Kaggle Global-MMLU-Lite - Bengali: leaderboard

Accuracy on the Bengali 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 4 Argon96#9
2Claude Opus 4.895.75#39
3Claude Opus 595#16
4Gemini 3.5 Flash94.75#66
5Claude Opus 5.594.75#3
6Gemini 3 Pro (Preview)94.25#71
7Gemini 3.7 Flash94.25#24
8GPT-6 Sol94.25#19
9Claude Opus 4.194.25#146
10Gemini 3.8 Flash94#30
11Grok 4.594#54
12GPT-5.6 Sol93.5#22
13Gemini 3.6 Flash93#57
14Gemini 2.5 Pro92.75#159
15Claude Sonnet 5.591.75#14

No result here: #10 Claude Fable 5.1.

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