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Mistral Large 4

Mistral Large 4 is a 1 trillion-parameter natively multimodal model with 49 billion active parameters. Mistral says it performs strongly in coding, agentic workflows, multimodal understanding, and enterprise workloads.

What it does

People can use it for tasks such as coding, running agents, analyzing documents and images, and cybersecurity work.

Availability
Public preview API on Mistral Studio; weights planned by the end of October 2026
Pricing model
Not established
Deployment
Public preview served from Mistral's European datacenters; private cloud or on-premises deployment described
Privacy
Not established
Licence
Not established
Capability
text generationanalysiscode generationagentssafety
Modality
textimagecodemultimodal
Access
APIopen weights
Deployment
hostedprivate cloudon-premises
Pricing
unknown
Target user
developerenterpriseresearcher

Evidence

5 claims
  • The public preview API is available on Mistral Studio. [1]
    You can try the preview API today on Mistral Studio .
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Mistral says it will release the model weights by the end of October 2026. [1]
    We will release the weights by the end of the month.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model has 1 trillion parameters, with 52 billion active parameters, and is natively multimodal. [1]
    ML4 is a 1 trillion-parameter natively multimodal model with 52 billion active parameters.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Mistral reports a score of 82% on one Artificial Analysis Cyber Index test. [1]
    On the Artificial Analysis Cyber Index, an independent evaluation of how well AI models find and fix security flaws in real software, it ranks among the top five models globally and leads open-weight models developed outside China by a wide margin.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • Mistral says organizations will be able to run the model on private cloud or on-premises. [1]
    For organisations that need sovereign, auditable AI for security operations, it will be able to run on private cloud or on-premise.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

1
1
MistralOwner-controlled
https://mistral.ai/news/mistral-large-4/ Retrieved 2026-10-29 00:08 UTC
Verified

Versions

4
VersionEffectiveChangeChanged fieldsState
42026-10-12 16:57 UTCmaterial changecapability, deploymentCurrent
32026-10-07 21:30 UTCmaterial changecapability, deploymentCurrent
22026-10-06 21:17 UTCmaterial changecapability, access, availability, deploymentCurrent
12026-10-06 15:14 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.