A multimodal artificial intelligence model works across multiple forms of information. A model with vision support can interpret screenshots, diagrams or photographs alongside text, while other systems may also accept or generate audio and video.
Multimodal capability can be essential in development workflows involving interfaces and visual defects. Support for a modality does not guarantee equal quality, so teams should test the exact inputs, resolution and reasoning tasks their application uses.
