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Mistral Large 4: Features, Access and Capabilities

Mistral Large 4 is a 1-trillion-parameter open-weight AI model developed by Mistral AI that features 49 billion active parameters. Mistral Large 4 provides multimodal, coding, and cybersecurity capabilities via an API, with open weights releasing in late October 2026.

In short
  • Mistral Large 4 features 1 trillion total parameters and 49 billion active parameters.
  • The public preview API is live on Mistral Studio, with open weights arriving in late October 2026.
  • Mistral Large 4 achieves top scores in software vulnerability patching and agentic coding benchmarks.
  • Organizations can deploy Mistral Large 4 on private cloud, on-premise, or European cloud infrastructure.
In this guide
  1. What is Mistral Large 4?
  2. How does Mistral Large 4 perform in coding and workflows?
  3. What are the cybersecurity capabilities of Mistral Large 4?
  4. What multimodal tasks can Mistral Large 4 handle?
  5. How to access and use Mistral Large 4
  6. Frequently asked questions

What is Mistral Large 4?

Mistral Large 4 is a 1-trillion-parameter open-weight multimodal AI model created by European AI firm Mistral AI. Mistral Large 4 operates with 49 billion active parameters and is designed for enterprise applications including software engineering, cybersecurity, and document reasoning.

Mistral Large 4 facts at a glance
Developer
Mistral AI
Preview launch date
6 October 2026
Open weights release
Late October 2026
Architecture
1 trillion total parameters (49B active)
Training hardware
3,800 NVIDIA Grace Blackwell GPUs
Supported languages
160+ languages

Mistral AI trained Mistral Large 4 from scratch on 3,800 NVIDIA Grace Blackwell GPUs located in European datacenters. The model training dataset spans over 160 languages, including every official language of the European Union. Its public preview API launched on 6 October 2026, with open weights scheduled for release by the end of October 2026.

How does Mistral Large 4 perform in coding and workflows?

Mistral Large 4 delivers strong benchmark results across software engineering, terminal execution, and automated business workflows. Mistral AI reports that Mistral Large 4 outperforms competing open-weight systems on several critical industry evaluations.

Mistral Large 4 benchmark scores
BenchmarkMistral Large 4 ScoreEvaluated Skill
DeepSWE v1.161.7%Software engineering
SWE-Atlas-QnA59.4%Repository understanding
Terminal-Bench 428.3%Terminal workflows
Coding Agent Index49.8%Combined coding agent score
AutomationBench59.9%Business application workflows
AA-Briefcase1,393 EloKnowledge work deliverables

In blind human evaluations conducted by Surge AI on coding output quality, professional annotators gave Mistral Large 4 a score of 3.74 out of 5. This rating placed Mistral Large 4 ahead of Kimi K3 at 3.59, GLM-5.3 at 3.60, and GLM-5.2 at 3.40, trailing only Claude Opus 5 at 4.22.

What are the cybersecurity capabilities of Mistral Large 4?

Mistral Large 4 ranks among the top five AI models globally on the Artificial Analysis Cyber Index for cybersecurity tasks. Mistral Large 4 achieves an 82% success rate on reproducing and patching software vulnerabilities, which is the highest score reported on that evaluation.

Note

Unlike some closed frontier models that refuse security tasks, Mistral Large 4 can reproduce vulnerabilities to help security teams patch real software flaws.

On the Cybench benchmark of 40 cybersecurity competition challenges, Mistral Large 4 solves 93% of exercises. Internal testing by Mistral AI shows Mistral Large 4 is effective for analyzing malware, prioritizing software vulnerabilities, and writing detection rules. During its red-teaming phase, vetted partners and state authorities access Mistral Large 4 with expanded cyber capabilities to test security operations under controlled conditions.

What multimodal tasks can Mistral Large 4 handle?

Mistral Large 4 includes native vision capabilities to process documents, charts, natural scenes, and technical diagrams. Mistral Large 4 combines visual grounding with automated reasoning to inspect high-resolution imagery for specialized sectors.

The model can process gigapixel satellite imagery for emergency response scenarios and analyze complex engineering drawings by zooming in on precise components. Mistral AI designed these visual features to support industries such as manufacturing, logistics, earth observation, and pharmaceuticals.

How to access and use Mistral Large 4

Access to Mistral Large 4 is currently available through a public preview API on the Mistral Studio platform. Developers and enterprise users can test Mistral Large 4 online before its open weights are released in late October 2026.

  1. Try the public preview API on Mistral Studio.
  2. Access the model with reduced moderation and expanded capabilities if you are an authorized partner, state authority, or cybersecurity leader during the red-teaming phase.
  3. Get the open weights once Mistral AI releases them at the end of October 2026.
Good for
  • Sovereign deployment on private cloud, on-premise, or European cloud infrastructure
  • High success rate on reproducing and patching software security flaws
  • Multilingual training data covering over 160 languages
Not ideal for
  • Full model weights remain unreleased until late October 2026
  • Public access is currently limited to preview API usage on Mistral Studio

Frequently asked questions

What is Mistral Large 4?
Mistral Large 4 is a 1-trillion-parameter open-weight multimodal AI model developed by Mistral AI. Mistral Large 4 features 49 billion active parameters and supports coding, business workflows, image analysis, and cybersecurity operations.
When will the weights for Mistral Large 4 be released?
Mistral AI launched the public preview API for Mistral Large 4 on 6 October 2026. Mistral AI stated that the open weights for Mistral Large 4 will be officially released by the end of October 2026.
Where was Mistral Large 4 trained?
Mistral AI trained Mistral Large 4 from scratch in its European datacenters using 3,800 NVIDIA Grace Blackwell GPUs. The training dataset for Mistral Large 4 incorporated over 160 languages, including every official language of the European Union.
How does Mistral Large 4 perform in cybersecurity tests?
Mistral Large 4 ranks in the top five models globally on the Artificial Analysis Cyber Index. Mistral Large 4 scores 82% on reproducing and patching open-source software vulnerabilities and solves 93% of challenges on the Cybench benchmark.
Can Mistral Large 4 be deployed on private infrastructure?
Organizations can deploy Mistral Large 4 on private cloud environments or on-premise infrastructure. This deployment option allows enterprises to maintain complete control over data privacy and security research policies.

Sources: Mistral

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