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.
Get Strategic Context for Llama 4
Llama 4 is shaping the landscape. Get weekly strategic analysis with AI Intelligence briefings:
- ✓Market dynamics and competitive positioning
- ✓Implementation ROI frameworks and cost analysis
- ✓Vendor evaluation and build-vs-buy decisions
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Visual Guide
✨ Nano Banana SlidesInteractive presentation generated by Manus Nano Banana
Key Features
Understand and reason across text, images, and video natively.
Industry-leading context window for massive document processing.
Efficient Mixture of Experts design for optimal performance.
Available in Scout (17B), Maverick (128B), and Behemoth (400B+).
Download and run locally or fine-tune for your use case.
Free for commercial use with permissive licensing.
Real-World Use Cases
Enterprise Deployment
ForCompanies need AI capabilities without cloud dependencies.
Example Prompt / Workflow
Research & Development
ForResearchers need to fine-tune models for specific domains.
Example Prompt / Workflow
Video Understanding
ForMedia companies need to analyze and index video content.
Example Prompt / Workflow
Code Generation
ForDevelopment teams need AI-assisted coding.
Example Prompt / Workflow
Frequently Asked Questions
Pricing
Open Source
- ✓ Full model weights
- ✓ Commercial license
- ✓ Community support
Meta AI
- ✓ Hosted access via meta.ai
- ✓ No setup required
- ✓ Basic features
Cloud Providers
- ✓ AWS, Azure, GCP hosting
- ✓ Managed infrastructure
- ✓ Enterprise support
Pros & Cons
Pros
- ✓ Truly open source with commercial license
- ✓ Industry-leading 10M context window
- ✓ Native multimodal capabilities
- ✓ Multiple size options
- ✓ Self-hosting possible
Cons
- ✕ Requires significant compute for larger models
- ✕ Setup complexity for self-hosting
- ✕ Community support only for open source
- ✕ Some features still in development
Quick Start
Choose Your Path
Use Meta AI for quick access or download weights for self-hosting.
Select Model Size
Choose Scout (17B), Maverick (128B), or Behemoth (400B+) based on needs.
Deploy
Use cloud providers or set up local infrastructure.
Fine-tune
Customize the model for your specific use case.