MERA - ruHHH: leaderboard
Metric: Accuracy (%). Source: mera.a-ai.ru. 630 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.6 27B | 93.82 |
| 2 | Kimi K2.5 | 92.13 |
| 3 | Claude Opus 4.6 | 91.57 |
| 4 | GLM-5.1 | 91.57 |
| 5 | Nova Pro 1.0 | 91.57 |
| 6 | Qwen 3.5 27B | 91.01 |
| 7 | Qwen 3.5 122B A10B | 91.01 |
| 8 | Gemma 4 31B (IT) | 90.45 |
| 9 | GPT-5.4 | 89.33 |
| 10 | Qwen 3.6 35B A3B | 89.33 |
| 11 | Qwen 3 235B A22B 2507 (Thinking) | 89.33 |
| 12 | Mixtral 8x22B Instruct (v0.1) | 89.33 |
| 13 | GPT-5.2 | 88.76 |
| 14 | Qwen 3 30B A3B 2507 (Thinking) | 88.76 |
| 15 | Qwen 3 14B | 88.2 |
Interactive version: theaggregate.ai/benchmark?slug=mera-ruhhh · How It Works · Data refreshed daily, snapshot 2026-09-05.