Vellum - MMMLU — leaderboard
Vellum's independently-run Multilingual MMLU evaluation. Knowledge questions across multiple languages.
Metric: Accuracy (%). Source: www.vellum.ai. Status: saturated. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 91.8 |
| 2 | Claude Opus 4.6 | 91.1 |
| 3 | Claude Opus 4.5 | 90.8 |
| 4 | Claude Opus 4.1 | 89.5 |
| 5 | Claude Sonnet 4.6 | 89.3 |
| 6 | Gemini 2.5 Pro | 89.2 |
| 7 | Claude Sonnet 4.5 | 89.1 |
| 8 | Claude Opus 4 | 88.8 |
| 9 | O1 | 87.7 |
| 10 | GPT-4.1 | 87.3 |
| 11 | Claude Sonnet 4 | 86.5 |
| 12 | Claude 3.7 Sonnet (Thinking) | 86.1 |
| 13 | GPT-4.5 | 85.1 |
| 14 | Llama 4 Maverick | 84.6 |
| 15 | Claude 3.7 Sonnet | 83.2 |
Interactive version: theaggregate.ai/benchmark?slug=vellum-mmmlu · How the rankings work · Data refreshed daily, snapshot 2026-07-22.