Kaggle Global-MMLU-Lite - Culturally Sensitive: leaderboard

Accuracy on the culturally sensitive questions of Cohere Labs' Global-MMLU-Lite leaderboard on Kaggle, pooled over its 16 languages; these questions need region- or culture-specific knowledge. Global-MMLU-Lite is an MMLU-derived multilingual multiple-choice set. 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 595.44#16
2Gemini 3.8 Flash95.19#30
3Claude Opus 5.595.19#3
4Gemini 4 Argon94.84#9
5Gemini 3.7 Flash94.72#24
6Gemini 3.5 Flash94.47#66
7GPT-5.6 Sol94.31#22
8Gemini 3 Pro (Preview)93.97#71
9Gemini 3.6 Flash93.94#57
10Claude Opus 4.893.87#39
11GPT-6 Sol93.78#19
12Grok 4.593.39#54
13Claude Opus 4.193.31#146
14GPT-5.6 Terra93#40
15GPT-6 Astra92.91#6

No result here: #10 Claude Fable 5.1.

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