MMPCBench - Error Detection Accuracy: leaderboard
Metric: Accuracy (%; flaw flagged without prompting). Source: arxiv.org. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 235B A22B Instruct | 60 |
| 2 | Qwen 3 VL 30B A3B Instruct | 55 |
| 3 | Qwen 3 VL 8B Instruct | 53.3 |
| 4 | Claude Sonnet 4.5 (Thinking) | 40.2 |
| 5 | Gemini 3 Pro | 37.4 |
| 6 | Gemini 3 Flash | 32.3 |
| 7 | GPT-5.1 (High) | 31.7 |
| 8 | GPT-5.2 | 28.2 |
| 9 | Gemma 3 12B (IT) | 27 |
| 10 | Gemma 3 27B (IT) | 25.9 |
| 11 | GPT-5 Mini | 24.8 |
| 12 | Gemma 3 4B (IT) | 18.6 |
| 13 | GLM-4.6V | 16 |
Interactive version: theaggregate.ai/benchmark?slug=mmpcbench-error-detection-accuracy · How It Works · Data refreshed daily, snapshot 2026-09-19.