Multilingual MMLU Leaderboard — leaderboard
Multilingual MMLU evaluation averaging translated MMLU-style accuracy across many non-English languages.
Metric: Average Accuracy (%). Source: huggingface.co. Status: saturated. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.5 Sonnet | 77.39 |
| 2 | Llama 3.1 70B Instruct | 71.67 |
| 3 | Qwen 2 72B Instruct | 69.15 |
| 4 | Qwen 2.5 72B Instruct | 69.05 |
| 5 | Llama 3 70B Instruct | 64.3 |
| 6 | GPT-4o Mini | 62.63 |
| 7 | aya-expanse-32B | 58.92 |
| 8 | Qwen 2.5 7B Instruct | 56.08 |
| 9 | Qwen 2 7B Instruct | 51.95 |
| 10 | aya-23-35B | 50.13 |
| 11 | Llama 3.1 8B Instruct | 50.01 |
| 12 | aya-expanse-8B | 48.2 |
| 13 | Llama 3 8B Instruct | 46.57 |
| 14 | aya-23-8B | 40.96 |
Interactive version: theaggregate.ai/benchmark?slug=multilingual-mmlu-leaderboard · How the rankings work · Data refreshed daily, snapshot 2026-07-22.