Mistral AI

Meet the new Codestral 25.08 and the complete Mistral Coding Stack for Enterprises! Our full-stack approach is designed to support enterprise-grade software development across every stage—from code suggestion to autonomous pull requests. Here's what we offer: 1️⃣ Codestral 25.08: our latest update excels at prioritizing the most helpful suggestions, reducing distractions to let you focus on what matters. It delivers a +30% increase in accepted completions, +10% more retained code after suggestion, and 50% fewer runaway generations. 2️⃣ Codestral Embed: experience high-recall, low-latency search across massive codebases with our advanced embedding model. 3️⃣ Devstral: autonomous multi-step development with agentic workflows, powered by the OpenHands agent scaffold. 4️⃣ Mistral Code: our native plugin for JetBrains and VS Code provides inline completions, complex task automations, and integrated semantic search. The full Mistral coding stack is available today for enterprise deployment. For more information and to get started today: https://xmrrwallet.com/cmx.plnkd.in/esecSsrV

We are proud to announce our strategic partnership with NTT DATA to shape the future of enterprise AI. By combining NTT DATA’s global expertise in IT services with Mistral AI’s cutting edge models, we will deliver tailored, secure, and sustainable AI for strategic industries such as finance, insurance, defense, as well as the public sector. We will address the entire value chain—from infrastructure and private cloud environments to AI-powered business processes, to deliver scalable solutions.   Together, we are committed to empowering organizations worldwide with control and independence. Stay tuned for more updates!

Boosting OCR Performance: Improving speed and accuracy with Document AI This webinar will show you how to unlock the full potential of OCR with our Document AI solution. Discover how combining cutting-edge OCR technology with advanced structured data extraction can transform your document processing workflows.

Today, we are proud to share the results of the first ever assessment of the full lifecycle environmental impacts of AI models, conducted in partnership with Carbone 4 and ADEME.    With this study, we are not only addressing our own impacts but also hope to contribute to a global environmental standard for AI.    We aim to set new standards for environmental accountability in AI, advocating for clear, collective rules based on measurable indicators. By sharing these insights, we hope to inspire others to join us in building a more transparent future for AI. Thanks to Hubblo and Resilio I B Corp certified for their peer review. Read more about our approach and findings here: https://xmrrwallet.com/cmx.plnkd.in/eYJhF-XT 

Introducing powerful new features in Le Chat, making it more capable and more fun! 🔍 Deep Research: dive into complex topics with our structured research reports, delivered with lightning-fast reactivity  🎙️ Voice mode: talk to Le Chat on the go, thanks to our new Voxtral model 🌍 Natively multilingual reasoning: get thoughtful answers in your preferred language, powered by our reasoning model Magistral 📂 Projects: keep your conversations organized and accessible with our new context-rich folders 🖼️ Advanced image editing: create and edit images with simple prompts Try it now at chat.mistral.ai or download the app! More information here: https://xmrrwallet.com/cmx.plnkd.in/dK3E2gj9

Introducing Voxtral: the world’s best (and open) speech recognition models! Released under the Apache 2.0 license, these state of the art models understand both speech and text inputs, making them perfect for transcription, translation, summarization, and chat applications. 🗣️ Voxtral Small and Voxtral Mini deliver frontier-class audio performance and can be deployed anywhere—even on device. ⚡ We are also providing optimized, transcription-only API endpoints for fast, low latency speech recognition applications. Audio is increasingly critical for enterprises and consumers, and it will accelerate the adoption of voice as a medium for human-computer interaction. Stay tuned for upcoming features! More info below 👇 https://xmrrwallet.com/cmx.plnkd.in/gRH5BKdb

We are happy to announce a strategic partnership with ALTEN, a global leader in Engineering and IT services! Together, we will deploy highly customizable and secure AI solutions by leveraging Mistral AI's cutting-edge technology alongside ALTEN's engineering expertise to accelerate the adoption of AI in strategic industries. We are also proud to share that ALTEN has chosen Mistral AI's solutions as its preferred AI technology for internal use. Stay tuned for more updates! 

Congrats for making Small 3.2 talk, Kyutai!

Introducing AI for Citizens, an initiative designed to empower public institutions to harness the benefits of AI for their citizens. Building on our experience with governments, public sector agencies, and educational institutions worldwide, and driven by our commitment to putting AI in everyone’s hands, we are eager to accelerate the deployment of AI for States and public institutions.  With our expertise in developing secure and customizable AI solutions, AI for Citizens aims to transform public services, catalyze innovation, and ensure competitiveness, to the benefit of citizens.  Our approach is guided by these fundamental principles: 🗣️ Diversity and accessibility: by integrating local languages and cultural nuances, we ensure AI reflects the needs of every community. 🔒 Data control and security: safeguarding citizens' data is paramount, our solutions ensure trust and autonomy. 🧭 Decentralization and openness: we promote fair access to information and opportunities. More information👇 https://xmrrwallet.com/cmx.plnkd.in/gTcQ6p_k https://xmrrwallet.com/cmx.plnkd.in/gPqEDrR6

Introducing Mistral Small 3.2, an update to Mistral Small 3.1 to improve: 📝 Instruction following: Small-3.2 is better at following precise instructions 🔄 Repetition errors: Small-3.2 produces less infinite generations or repetitive answers ⚙️ Function calling: Small-3.2's function calling template is more robust 🔗 Check out our Hugging Face repo for details: https://xmrrwallet.com/cmx.plnkd.in/ggrwH8ki