AI Glossary Term

What does “Multimodal Model” mean?

Definition

A model that can process or generate multiple data types such as text, image, and audio.

Browse the full AI Glossary Explore all free AI guides

How Multimodal Model works

Example

You photograph a broken bike chain and ask, in words, how to fix it. A multimodal model reads both your photo and your question and writes instructions that refer to what it sees.

Why it matters

Many real tasks involve more than text, such as reading charts, screenshots, or speech. Multimodal models handle them in one system.

Common questions

Which modalities are common?

Text, images, audio, and video. Some also handle code or sensor data.

Are they always more accurate?

Not necessarily. Reading fine detail in images or noisy audio can still go wrong.

How do they combine types?

By converting each input into a shared numeric form the model can process together.

Generative AIAI systems that produce new content such as text, images, audio, video, or code.CLIPA multimodal model architecture that learns shared representations between text and images.Context WindowThe maximum amount of input tokens a language model can process at once.Convolutional Neural Network (CNN)A neural architecture optimized for processing grid-like data such as images.Data DriftA shift in real-world input data over time that can degrade model performance.Data LabelingThe process of assigning tags or target outputs to raw data for supervised learning.

Learn more in our free guides

AI Models Explained Model Collapse Model Lifecycle Model Context Protocol

Test yourself

AI Models Explained Quiz Model Collapse Quiz Model Lifecycle Quiz