Empowering Product Development with an Agentic Workflow
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Mistral
Stay on top with the latest research, product releases, and company announcements from Mistral AI.
Announcing Codestral 25.08 and the Complete Mistral Coding Stack for Enterprise
How the world’s leading enterprises are using integrated coding solutions from Mistral AI to cut development, review, and testing time by 50%—and why the playbook now fits every company that wants AI-native software development.
The all new le Chat: Your AI assistant for life and work
Access the latest news, plan everyday life, track projects, upload and summarize documents, and do much, much more.
Heaps do lie: debugging a memory leak in vLLM.
A few months ago, our team investigated a suspected memory leak in vLLM. At first, we thought the issue would be easy to spot, something confined to the upper layers of the codebase. But the deeper we looked, the more complex it became. This article kicks off our new Engineering Deep Dive series, where we’ll share how we tackle technical investigations and build solutions at Mistral AI.
AI in abundance
We’re taking new steps in our mission to bring frontier AI in the hands of everyone. Today, we are releasing:
Introducing: Devstral 2 and Mistral Vibe CLI.
Today, we're releasing Devstral 2—our next-generation coding model family available in two sizes: Devstral 2 (123B) and Devstral Small 2 (24B). Devstral 2 ships under a modified MIT license, while Devstral Small 2 uses Apache 2.0. Both are open-source and permissively licensed to accelerate distributed intelligence.
Le Chat. Custom MCP connectors. Memories.
The widest enterprise-ready connector directory (beta), with custom extensibility, making it easy to bring workflows into your AI assistant.
Rails testing on autopilot: Building an agent that writes what developers won't
In most large Rails monoliths, organizations prioritize writing new features over writing tests for them. Over time, more and more code goes untested, forcing teams to spend more time debugging painful bugs.
Workflows for work that runs the business
Today, we're releasing Workflows in public preview. Workflows is the orchestration layer for enterprise AI. It brings the durability, observability, and fault tolerance required to move AI-powered processes from proof of concept to production reliably. Organizations like ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, Moeve, and many more are already running Workflows to automate critical processes.
Introducing Mistral OCR 3
Breakthrough performance: 74% overall win rate over Mistral OCR 2 on forms, scanned documents, complex tables, and handwriting.
Unlocking the potential of vision language models on satellite imagery through fine-tuning
Fine-tuning foundation models is transforming how we apply AI to real-world problems. By adapting pre-trained models to specific domains, we can unlock dramatically better performance on specialized tasks. Today, we’re excited to share how fine-tuning Pixtral-12B on satellite imagery leads to significant improvements over the base model, showcasing the power of domain-specific adaptation.
Mistral Small 3
Today we're introducing Mistral Small 3, a latency-optimized 24B-parameter model released under the Apache 2.0 license.
Make Memory work for you.
As conversational AIs get more capable, our expectations grow with them. We don’t just want faster answers, we want tools that remember, adapt, and fit the way we work. That’s where Memories (beta) come in. And with it, new questions: What should an AI remember? How should it recall? And what does it take for you to trust it?
Mistral Saba
Making AI ubiquitous requires addressing every culture and language. As AI proliferates globally, many of our customers worldwide have expressed a strong desire for models that are not just fluent but native to regional parlance. While larger, general-purpose models are often proficient in several languages, they lack linguistic nuances, cultural background, and in-depth regional knowledge required to serve use cases with strong regional context.
Leanstral: Open-Source foundation for trustworthy vibe-coding
AI agents have proven to be highly capable tools at code generation. Yet, as we push these models to high-stakes domains, ranging from frontier research mathematics to mission-critical software, we encounter a scaling bottleneck: the human review. The time and specialized expertise required to manually verify become the primary impedance of engineering velocity.
Our contribution to a global environmental standard for AI
At Mistral AI, our mission is to bring artificial intelligence in everyone’s hands. For this purpose, we have consistently advocated for openness in AI, with a unique focus on empowering organizations that want to own their AI future.
Purr-fectly informed
At Mistral AI, our mission is to place AI in everyone's hands. This means democratizing access to advanced AI interfaces, making trustworthy information accessible, and ensuring that everyone can use AI with confidence and trust.
Connect the dots: Build with built-in and custom MCPs in Studio
Today we are releasing Connectors in Studio to unblock developers building highly customised AI applications grounded in enterprise data. All built-in connectors, as well as custom MCPs, are now available via API/SDK to be used with all model and agent calls.
Mistral AI partners with NVIDIA to accelerate open frontier models
Shared expertise: By pooling resources and knowledge, we reduce duplication and accelerate progress across the AI ecosystem.
Introducing Mistral 3
Today, we announce Mistral 3, the next generation of Mistral models. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters. All models are released under the Apache 2.0 license. Open-sourcing our models in a variety of compressed formats empowers the developer community and puts AI in people’s hands through distributed intelligence.
