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Mistral Large 4

mistral-large-4-0

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... Built by Mistral AI.

Prices updated

Input price

$0.68

per 1M tokens · Standard

Output price

$2.09

per 1M tokens · Standard

Input limit

1M

tokens

Output limit

262K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Mistral Large 4 price history

2 price records since 10/8/2026

Mistral Large 4 cost calculator

Input20M tokens
Output5M tokens

$24/month

Standard pricing

    Overview

    What is Mistral Large 4?

    Mistral Large 4 is a text & reasoning and vision model from Mistral AI. 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... Its 1M context window and $0.68 input price make it a candidate for quality-focused production applications.

    Image understandingDocument analysisContent workflowsClassification

    Rates

    Mistral Large 4 pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.68

    Per 1M tokens

    Cached input · Standard

    $0.07

    Per 1M tokens

    Capabilities

    Mistral Large 4 Tools

    Tools available when using Mistral Large 4 through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Priced at $0.68 input and $2.09 output per million tokens.
    • 1M context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Generated tokens cost 3× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Mistral Large 4

    Mistral Large 4 is a text & reasoning and vision model from Mistral AI. 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...