MERA - RCB: leaderboard
Metric: Accuracy (%). Source: mera.a-ai.ru. 631 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.6 | 63.24 |
| 2 | GLM-5.1 | 63.24 |
| 3 | Gemma 4 31B (IT) | 61.42 |
| 4 | Qwen 3 235B A22B 2507 (Thinking) | 61.19 |
| 5 | Mixtral 8x22B Instruct (v0.1) | 61.19 |
| 6 | Qwen 3.5 27B | 60.5 |
| 7 | Qwen 3.6 27B | 60.5 |
| 8 | Llama 3.1 405B Instruct | 60.5 |
| 9 | Nova Pro 1.0 | 60.5 |
| 10 | Kimi K2.5 | 60.27 |
| 11 | Qwen 3.5 122B A10B | 60.27 |
| 12 | Qwen 3.6 35B A3B | 60.05 |
| 13 | Qwen 3 30B A3B 2507 (Thinking) | 60.05 |
| 14 | Llama 3.1 70B Instruct | 59.82 |
| 15 | Gemini 1.5 Pro | 59.82 |
Interactive version: theaggregate.ai/benchmark?slug=mera-rcb · How It Works · Data refreshed daily, snapshot 2026-09-05.