Llama 4

What is Llama 4?

Llama 4 is Meta's latest suite of large language models featuring natively multimodal capabilities and unprecedented context length support. It includes models like Llama 4 Scout and Llama 4 Maverick, designed with mixture-of-experts architecture for efficient scaling and high performance. These models excel in reasoning, coding, multilingual tasks, and image understanding, surpassing many contemporary AI systems. Llama 4 models are openly available for download and integration, promoting innovation and accessibility in AI development.

Key Features

• Natively Multimodal Architecture

  Supports both text and image inputs, enabling sophisticated understanding and generation across multiple data types.

• Extended Context Length

  Llama 4 Scout supports up to 10 million tokens, vastly improving capabilities in multi-document summarization, long conversations, and large codebase reasoning.

• Mixture-of-Experts (MoE) Design

  Efficient scaling with expert layers allowing high parameter counts with manageable computational resources, balancing performance and cost.

• Superior Performance on STEM and Reasoning Benchmarks

  Outperforms leading models like GPT-4.5 and Gemini 2.0 Pro in math, coding, and reasoning tasks.

• Open Access and Integration

  Available for download on llama.com and Hugging Face, encouraging community-driven innovation and diverse application development.

Use Cases

• Advanced Research and Development : Ideal for developers and researchers building next-generation AI applications requiring deep reasoning and multimodal understanding.
• Enterprise AI Integration : Can be embedded into business workflows for enhanced automation, data analysis, and decision support with extended context capabilities.
• Multimodal Content Creation : Supports generation and understanding of both text and images, enabling creative applications in media, design, and marketing.
• Long-Form Document Processing : Handles extremely long contexts for summarization, legal document analysis, and large-scale codebase comprehension.
• Educational Tools and STEM Applications : Excels in STEM education scenarios, providing accurate solutions and explanations for complex problems.

FAQs