mistral-ai

Mistral AI released new enterprise connector features including workspace-level access controls, multi-account authentication for single connectors, and a debugging tool for Model Context Protocol (MCP) connections. The updates address production deployment challenges for AI agents accessing enterprise data systems.

Mistral has rebranded Le Chat as Vibe, launching new agentic capabilities for long-running work tasks and software development. The platform now includes Work Mode for enterprise knowledge search and document synthesis, Code Mode with GitHub integration and sandboxed execution, and a new VS Code extension. Pricing starts at $14.99/month for Pro and $24.99/user/month for Team plans.

Mistral has acquired Emmi AI and launched a physics AI capability that reduces computational fluid dynamics and finite element simulations from hours to seconds on a single GPU. The company is deploying the technology with ASML, Airbus, Safran, and Siemens Energy for design optimization, tooling, and real-time digital twins.

Mistral AI has released Connectors in Studio, allowing developers to integrate custom MCP (Model Context Protocol) servers and built-in connectors via API/SDK. The release includes direct tool calling for deterministic workflows and human-in-the-loop approval flows for sensitive operations.

Mistral AI has released Voxtral TTS, a 4B parameter text-to-speech model supporting 9 languages including English, French, German, Spanish, Dutch, Portuguese, Italian, Hindi, and Arabic. The model achieves 70ms latency for typical inputs and can clone voices from as little as 3 seconds of audio, priced at $0.016 per 1,000 characters.

Mistral AI has launched Forge, a platform that allows enterprises to train custom AI models on their proprietary data including codebases, compliance policies, and operational documentation. The system supports both dense and mixture-of-experts architectures with pre-training, post-training, and reinforcement learning capabilities.

Mistral AI has released Leanstral, a sparse 120B model with 6B active parameters designed specifically for the Lean 4 proof assistant. The model is available under Apache 2.0 license with free API access and achieves a 26.3 FLTEval score at pass@2, outperforming Claude Sonnet 4.6 while costing $36 versus $549.

Mistral AI released Vibe 2.0, a terminal-native coding agent powered by Devstral 2, adding custom subagents, multi-choice clarifications, and slash-command skills. Devstral 2 API pricing is now $0.40/M input tokens and $2.00/M output tokens, with a smaller variant at $0.10/$0.30 per million tokens.

Mistral AI's engineering team documented their investigation of a memory leak in vLLM that caused 400MB/minute memory growth during disaggregated serving with Mistral Medium 3.1. The leak, which only appeared with specific conditions including graph compilation and NIXL-based KV cache transfer, was eventually traced to mmap allocations outside the traditional heap that standard profiling tools couldn't detect.

Mistral AI released Mistral OCR 3, a document extraction model priced at $2 per 1,000 pages ($1 with Batch API discount). The model achieves a 74% overall win rate over its predecessor on forms, scanned documents, complex tables, and handwriting according to internal benchmarks.

Mistral has released Mistral 3, including Mistral Large 3—a sparse mixture-of-experts model with 41B active and 675B total parameters—and three Ministral 3 edge models (3B, 8B, 14B). All models are released under Apache 2.0 license with multimodal capabilities and are available today on multiple platforms.

Mistral AI launched AI Studio, a production platform designed to move enterprise AI systems from prototype to deployment. The platform includes three core components: Observability for tracking model performance, an Agent Runtime built on Temporal for durable execution, and an AI Registry for asset versioning and governance.

Mistral AI has published research showing that fine-tuning its Pixtral-12B vision language model on satellite imagery increases classification accuracy from 56% to 91% on the Aerial Image Dataset. Using Low-Rank Adaptation (LoRA) with 8,000 training samples across 30 scene categories, the company reduced hallucinations from 5% to 0.1% for under $10 in compute costs.

Mistral AI has released a major update to Le Chat, adding a Deep Research agent that generates structured research reports, a new voice input model called Voxtral, and Projects for organizing conversations. The update also includes multilingual reasoning powered by Mistral's Magistral model.

Mistral AI has released Codestral Embed, its first code-specialized embedding model, priced at $0.15 per million tokens. The model features an 8192-token context window and claims to outperform Voyage Code 3, Cohere Embed v4.0, and OpenAI's large embedding model on code retrieval benchmarks.

Mistral AI has released its Agents API, a framework for building AI agents with built-in connectors for code execution, web search, image generation, and Model Context Protocol tools. The API includes persistent conversation memory and multi-agent orchestration capabilities, enabling agents to maintain context across interactions and coordinate complex workflows.

Mistral AI has released Mistral OCR, an API for extracting text and images from documents at $1 per 1,000 pages (approximately $0.50 with batch inference). The company claims 94.89% overall accuracy on its internal test set, comparing favorably to GPT-4o (89.77%), Gemini 2.0 Flash (88.69%), and Azure OCR (89.52%).

Mistral AI announced a partnership with Agence France-Presse to integrate AFP's newswire content into Le Chat. The assistant will access 2,300 daily stories across six languages—French, English, Spanish, Portuguese, German, and Arabic—from AFP's network of 1,700 journalists.

Mistral AI has released major updates to le Chat, its free AI assistant, adding web search with citations, a canvas interface for collaborative editing, and image generation powered by Black Forest Labs' Flux Pro. The updates are powered by the new Pixtral Large multimodal model and are available free in beta.

Mistral AI has rebranded Le Chat as Vibe, introducing two new agent modes: Work Mode for multi-step business tasks across connected apps, and Code Mode for autonomous coding from pull request to merge. The service includes a new VS Code extension and starts at $14.99/month for Pro tier.

