ky-thuat Intermediate

What is Multimodal AI?

AI that can handle multiple data types at once — text, images, audio, video — not just text like older LLMs.

Updated: May 5, 2026 · 2 min read

Multimodal AI is AI that can process MANY data types (modalities) at the same time — text, images, audio, video, PDFs — rather than just one.

Real-world examples

You can:

Model	Supported modalities
GPT-4o	Text + image + audio (input/output)
Claude 4.7	Text + image + PDF
Gemini 2.5	Text + image + audio + video natively
Llama 4	Text + image

Gemini is especially strong on video: you can hand it a 30-minute video file and ask “summarize this.”

The idea: convert every modality into the same vector form (embedding) so a single model can process them together:

[Image]  → Vision Encoder → vector
[Audio]  → Audio Encoder  → vector   } → Transformer → output
[Text]   → Text Embedding → vector

The model learns to map across modalities (which image matches which text) during training on datasets of paired (image + caption) data.