail is on attribution, and every score here is
in the CSV download.