MiniMax-H3 Scores Just 41.97% on a New Omni-Modal Physical World Reasoning Benchmark

Haoyu Zhao · hf · 2026-09-18

A new evaluation framework tests whether the omni-modal generative model MiniMax-H3 can actually reason about the physical world.

The benchmark is built around four dimensions of physical-world reasoning and exploits omni-modal inputs: implicit prompts with multiple frames, audio-image, prefix-videos, and audio-video combinations—each modality offers only partial evidence, forcing joint cross-modal inference of latent event states and future dynamics.
Across 517 instances, MiniMax-H3 achieves a 41.97% overall success rate. Video-based Decision Reasoning is strongest at 56.00%, while Audio-based Disambiguation Reasoning reaches only 27.40%.
The takeaway: effective multimodal integration remains the key bottleneck for unlocking omni-modal inputs. The project is open-sourced at github.com/gulucaptain/MiniMax-H3-Reason.

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