AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Frontier language models are increasingly marketed as omni systems that can perceive and respond across modalities. Existing evaluation frameworks, however, focus almost exclusively on bimodal understanding, typically text plus one other modality. We propose the Modality Maturity Index (MMI), a benchmark designed to evaluate the multimodal capabilities of large language models across five modalities (text, image, audio, video and document) and combinations of up to three modalities in both inputs and outputs. MMI consists of 893 questions, each carefully crafted to require the model to demonst

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.