M-JudgeBench: leaderboard
Metric: Overall pairwise accuracy (%), pooled over all ten subtasks, 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 June 2027. 20 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Preview 06-05) | 64.76 | #101 |
| 2 | GPT-5 | 56.6 | #91 |
| 3 | Qwen 3 VL 8B Instruct | 50.78 | #401 |
| 4 | GPT-4.1 (2025-04-14) | 50.38 | #244 |
| 5 | Qwen 3 VL 4B Instruct | 50 | #506 |
| 6 | GPT-4.1 Mini | 49.89 | #346 |
| 7 | GPT-4o (2024-08-06) | 49.6 | #326 |
| 8 | GLM-4.5V (Non-reasoning) | 48.98 | #339 (GLM-4.5V) |
| 9 | Qwen 2.5 VL 7B Instruct | 39.63 | #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 · How It Works · Data refreshed daily, snapshot 2026-10-11.