OmniMatBench - QA: leaderboard

Metric: QA macro-F1 (0-100): F1 between the response and the expert key points (precision and recall judged by Gemini 2.5 Flash), macro-averaged over subfields, times 100, over all 1,261 open-ended QA questions in the 19 subfields on OmniMatBench (3,171 expert-curated multimodal materials-science problems in 19 subfields: 1,261 open-ended QA and 1,910 calculation questions); higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 13 models tracked.

Top models

#ModelScore
1Claude Opus 4.744.3
2Gemini 3.1 Pro (Preview)40.6
3GPT-5.539.3
4O337.6
5Grok 4.335.4
6Qwen 3.6 Plus35
7Gemma 4 31B32.1
8O4 Mini30.7
9Qwen 3 VL 235B A22B27.8
10GLM-4.6V24.9
11GPT-4o21.9
12Llama 4 Maverick20.6

Interactive version: theaggregate.ai/benchmark?slug=omnimatbench-qa · How It Works · Data refreshed daily, snapshot 2026-10-07.