M-JudgeBench - Incidental Mistake Detection: leaderboard

Metric: pairwise accuracy (%) on the 252 pairs where the rejected chain has an injected incidental slip (spelling, transcription, units) but the same correct final answer, M-JudgeBench (3,712 multimodal judge pairs from MMMU, MMMU-Pro, MMStar, MMReason, M3CoT, MathVision and MathVerse; the model sees the image, question and two responses and outputs its choice directly, open-source judge models with their own prompts); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 06-05)92.46#101
2GPT-4.1 (2025-04-14)83.73#244
3GPT-582.14#91
4GPT-4.1 Mini81.75#346
5Qwen 3 VL 8B Instruct76.59#401
6Qwen 3 VL 4B Instruct73.81#506
7GPT-4o (2024-08-06)70.24#326
8GLM-4.5V (Non-reasoning)68.25#339 (GLM-4.5V)
9Qwen 2.5 VL 7B Instruct41.27#643

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=m-judgebench-incidental-mistake-detection · How It Works · Data refreshed daily, snapshot 2026-10-11.