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About Mistral AI
Mistral is an AI company that publishes open-weight models and research across reasoning, multimodal understanding, coding, speech, time-series forecasting, safety classification, robotics and physics simulation. Its research page lists a range of models, including Mistral Large 4, Mistral Medium 3.5, Mistral Small 4, Ministral 3, an OCR service, several Voxtral speech models, Timestral for time-series forecasting, Leanstral 1.5 for proof engineering in Lean 4, and Shieldstral for text and image safety classification.
The research section also covers robotics work such as Robostral Navigate, a vision-only navigation model, and physical AI work including neural surrogates for aerodynamics and plasma turbulence simulation. Publications are filterable by topic, and the company says its models can be downloaded from Hugging Face and GitHub.
The page is aimed at developers, researchers and organisations who want to download, adapt and deploy models rather than only call a hosted API. The company also lists Sovereign AI, Cloud and industry pages for enterprise customers in sectors such as financial services, manufacturing, energy and the public sector.
For individuals and teams who use the company's chat and coding product, Vibe, the pricing page lists a free plan, a Pro plan at $14.99 per month for students through an education plan and a Team plan at $24.99 per user per month. Enterprise plans with custom models, deployments and SAML SSO are available on request.
The pricing page also describes Vibe interfaces for the web, a command-line coding agent powered by Devstral, and IDE plugins for VS Code and JetBrains. Features include voice mode, task scheduling, spreadsheet and slide creation, and connectors to tools such as Notion and Slack.
The company says it offers opt-out settings for model training on user data and a trust center, data processing agreement and privacy policy. Customer support is offered through a help center and by chat and email.
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Open-weight AI models for research, coding, speech and
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