Kaggle Global-MMLU-Lite - Chinese: leaderboard

Accuracy on the Chinese 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 597.25#16
2Gemini 3.8 Flash96.75#30
3Gemini 3.7 Flash96.5#24
4GPT-6 Astra95.75#6
5GPT-5.6 Sol95.5#22
6Claude Opus 5.595.5#3
7Gemini 3.5 Flash95.25#66
8Gemini 3.6 Flash95#57
9Gemini 4 Argon95#9
10Gemini 3 Pro (Preview)94.75#71
11Claude Opus 4.894.5#39
12Claude Opus 4.194.5#146
13GPT-6 Sol94#19
14GPT-6 Luna93.75#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-chinese · How It Works · Data refreshed daily, snapshot 2026-11-05.