Kaggle Global-MMLU-Lite - Indonesian: leaderboard

Accuracy on the Indonesian 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 596.75#16
2Gemini 3.5 Flash95.99#66
3Gemini 3 Pro (Preview)95.5#71
4Gemini 3.8 Flash95.5#30
5Gemini 3.6 Flash95.25#57
6Claude Opus 5.595.25#3
7Gemini 3.7 Flash95.25#24
8Claude Opus 4.895#39
9GPT-5.6 Terra94.75#40
10Gemini 4 Argon94.75#9
11GPT-5.6 Sol94.5#22
12Claude Opus 4.194.25#146
13Claude Sonnet 5.593.75#14
14GPT-6 Sol93.25#19
15Gemini 2.5 Pro92.5#159

No result here: #10 Claude Fable 5.1.

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