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Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 512K-token context window with up...

524K context·~393K words·262K max output
Context window524Ktokens
Max output262Ktokens

Context window

This model accepts 524K tokens in one request (~393K words of text).

Context window size524K 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
    Fits

Specifications

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

Context window
524,288 tokens (524K)
Max output tokens
262,144 tokens (262K)
Speed tier
deep
Provider
Mistral
Model family
Mistral Large
Release date
Oct 2026
Input cost
$0.680/M / 1M tokens
Output cost
$2.09/M / 1M tokens
Cached input
$0.068/M / 1M tokens

Capabilities

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

Supported (6)
Vision
Supported
Tool use
Supported
Function calling
Supported
Extended thinking
Supported
Streaming
Supported
Prompt caching
Supported
Not supported (2)
Web search
Not supported
Batch API
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Mistral Large 4 has a context window of 524K tokens (524,288 tokens). This large window is well-suited for long document analysis, extensive codebases, and multi-session agent workflows.

More from Mistral

Other models by Mistral in our catalog.

Powered by Mem0

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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

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