Mistral has acquired Emmi AI and launched physics AI models that predict structural, thermal, and fluid dynamics behavior in seconds on a single GPU, compared to hours-to-weeks for traditional solvers. The company is targeting aerospace, automotive, semiconductor, and energy sectors with partners including ASML, Airbus, Safran, and Siemens Energy.

Mistral has released Workflows in public preview, an orchestration layer for production AI systems built on Temporal's durable execution engine. The platform enables long-running AI processes to survive network failures, pause for human approval with a single line of code, and provides full execution history through Studio. Organizations including ASML, ABANCA, and CMA-CGM are already using Workflows for critical business automation.

Mistral AI has released Mistral Small 4, a 119B total parameter mixture-of-experts model with 256K context window and native multimodal capabilities. The model uses 128 experts with 4 active per token (6B active parameters) and is released under the Apache 2.0 license, marking Mistral's first unified model combining reasoning, multimodal, and coding capabilities.

Mistral AI released Leanstral, the first open-source code agent designed specifically for Lean 4 formal proof verification. The model uses 6B active parameters in a sparse 120B architecture and is available under Apache 2.0 license with free API access.

Mistral AI released OCR 3, a document parsing model priced at $2 per 1,000 pages with a 50% batch API discount. The company claims a 74% overall win rate compared to Mistral OCR 2 on forms, scanned documents, complex tables, and handwriting.

Mistral AI has released Mistral 3, consisting of Mistral Large 3—a sparse mixture-of-experts model with 675B total parameters and 41B active parameters—and three Ministral 3 models at 3B, 8B, and 14B parameters. All models are released under the Apache 2.0 license with multimodal capabilities including image understanding.

Mistral AI released Codestral 25.08, showing 30% more accepted code completions and 10% higher retention rates. The company also shipped Devstral Small, a 24B-parameter agentic coding model scoring 53.6% on SWE-Bench Verified, alongside new embedding and IDE integration tools aimed at enterprise deployment.

Mistral AI released Voxtral, a family of open-source speech understanding models available in 24B and 3B parameter variants under Apache 2.0 license. The models support up to 32K token context (30 minutes of audio for transcription, 40 minutes for understanding) and are priced at $0.001 per minute via API—less than half the cost of comparable proprietary systems according to Mistral.

Mistral AI has launched Mistral Compute, an AI infrastructure service offering private, integrated stacks including GPUs, orchestration, and APIs. The service will provide access to tens of thousands of NVIDIA GPUs, targeting European, Middle Eastern, and Asian customers seeking alternatives to US or China-based cloud providers.

Mistral AI has released Magistral, its first reasoning model line, in two versions: Magistral Small (24B parameters, Apache 2.0) and Magistral Medium (enterprise). Magistral Medium scored 73.6% on AIME2024 (90% with majority voting at 64 samples), while the open-source Small version achieved 70.7% (83.3% with voting).

Mistral AI has launched Le Chat Enterprise, powered by its new Mistral Medium 3 model. The platform includes enterprise search across Google Drive, Sharepoint, OneDrive, Gmail and Google Calendar, no-code agent builders, custom data connectors, and hybrid deployment options including self-hosted and cloud.

Mistral AI launched Mistral Medium 3 on May 7, 2025, priced at $0.4 per million input tokens and $2 per million output tokens. The company claims the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks while being significantly less expensive, and surpasses Llama 4 Maverick and Cohere Command A.

Mistral AI has released an OCR API priced at $1 per 1,000 pages with batch inference costs approximately half that rate. The company claims 94.89% overall accuracy on internal benchmarks, ahead of GPT-4o (89.77%), Gemini 2.0 Flash (88.69%), and Azure OCR (89.52%). The model processes up to 2,000 pages per minute on a single node.

Mistral AI has released Saba, a 24B-parameter model trained specifically for Arabic and South Asian languages including Tamil. The model runs on single-GPU systems at over 150 tokens per second and is available via API or for on-premises deployment.

Mistral AI announced a partnership with Agence France-Presse (AFP) to integrate the news agency's newswire into Le Chat. The integration will provide access to 2,300 daily stories in French, English, Spanish, Portuguese, German, and Arabic from AFP's network of 1,700 journalists.

Mistral AI has integrated its Medium 3.5 model into Vibe for remote coding agent functionality. The company also launched a new Work mode in Le Chat designed for complex tasks, though specific technical details remain undisclosed.

LinkedIn has launched Crosscheck, a feature allowing Premium subscribers in the US to compare AI models from OpenAI, Anthropic, Google, Mistral, MoonshotAI, and Amazon through blind testing. The feature has no token limits and shares anonymized usage data with model providers.

Mistral AI released Voxtral-4B-TTS-2603, an open-weights text-to-speech model designed for production voice agents. The 4B-parameter model supports 9 languages, 20 preset voices, achieves 70ms latency at concurrency 1 on a single NVIDIA H200, and requires only 16GB GPU memory.

Mistral AI released Voxtral TTS, an open-source text-to-speech model designed for enterprise voice agents and edge devices. The model supports nine languages, adapts custom voices from samples under five seconds, and achieves 90ms time-to-first-audio latency with a 6x real-time factor.

Mistral has released Leanstral, a 120B-parameter code verification agent built with the Lean programming language, claiming it outperforms larger open-source models and offers significant cost advantages over Anthropic's Claude suite. The model achieves a pass@2 score of 26.3—beating Claude Sonnet by 2.6 points—while costing $36 to run compared to Sonnet's $549.

Mistral AI has released Mistral Small 4, the latest iteration of its small-scale language model. The company claims improvements in reasoning and coding capabilities, though specific benchmark scores and pricing details have not been publicly disclosed.