Kaggle Global-MMLU-Lite - Arabic: leaderboard

Accuracy on the Arabic 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
1Gemini 3.5 Flash96#66
2Claude Opus 4.895.73#39
3Claude Opus 5.595.5#3
4Gemini 3.8 Flash95.25#30
5Claude Opus 595#16
6Gemini 2.5 Pro94.75#159
7Gemini 3 Pro (Preview)94.75#71
8Gemini 4 Argon94.75#9
9Gemini 3.7 Flash94.5#24
10Claude Opus 4.194.5#146
11Gemini 3.6 Flash94.25#57
12GPT-5.6 Sol93.75#22
13GPT-6 Sol93.5#19
14Claude Sonnet 5.593#14
15GPT-5.6 Terra92.5#40

No result here: #10 Claude Fable 5.1.

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