MERA Code - CodeCorrectness: leaderboard
Metric: Accuracy (%). Source: mera.a-ai.ru. 66 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 94.27 |
| 2 | GPT-5.1 Codex Max | 91.33 |
| 3 | Kimi K2.5 | 89.64 |
| 4 | Qwen 3.6 27B | 87.44 |
| 5 | GLM-5.1 | 86.77 |
| 6 | Claude Opus 4.6 | 85.89 |
| 7 | Qwen 3.6 35B A3B | 84.94 |
| 8 | LFM2.5-1.2B Instruct | 84.5 |
| 9 | Qwen 3 32B | 84.13 |
| 10 | Qwen 2.5 1.5B Instruct | 83.69 |
| 11 | Qwen 3 30B A3B 2507 (Thinking) | 82.95 |
| 12 | Qwen 2.5 0.5B Instruct | 82.73 |
| 13 | LFM2 8B A1B | 82.59 |
| 14 | OLMo 3 7B Instruct | 81.56 |
| 15 | LFM2 24B A2B | 81.26 |
Interactive version: theaggregate.ai/benchmark?slug=mera-code-codecorrectness · How It Works · Data refreshed daily, snapshot 2026-09-05.