MMBU - Grounded Classification (Boxes, Open-Ended): leaderboard

Open-ended grounded classification on MMBU (2026), a biomedical image perception benchmark: the model names the finding in a region marked by a bounding box, judged by Qwen3-32B, scored as micro-averaged F1 times 100. Higher is better.

Metric: Open-ended classification of a region marked by a bounding box: micro-averaged F1 x100 (0-100) over MMBU's biomedical images from 35 submodalities (95% bootstrap intervals not published); zero-shot, official checkpoints; Qwen3-32B judges strict biomedical equivalence. Source: arxiv.org. Saturation forecast: Around September 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 32B Instruct14.5#585
2GPT-5.4 Mini13.2#389
3Qwen 3 VL 8B Instruct9.8#981
4Qwen 3 VL 4B Instruct9.3#1279
5GPT-4.1 Mini8.7#779
6Qwen 2.5 VL 32B Instruct7.9#1053
7MedGemma-4B-IT6.6#2716
8Qwen 2.5 VL 7B Instruct3#1833
9Gemma 3 4B (IT)2.6#3831

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

Interactive version: theaggregate.ai/benchmark?slug=mmbu-grounded-classification-boxes-open-ended · How It Works · Data refreshed daily, snapshot 2026-11-13.