Global-MMLU-Lite
A lightweight version of Global MMLU benchmark that evaluates language models across multiple languages while addressing cultural and linguistic biases in multilingual evaluation.
Gemini 2.5 Pro Preview 06-05 from Google currently leads the Global-MMLU-Lite leaderboard with a score of 0.892 across 14 evaluated AI models.
Gemini 2.5 Pro Preview 06-05 leads with 89.2%, followed by Gemini 2.5 Pro at 88.6% and Gemini 2.5 Flash at 88.4%.
Progress Over Time
Interactive timeline showing model performance evolution on Global-MMLU-Lite
Global-MMLU-Lite Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | — | 1.0M | $1.25 / $10.00 | |||
| 2 | Google | — | 1.0M | $1.25 / $10.00 | ||
| 3 | Google | — | 1.0M | $0.30 / $2.50 | ||
| 4 | Google | — | 1.0M | $0.10 / $0.40 | ||
| 5 | Google | — | 1.0M | $0.07 / $0.30 | ||
| 6 | Google | 27B | 131K | $0.10 / $0.20 | ||
| 7 | Google | 12B | 131K | $0.05 / $0.10 | ||
| 8 | Google | — | — | — | ||
| 9 | 2B | — | — | |||
| 9 | Google | 8B | 32K | $20.00 / $40.00 | ||
| 11 | Google | 8B | — | — | ||
| 11 | 2B | — | — | |||
| 13 | Google | 4B | 131K | $0.02 / $0.04 | ||
| 14 | Google | 1B | — | — |
FAQ
Common questions about Global-MMLU-Lite.
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