Benchmark

MuirBench

vision multimodal reasoning multimodal

A comprehensive benchmark for robust multi-image understanding capabilities of multimodal LLMs. Consists of 12 diverse multi-image tasks involving 10 categories of multi-image relations (e.g., multiview, temporal relations, narrative, complementary). Comprises 11,264 images and 2,600 multiple-choice questions created in a pairwise manner, where each standard instance is paired with an unanswerable variant for reliable assessment.

语言EN
满分1
参评模型1

模型排名

名次 模型 机构 分数 来源
1 Qwen2.5-Omni-7B Alibaba Cloud / Qwen Team 59.2 来源 ↗