M-JudgeBench - Long CoT Same-Model Pairs: leaderboard

Metric: pairwise accuracy (%) on the 337 pairs where a correct and an incorrect long chain of thought come from the same model, 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: Around March 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 06-05)70.03#101
2GPT-4o (2024-08-06)59.05#326
3Qwen 3 VL 8B Instruct58.75#401
4GPT-558.46#91
5Qwen 3 VL 4B Instruct55.79#506
6GPT-4.1 (2025-04-14)54.6#244
7GPT-4.1 Mini53.12#346
8GLM-4.5V (Non-reasoning)51.04#339 (GLM-4.5V)
9Qwen 2.5 VL 7B Instruct44.81#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-long-cot-same-model-pairs · How It Works · Data refreshed daily, snapshot 2026-10-11.