MERA - ruMMLU: leaderboard
Metric: Accuracy (%). Source: mera.a-ai.ru. 631 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.6 | 92.46 |
| 2 | GPT-5.4 | 91.85 |
| 3 | GLM-5.1 | 90.67 |
| 4 | Claude Opus 4.5 | 90.1 |
| 5 | Qwen 3.5 27B | 89.05 |
| 6 | Kimi K2.5 | 88.92 |
| 7 | Qwen 3.5 122B A10B | 88.66 |
| 8 | Qwen 3.6 27B | 88.57 |
| 9 | GPT-5.2 | 88.21 |
| 10 | Qwen 3.6 35B A3B | 87.17 |
| 11 | Qwen 3.5 35B A3B | 86.68 |
| 12 | Qwen 3 235B A22B 2507 (Thinking) | 86.08 |
| 13 | MiniMax-M2.7 | 84.53 |
| 14 | Claude 3.7 Sonnet | 84.48 |
| 15 | Gemma 4 31B (IT) | 82.79 |
Interactive version: theaggregate.ai/benchmark?slug=mera-rummlu · How It Works · Data refreshed daily, snapshot 2026-09-05.