AA Global-MMLU-Lite - Japanese — leaderboard
Metric: Accuracy (%). Source: artificialanalysis.ai. 116 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 93.67 |
| 2 | Gemini 3 Pro (Preview) (High) | 93.17 |
| 3 | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | 93.08 |
| 4 | Claude Opus 4.5 (Thinking) | 92.58 |
| 5 | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | 92.58 |
| 6 | Claude Opus 4.5 (Non-reasoning) | 91.67 |
| 7 | GPT-5.1 (High) | 91.58 |
| 8 | GPT-5.1 Codex (High) | 91.08 |
| 9 | Gemini 2.5 Pro | 91 |
| 10 | GPT-5 (High) | 90.92 |
| 11 | GPT-5.2 (Medium) | 90.75 |
| 12 | Claude Sonnet 4.5 (Thinking) | 90.67 |
| 13 | GPT-5 (Medium) | 90.67 |
| 14 | Qwen 3.5 122B A10B (Reasoning) | 90.42 |
| 15 | GPT-5.4 Mini (xHigh) | 89.92 |
Interactive version: theaggregate.ai/benchmark?slug=aa-global-mmlu-lite-japanese · How the rankings work · Data refreshed daily, snapshot 2026-07-22.