Codestral Embed
Mistral AI released its first code-focused embedding model, Codestral Embed, outperforming Voyage Code 3, Cohere Embed v4.0 and OpenAI's large embedding model on real-world code retrieval.
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May 27
Build AI agents with the Mistral Agents API
Mistral AI released Agents API, combining its language models with built-in connectors for code execution, image generation, document libraries and web search, plus MCP tools, persistent memory across conversations and agent orchestration.
May 21
Devstral
Mistral AI and All Hands AI jointly released Devstral, an agentic LLM for software engineering tasks, open-source under Apache 2.0.
May 7
Medium is the new large.
Mistral AI released Mistral Medium 3, claiming at least 90% of Claude Sonnet 3.7’s performance on several benchmarks. Pricing is $0.40 per million input tokens and $2 per million output tokens.
Introducing Le Chat Enterprise
Mistral released enterprise AI assistant Le Chat Enterprise, powered by the new Mistral Medium 3. It offers enterprise search, agent building, custom data and tool connectors, document libraries, custom models and hybrid deployment, with all features rolling out over the next two weeks.
Apr 9
Evaluating RAG with LLM as a Judge
Mistral proposes judge LLMs scoring generator responses on numerical, binary or qualitative scales, then taking weighted averages across evaluation datasets to assess RAG systems.
Mar 17
Mistral Small 3.1
Mistral AI released Mistral Small 3.1, improving text performance and multimodal understanding over Small 3, expanding context to 128k tokens and reaching 150 tokens per second, under Apache 2.0.
Mar 7
Mistral OCR
Mistral AI introduced Mistral OCR, an optical character recognition API that reads images and PDFs and outputs text and images interleaved in order. It is already the default document understanding model for millions of Le Chat users.
Mar 4
Empowering product development with an agentic workflow
Mistral AI introduced TranscriptToPRDTicket, comprising PRDAgent and TicketCreationAgent powered by Mistral Large 2. It turns meeting transcripts into PRDs and development tickets, automatically creating them in tools such as Linear and Jira.