Mistral Large 4 API

Mistral AI's largest model to date: a 1 trillion-parameter natively multimodal Mixture of Experts with 49 billion active parameters and a 512K context window.

Modalities
Text, ImageText
In / Out price
$1.36/$4.18per 1M
Context window
512K tokens
Released
Oct 6, 2026

Mistral Large 4 overview

Mistral Large 4 by Mistral AI

Mistral Large 4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters, built as a hybrid instruct-and-reasoning Mixture of Experts. It is served with a 512K context window and up to 256K output tokens.

Mistral Large 4 specs

Model ID
mistralai/mistral-large-4-0
Developer
Mistral AI
Context window
524,288 tokens
Max output
262,144 tokens
Input
Text, Image
Output
Text
API
OpenAI-compatible, base URL https://api.aimlapi.com/v1

What Is Mistral Large 4 API?

Mistral Large 4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters, built as a hybrid instruct-and-reasoning Mixture of Experts. Mistral describes it as its largest and most capable model to date, and the weights are open.

Technical Reference

DeveloperMistral AI
Model IDmistralai/mistral-large-4-0
ModalitiesImage, Text → Text
Context window524,288 tokens
Max output262,144 tokens
Parameters1 trillion total, 49 billion active
ArchitectureHybrid instruct-and-reasoning Mixture of Experts
Released6 October 2026

What Mistral Large 4 Brings to the Table

Sparse at scale
1 trillion parameters in total but 49 billion active per token, so capacity does not translate one-for-one into cost per request.

A 512K window
524,288 tokens in and up to 262,144 out, which fits an entire service, source, tests and a ticket thread, in one prompt.

Instruct and reasoning in one
A hybrid design rather than separate chat and reasoning checkpoints.

Native multimodality
Image input is built in rather than bolted on.

Vendor-Reported Benchmarks

Published by Mistral AI with the Mistral Large 4 announcement, retrieved 6 October 2026. These are the vendor's own figures and have not been independently reproduced.

  • Cybench: 93% on vulnerability reproduction and patching
  • Dense 200 (visual grounding): 42%

Where Mistral Large 4 Makes the Most Sense

Long-running agent work
The DeepSWE and AutomationBench figures are both about finishing multi-step tasks rather than answering one question.

Whole-repository reasoning
A 512K window keeps the context in the prompt instead of in a retrieval layer.

Sources: https://mistral.ai/news/mistral-large-4 · https://docs.mistral.ai/models/mistral-large-4-0

Use cases

  • Agentic software work: Mistral reports 61.7% on DeepSWE v1.1 and 59.9% on AutomationBench.
  • Security review: 93% on Cybench for vulnerability reproduction and patching.
  • Document and screenshot understanding: native image input, with 42% on Dense 200 visual grounding.
  • Self-hosting: open weights, for teams that need the model inside their own perimeter.

Mistral Large 4 benchmarks by Artificial Analysis

See how Mistral Large 4 compares in intelligence and cost per task. Data retrieved Nov 3, 2026.

Intelligence

Index v5.0

Cost per task

USD / benchmark task

Benchmark results

Compare 5 models available on AI/ML API across 1 independent benchmark.

Terminal-Bench 4.0

Agentic tasks completed in a command-line environment.

Mistral Large 4 API pricing

Mistral Large 4 pricing in US dollars
UsagePriceUnit
Input$1.361M tokens
Output$4.181M tokens
Cached input$0.141M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Mistral Large 4 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
ModelInputOutput
Mistral Large 4$1.36$4.18
Small 4$0.1984$0.7935
Devstral 2 2512$0.4655$2.33
Sakana Namazu$1.01$4.23
Medium 3.5$1.59$7.93

How to use the Mistral Large 4 API

View docs (opens in a new tab)

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "mistralai/mistral-large-4-0",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

Related articles

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Mistral Large 4 FAQ

What is Mistral Large 4?

Mistral Large 4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters, built as a hybrid instruct-and-reasoning Mixture of Experts. Mistral describes it as its largest and most capable model to date.

How much does Mistral Large 4 cost?

Mistral Large 4 costs $1.36 input and $4.18 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Can Mistral Large 4 read images?

Yes. Mistral describes it as natively multimodal, taking both text and image input and returning text.

What benchmarks did Mistral publish for Mistral Large 4?

With the announcement Mistral reported DeepSWE v1.1 61.7%, Cybench 93% on vulnerability reproduction and patching, AutomationBench 59.9%, Dense 200 visual grounding 42%, B3 Attack Resistance 93.3%, and a KORA score of 1.691. These are the vendor's own figures, not independently reproduced.

Are Mistral Large 4 weights open?

Mistral describes the model as open-weight and said at announcement that the weights would drop at the end of the month.

What is the Mistral Large 4 model ID?

Use mistralai/mistral-large-4-0 as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.

What is the context window of Mistral Large 4?

Mistral Large 4 accepts up to 524,288 tokens of context and returns up to 262,144 output tokens.

Start building with Mistral Large 4

Mistral Large 4 API

mistralai/mistral-large-4-0

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "mistralai/mistral-large-4-0",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'