Kaggle Global-MMLU-Lite - Hindi: leaderboard

Accuracy on the Hindi 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 595.5#16
2Gemini 3.8 Flash95.5#30
3Gemini 4 Argon95.5#9
4Gemini 3.7 Flash95.25#24
5GPT-6 Sol95.25#19
6Claude Opus 4.895#39
7Gemini 3.6 Flash95#57
8Claude Opus 5.594.75#3
9Claude Opus 4.194.75#146
10Gemini 3 Pro (Preview)94.25#71
11Gemini 3.5 Flash94.25#66
12Grok 4.594.25#54
13GPT-5.6 Sol93.75#22
14Gemini 2.5 Pro92.75#159
15Gemini 2.5 Flash92.5#255

No result here: #10 Claude Fable 5.1.

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