MetaLlama 4balancedVisionTool use

Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high effic

328K context·~246K words·16K max output
Context window328Ktokens
Max output16Ktokens

Context window

This model accepts 328K tokens in one request (~246K words of text).

Context window size328K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Fits
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
327,680 tokens (328K)
Max output tokens
16,384 tokens (16K)
Speed tier
balanced
Provider
Meta
Model family
Llama 4
Release date
Apr 2025

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (4)
Vision
Supported
Tool use
Supported
Function calling
Supported
Streaming
Supported
Not supported (4)
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Llama 4 Scout has a context window of 327K tokens (327,680 tokens). This large window is well-suited for long document analysis, extensive codebases, and multi-session agent workflows.

More from Meta

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