MMErroR - Error Type Classification - Mathematics & Logic: leaderboard

MMErroR (Shi et al., ACL 2026) error type classification on its Mathematics & Logic samples: naming which of four error types (visual perception, knowledge deployment, question comprehension, reasoning) the single injected error in an image-grounded reasoning chain belongs to. Accuracy (%); higher is better.

Metric: Error Type Classification Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)66.37#111
2Seed 2.0 Pro65.47#209
3GPT-5.2 (xHigh)64.56#172 (GPT-5.2)
4Kimi K2.563.66#252
5Claude Opus 4.562.76#152
6Grok 461.56#306
7Qwen 3 VL 32B (Thinking)59.46#557
8Qwen-VL-Max53.45#1226
9GLM-4.6V51.05#698
10Qwen 3 VL 32B Instruct47.45#582
11Llama 4 Scout Instruct43.84#1532
12Llama 4 Maverick Instruct42.64#1125

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=mmerror-error-type-classification-mathematics-logic · How It Works · Data refreshed daily, snapshot 2026-11-12.