Llama is Meta's family of open-source large language models that provide state-of-the-art AI capabilities accessible to developers, researchers, and organizations worldwide. The latest generation, Llama 4, introduces natively multimodal models with mixture-of-experts architectures that deliver superior text and visual intelligence alongside industry-leading context windows reaching up to 10 million tokens for seamless long document analysis.

The Llama 4 family includes specialized variants optimized for different use cases. Llama 4 Scout offers class-leading multimodal capabilities with a 10 million token context window, enabling advanced applications in memory, personalization, and multi-document processing. Llama 4 Maverick provides industry-leading performance for image and text understanding with groundbreaking intelligence and fast responses at low cost, deployable efficiently on a single H100 GPU. These models leverage early fusion pre-training with large amounts of unlabeled text and vision tokens, representing a significant advancement over previous approaches using separate frozen multimodal weights.

Llama models excel across comprehensive benchmarks spanning coding, reasoning, general knowledge, vision understanding, multilinguality, and long context processing. The models support 12 languages for text applications and demonstrate competitive performance against leading closed-source alternatives in general knowledge, steerability, mathematics, tool use, and multilingual translation. Developers can access Llama through multiple channels including direct downloads from Meta, Llama API for rapid prototyping, and major cloud platforms including Amazon Web Services, Microsoft Azure, Google Cloud, IBM Watsonx, Oracle Cloud, and specialized AI infrastructure providers.

Meta provides extensive resources to support Llama developers including cookbooks with practical implementation recipes, comprehensive documentation covering prompt engineering, fine-tuning, quantization, distillation, and deployment best practices. The ecosystem includes lightweight SDKs in Python and TypeScript with OpenAI compatibility endpoints for easy integration into existing applications. Llama Stack offers streamlined tools enabling developers to move from ideation to application deployment in minutes with optimized performance that scales to billions of users.