MATRIX (Materials Science) - SEM-BSE Interpretation: leaderboard
Metric: Judge score (% of the maximum) on MATRIX sem-bse interpretation: interpreting backscattered-electron SEM micrographs (50 held-out items); image plus local textual context; GPT-5.1 rubric judge scoring each long-form answer 0, 0.25, 0.5, 0.75 or 1 (scientific correctness, reasoning quality, consistency with the context), mean shown times 100; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Ministral-3-8B-Instruct-2512 | 48 | #644 |
| 2 | Qwen 3 VL 8B Instruct | 40 | #401 |
| 3 | InternVL2-8B | 35 | #826 |
| 4 | Qwen 2 VL 7B Instruct | 14.5 | #816 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=matrix-materials-science-sem-bse-interpretation · How It Works · Data refreshed daily, snapshot 2026-10-11.