Benchmark Radar
AI BENCHMARK PROFILE

OmniPhys

General AIMultimodal PerceptionECNU-RAIL

Evaluates multimodal physics understanding, reasoning, and generation on 15,246 questions with 19,850 images from middle-school to university levels.

Released
2026-08-26
Readiness
Runnable
Primary field
General AI

Why it matters

Fills the gap in comprehensive physics benchmarks for MLLMs, including structured diagram generation and fine-grained reasoning analysis.

Motivation

Multimodal Large Language Models (MLLMs) have demonstrated strong abilities in solving diverse visual and textual reasoning tasks.

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.