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Llama 4 Scout

Meta's multimodal MoE model with a record-breaking 10M token context window

Free
Categories: LLM, Developer Tools
Llama 4 Scout is Meta's efficient multimodal language model featuring a mixture-of-experts architecture with 17 billion active parameters (109B total), delivering frontier-level performance at a fraction of the compute cost. Scout's groundbreaking 10 million token context window — the largest of any commercially available model — enables processing entire codebases, lengthy legal documents, and comprehensive research corpora in a single context. The model handles both text and images natively and is released under Meta's open license, enabling broad deployment.

Key Features

  • 10 million token context window
  • 17B active parameters (MoE)
  • Native image understanding
  • Frontier performance efficiency
  • Open license for deployment

Use Cases

  • Full codebase analysis
  • Long document processing
  • Multimodal research tasks
  • Cost-effective frontier AI deployment
Visit Llama 4 Scout →

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