Conversational AI
Llama 4
The Future of Open-Source AI
Overview
Native Multimodality: Built from the ground up to understand text, images, and video.
10M Token Context: Process entire codebases, books, or video libraries.
Mixture of Experts: Efficient architecture activating only relevant parameters.
Truly Open Source: Weights available for download, fine-tuning, and commercial use.
Pricing
Free
Category
Conversational AI
Company
Meta
Visual Guide
Nano Banana SlidesOpen Fullscreen ↗
Key Features
01
Understand and reason across text, images, and video natively.
02
Industry-leading context window for massive document processing.
03
Efficient Mixture of Experts design for optimal performance.
04
Available in Scout (17B), Maverick (128B), and Behemoth (400B+).
05
Download and run locally or fine-tune for your use case.
06
Free for commercial use with permissive licensing.
Real-World Use Cases
Enterprise Deployment
Companies need AI capabilities without cloud dependencies.
Research & Development
Researchers need to fine-tune models for specific domains.
Video Understanding
Media companies need to analyze and index video content.
Code Generation
Development teams need AI-assisted coding.
Quick Start
1
Choose Your Path
Use Meta AI for quick access or download weights for self-hosting.
2
Select Model Size
Choose Scout (17B), Maverick (128B), or Behemoth (400B+) based on needs.
3
Deploy
Use cloud providers or set up local infrastructure.
4
Fine-tune
Customize the model for your specific use case.