MMBU - Ungrounded Classification (Open-Ended): leaderboard
Metric: Open-ended (free-form) ungrounded classification of the whole image: 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 August 2028. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 32B Instruct | 13.7 |
| 2 | InternVL3.5-8B | 11.1 |
| 3 | GPT-5.4 Mini | 10.4 |
| 4 | Qwen 2.5 VL 32B Instruct | 8.8 |
| 5 | Qwen 3 VL 8B Instruct | 8.6 |
| 6 | Qwen 3 VL 4B Instruct | 7.9 |
| 7 | Lingshu-32B | 7.3 |
| 8 | GPT-4.1 Mini | 7 |
| 9 | Lingshu-7B | 5.4 |
| 10 | MedGemma-4B-IT | 4.3 |
| 11 | Qwen 2.5 VL 7B Instruct | 3.1 |
| 12 | Gemma 3 4B (IT) | 2.2 |
Interactive version: theaggregate.ai/benchmark?slug=mmbu-ungrounded-classification-open-ended · How It Works · Data refreshed daily, snapshot 2026-09-29.