What is Multimodal AI?

Full Definition

A multimodal AI model accepts and/or produces multiple data types — most commonly text, images, audio, and video — rather than being limited to a single modality like text-only LLMs. Early multimodal work linked separate encoders (e.g., CLIP for images) to language model decoders. Modern systems like GPT-4o, Gemini 1.5, and Claude 3.5 Sonnet integrate vision, voice, and text natively, enabling tasks such as describing what's in a photo, transcribing audio, answering questions about a chart, or generating images from a text prompt in the same model. Multimodal capability is increasingly the baseline expectation for frontier AI assistants.