MMErroR: leaderboard
Metric: Error Type Classification Accuracy (%). Source: arxiv.org. Saturation forecast: Around March 2027. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 66.65 |
| 2 | Seed 2.0 Pro | 64.8 |
| 3 | GPT-5.2 (xHigh) | 64.3 |
| 4 | Claude Opus 4.5 | 61.04 |
| 5 | Grok 4 | 60.19 |
| 6 | Kimi K2.5 | 60.19 |
| 7 | Qwen 3 VL 32B (Thinking) | 59.29 |
| 8 | GLM-4.6V | 50.23 |
| 9 | Qwen 3 VL 32B Instruct | 43.01 |
| 10 | Llama 4 Maverick Instruct | 39.46 |
| 11 | Llama 4 Scout Instruct | 39.06 |
Interactive version: theaggregate.ai/benchmark?slug=mmerror · How It Works · Data refreshed daily, snapshot 2026-09-25.