MERA - ruHateSpeech: leaderboard
Metric: Accuracy (%). Source: mera.a-ai.ru. 630 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 94.72 |
| 2 | GLM-5.1 | 93.96 |
| 3 | Qwen 3.6 27B | 93.21 |
| 4 | Qwen 3.5 27B | 92.83 |
| 5 | Qwen 3.5 122B A10B | 92.83 |
| 6 | Qwen 3 235B A22B 2507 (Thinking) | 92.83 |
| 7 | Qwen 3.6 35B A3B | 92.08 |
| 8 | Qwen 3 30B A3B 2507 (Thinking) | 92.08 |
| 9 | Claude Opus 4.6 | 91.32 |
| 10 | Kimi K2.5 | 90.94 |
| 11 | GPT-5.2 | 90.57 |
| 12 | Qwen 3 32B | 90.19 |
| 13 | Claude Opus 4.5 | 90.19 |
| 14 | Qwen 3.5 35B A3B | 89.81 |
| 15 | Qwen 3 14B | 88.68 |
Interactive version: theaggregate.ai/benchmark?slug=mera-ruhatespeech · How It Works · Data refreshed daily, snapshot 2026-09-05.