Key Features
Natively Multimodal
Llama 4 models are designed with native multimodality, allowing them to process both text and visual data simultaneously.
Unparalleled Long Context
Llama 4 Scout supports up to 10 million tokens of context, enabling advanced memory and personalization capabilities.
Expert Image Grounding
Llama 4 excels in aligning user prompts with visual concepts and anchoring responses to specific regions in images.
Cost-Efficient Deployment
Llama models are optimized for cost efficiency, with projected inference costs ranging from $0.19 to $0.49 per 1M tokens.
Who should NOT use Llama
- Requires technical expertise for deployment
- No offline mode
- Limited documentation for some models
Frequently Asked Questions
What is Llama?
Llama is a series of open-source AI models developed by Meta, designed for developers to build and deploy AI applications.
Are Llama models open source?
Yes, Llama models are open source and available for download and use.
How can I get started with Llama?
Explore the Llama documentation, cookbooks, and case studies to learn how to build with Llama models.
What are the pricing options for Llama?
Pricing details are available upon contacting Meta.
What are the key features of Llama 4?
Llama 4 offers native multimodality, unparalleled long context, expert image grounding, and cost-efficient deployment options.
Why developers choose Llama
- Build AI Applications
- Analyze Long Documents
- Generate Code
- Process Images
- Multilingual Support
What makes Llama different
Llama is a powerful, open-source AI model series designed for developers. Explore Llama 4’s capabilities, download models, and build AI applications with ease.
How it compares
- For a quick scan of competitors, check “Alternatives to Llama” below.
- Pricing model: Contact.