Multilingual MMLU - Japanese — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.5 Sonnet | 79.43 |
| 2 | Qwen 2.5 72B Instruct | 74.65 |
| 3 | Qwen 2 72B Instruct | 74.05 |
| 4 | Llama 3.1 70B Instruct | 73.79 |
| 5 | Llama 3 70B Instruct | 65.55 |
| 6 | GPT-4o Mini | 64.41 |
| 7 | aya-expanse-32B | 64.34 |
| 8 | Qwen 2.5 7B Instruct | 60.75 |
| 9 | Qwen 2 7B Instruct | 56.55 |
| 10 | aya-23-35B | 54.53 |
| 11 | Llama 3.1 8B Instruct | 52.07 |
| 12 | aya-expanse-8B | 51.49 |
| 13 | aya-23-8B | 44.57 |
| 14 | Llama 3 8B Instruct | 42.31 |
Interactive version: theaggregate.ai/benchmark?slug=multilingual-mmlu-japanese · How the rankings work · Data refreshed daily, snapshot 2026-07-22.