Global-MMLU-Lite: leaderboard

Lightweight multilingual MMLU benchmark from Cohere Labs and Kaggle for comparing knowledge performance across languages with reduced evaluation cost.

Metric: Accuracy (%). Source: artificialanalysis.ai. Status: saturation imminent. 112 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)93.17
2Gemini 3 Pro (Preview) (High)92.22
3Claude Opus 4.6 (Adaptive Reasoning, Max Effort)92.15
4Gemini 3 Flash (Preview) (Reasoning)91.44
5Claude Opus 4.5 (Thinking)91.28
6GPT-5 (High)90.67
7Claude Opus 4.5 (Non-reasoning)90.59
8GPT-5.1 (High)90.56
9Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)90.48
10GPT-5 (Medium)90.39
11Gemini 2.5 Pro90.31
12Qwen 3.5 397B A17B (Reasoning)90.04
13GPT-5.2 (Medium)89.76
14GPT-5.1 Codex (High)89.7
15Grok 489.49

Interactive version: theaggregate.ai/benchmark?slug=global-mmlu-lite · How It Works · Data refreshed daily, snapshot 2026-09-05.