Subject · tested 27 Oct 2026

Best AI models for science

Scores on the 30 science questions in the suite (22 from SuperGPQA, 8 from MMLU-Pro). That is a small sample: the bars show each score's 95% interval, and overlapping bars mean the models can't be told apart.

Questions30of 80 in the suite
Top score28/30GPT-5.3-Codex, Claude Opus 5.5
Tied with the leader41overlapping 95% intervals
Median score70.0%of 72 models

Science: score by model

30 questions · the bar shows each score's 95% interval

Science leaderboard
#ModelCorrectScore95% interval
1GPT-5.3-CodexOpenAI28 / 3093.3%79–98%
1Claude Opus 5.5Anthropic · statistically tied with #128 / 3093.3%79–98%
3Grok 4.7SpaceXAI · statistically tied with #127 / 3090.0%74–97%
3GPT-6.1 SolOpenAI · statistically tied with #127 / 3090.0%74–97%
3GPT-6 SolOpenAI · statistically tied with #127 / 3090.0%74–97%
6GPT-6 AstraOpenAI · statistically tied with #126 / 3086.7%70–95%
6Muse WonderMeta · statistically tied with #126 / 3086.7%70–95%
6GPT-5.6 TerraOpenAI · statistically tied with #126 / 3086.7%70–95%
6GPT-6.1 TerraOpenAI · statistically tied with #126 / 3086.7%70–95%
6GPT-6.1 Terra ProOpenAI · statistically tied with #126 / 3086.7%70–95%
6Gemini 3.1 Pro PreviewGoogle · statistically tied with #126 / 3086.7%70–95%
6Gemini 3.8 FlashGoogle · statistically tied with #126 / 3086.7%70–95%
6DeepSeek V4.1 Flash 1017DeepSeek · statistically tied with #126 / 3086.7%70–95%
6Kimi K3.1 ProMoonshotAI · statistically tied with #126 / 3086.7%70–95%
15Claude Fable 5.1Anthropic · statistically tied with #125 / 3083.3%66–93%
15DeepSeek V4 Flash Vision ExpDeepSeek · statistically tied with #125 / 3083.3%66–93%
15DeepSeek V4 Pro 0813DeepSeek · statistically tied with #125 / 3083.3%66–93%
15Muse Spark OpenMeta · statistically tied with #125 / 3083.3%66–93%
15Gemini 4 ArgonGoogle · statistically tied with #125 / 3083.3%66–93%
15GPT-5.4OpenAI · statistically tied with #125 / 3083.3%66–93%
15GPT-6 LunaOpenAI · statistically tied with #125 / 3083.3%66–93%
15MiniMax M3.1 FlashMiniMax · statistically tied with #125 / 3083.3%66–93%
23Step 5 PreviewStepFun · statistically tied with #124 / 3080.0%63–90%
23MiniMax M3MiniMax · statistically tied with #124 / 3080.0%63–90%
23Inkling SmallThinking Machines · statistically tied with #124 / 3080.0%63–90%
23Qwen3.8 Max (0902)Qwen · statistically tied with #124 / 3080.0%63–90%
23Claude Sonnet 5.5Anthropic · statistically tied with #124 / 3080.0%63–90%
28o3OpenAI · statistically tied with #123 / 3076.7%59–88%
28Gemini 3.5 Flash LiteGoogle · statistically tied with #123 / 3076.7%59–88%
28Claude Haiku 5.5Anthropic · statistically tied with #123 / 3076.7%59–88%
28gpt-oss-120bOpenAI · statistically tied with #123 / 3076.7%59–88%
32Kimi K2.7 CodeMoonshotAI · statistically tied with #122 / 3073.3%56–86%
32GLM 5.3 FlashZ.ai · statistically tied with #122 / 3073.3%56–86%
32Nemotron 3 UltraNVIDIA · statistically tied with #122 / 3073.3%56–86%
32MiMo-V2.6-ProXiaomi · statistically tied with #122 / 3073.3%56–86%
36InklingThinking Machines · statistically tied with #121 / 3070.0%52–83%
36Qwen3.8 2.4T A95BQwen · statistically tied with #121 / 3070.0%52–83%
36Qwen3.8 27BQwen · statistically tied with #121 / 3070.0%52–83%
39MiMo-V2.6-FlashXiaomi · statistically tied with #120 / 3066.7%49–81%
39Hy3Tencent · statistically tied with #120 / 3066.7%49–81%
39Mistral Large 4Mistral · statistically tied with #120 / 3066.7%49–81%
39GLM 5.3Z.ai · statistically tied with #120 / 3066.7%49–81%
43Qwen3.7 PlusQwen19 / 3063.3%46–78%
43Mercury 2.5Inception19 / 3063.3%46–78%
43Qwen3 Coder NextQwen19 / 3063.3%46–78%
46gpt-oss-20bOpenAI18 / 3060.0%42–75%
46Solar Pro 4Upstage18 / 3060.0%42–75%
46LongCat 2.0Meituan18 / 3060.0%42–75%
46Llama 4 MaverickMeta18 / 3060.0%42–75%
50Ling 3.1 FlashinclusionAI16 / 3053.3%36–70%
50Solar Mini 4Upstage16 / 3053.3%36–70%
52Nemotron 3.5 LightningNVIDIA14 / 3046.7%30–64%
53Llama 4 ScoutMeta13 / 3043.3%27–61%
53Nemotron 3.5 Super VLNVIDIA13 / 3043.3%27–61%
53Granite 4.2 8BIBM13 / 3043.3%27–61%
56Command ACohere12 / 3040.0%25–58%
56Phi 4Microsoft12 / 3040.0%25–58%
58Gemma 4 31BGoogle11 / 3036.7%22–54%
58Llama 3.3 70B InstructMeta11 / 3036.7%22–54%
60Qwen3.5 397B A17BQwen10 / 3033.3%19–51%
60Ministral 3 8B 2512Mistral10 / 3033.3%19–51%
62Qwen3.6 35B A3BQwen9 / 3030.0%17–48%
63Ministral 3 14B 2512Mistral8 / 3026.7%14–44%
64Granite 4.0 MicroIBM7 / 3023.3%12–41%
64Mistral Small 4Mistral7 / 3023.3%12–41%
66Trinity Large ThinkingArcee AI6 / 3020.0%10–37%
67Mistral Medium 3.5Mistral5 / 3016.7%7–34%
67Hermes 4 405BNous5 / 3016.7%7–34%
67Ministral 3 3B 2512Mistral5 / 3016.7%7–34%
70Gemma 4 26B A4BGoogle4 / 3013.3%5–30%
71Nova Micro 1.0Amazon3 / 3010.0%3–26%
72Reka Flash 3rekaai0 / 300.0%0–11%

How hard are these questions?

Questions by the share of 72 scored models that got them right

  1. 1No model right2 questions
  2. 2Under 25% of models2 questions
  3. 325–50% of models4 questions
  4. 450–75% of models9 questions
  5. 575% or more, not all13 questions
  6. 6Every model right0 questions

Engineering →Medicine →Economics →Law →Humanities & social science →

Science: frequently asked questions

Which AI model is best at science?
GPT-5.3-Codex and Claude Opus 5.5 answered the most science questions correctly: 28 of 30. With only 30 questions, 41 other models are statistically tied with the leader, so treat this ranking as a rough guide.
Where do the science questions come from?
22 from SuperGPQA (ODC-BY 1.0) and 8 from MMLU-Pro (MIT). Every question is multiple choice with ten options and one correct answer.
How hard are the science questions?
2 of the 30 questions were answered correctly by none of the 72 scored models, and 0 by all of them.