Kaggle Open Benchmarks - MMLU: leaderboard

Accuracy on MMLU, four-option multiple-choice questions across 57 subjects from elementary mathematics to law and medicine. Kaggle's standardized re-run on its own harness under the open-benchmarks organization, not the original authors' leaderboard; Kaggle's fraction is shown as a percentage (0-100, higher is better). Guessing scores about 25; frontier models are near the ceiling.

Metric: Accuracy (%). Source: www.kaggle.com. Saturation forecast: Estimated already saturated. 59 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon95.25#9
2Grok 4.594.54#54
3Gemini 3.7 Flash94.52#24
4Gemini 3.8 Flash94.42#30
5Gemini 3.6 Flash94.17#57
6Claude Opus 594.16#16
7GPT-6 Astra94.14#6
8Grok 4.693.97#29
9GPT-6 Sol93.94#19
10Gemini 3 Pro (Preview)93.86#71
11GPT-6.1 Sol93.83#7
12Gemini 3.5 Flash93.6#66
13GPT-593.48#105
14Claude Opus 4.193.39#146
15GPT-5.6 Terra93.3#40

No result here: #3 Claude Opus 5.5, #10 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=kaggle-open-benchmarks-mmlu · How It Works · Data refreshed daily, snapshot 2026-11-05.