Kaggle Global-MMLU-Lite - French: leaderboard

Accuracy on the French questions (400 on this board) of Cohere Labs' Global-MMLU-Lite leaderboard on Kaggle, an MMLU-derived multilingual multiple-choice set with culturally sensitive and culturally agnostic questions. Shown as 0-100, higher is better; four answer options, so guessing scores about 25.

Metric: Accuracy (%). Source: www.kaggle.com. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 596.25#16
2Claude Opus 5.596.25#3
3Gemini 3 Pro (Preview)95.75#71
4Gemini 3.5 Flash95.75#66
5Gemini 3.7 Flash95.75#24
6Gemini 3.8 Flash95.5#30
7Gemini 4 Argon95.25#9
8GPT-6 Sol95#19
9GPT-5.6 Sol94.75#22
10Grok 4.594.75#54
11Claude Opus 4.194.5#146
12Gemini 2.5 Pro94.25#159
13Claude Opus 4.894.25#39
14GPT-6 Luna94#61
15Claude Sonnet 5.593.75#14

No result here: #10 Claude Fable 5.1.

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