OMIBench: leaderboard

Metric: GPTScore (%, binarized LLM-judge equivalence of the final answer with the gold answer, micro-averaged) on the 1,322 problems of OMIBench (Olympiad-level multi-image problems from biology, chemistry, mathematics and physics competitions), zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 37 models tracked.

Top models

#ModelScore
1Gemini 3 Pro (Preview)50.53
2Qwen 3 VL 32B (Thinking)49.54
3GPT-548.11
4GPT-5 Mini47.73
5Qwen 3 VL 30B A3B (Thinking)47.2
6Qwen 3 VL 235B A22B (Thinking)47.05
7O4 Mini45.97
8Gemini 2.5 Pro44.1
9Qwen 3 VL 8B (Thinking)38.65
10Qwen 3 VL 32B Instruct35.78
11Gemini 2.5 Flash35.25
12Qwen 3 VL 235B A22B Instruct34.39
13Qwen 3 VL 4B (Thinking)30.03
14Qwen 3 VL 30B A3B Instruct28.59
15Qwen 2.5 VL 72B Instruct27.99

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