OpenVLM MMMU - Materials: leaderboard
OpenCompass OpenVLM MMMU validation subcategory score for visual college-level questions in materials.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around January 2027. 284 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 76.7 | #98 |
| 2 | GPT-5 Mini (2025-08-07) | 70 | #172 |
| 3 | InternVL3-78B | 66.7 | #352 |
| 4 | Gemini 2.5 Pro | 60 | #152 |
| 5 | InternVL3-38B | 60 | #405 |
| 6 | Qwen 2 VL 72B | 56.7 | #460 |
| 7 | GPT-5 Nano | 53.3 | #425 |
| 8 | GPT-4.1 (2025-04-14) | 53.3 | #250 |
| 9 | GPT-4.5 | 53.3 | #274 |
| 10 | Gemini 2.0 Flash | 50 | #342 |
| 11 | Claude 3.5 Sonnet (20241022) | 46.7 | #291 |
| 12 | Aquila-VL-2B | 46.7 | #1238 |
| 13 | InternVL2.5-78B | 46.7 | #431 |
| 14 | InternVL3-8B | 43.3 | #620 |
| 15 | InternVL3-14B | 43.3 | #505 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmmu-materials · How It Works · Data refreshed daily, snapshot 2026-10-20.