Mistral Chat
by Mistral (France)
Multimodal AI chat for deep research, documents, images, and work
About
Mistral Chat, also called le Chat, is Mistral AI’s conversational assistant available in the browser and as native mobile apps. It is built on Mistral’s large language models and offers natural-language chat, advanced reasoning, web search, and real-time news, positioning itself as an everyday work and life assistant that understands multiple languages and voice input. Users can interact via text or vocal mode, which lets them talk to the assistant hands-free, similar to speaking with a person. A core capability of le Chat is deep research: in Research mode it can clarify a user’s goals, search across the web and curated journalistic sources, and synthesize findings into coherent outputs. It supports document OCR across scans and images, enabling users to upload PDFs or images and extract, search, and reason over their contents. Le Chat can also organize information into Projects, letting users group data, documents, and notes from multiple sources into structured workspaces for ongoing tasks. For creativity and communication use cases, Mistral Chat can generate and iteratively refine images, text drafts, and structured content. The mobile apps highlight image generation and contextual iteration, so users can quickly produce visuals or adjust existing ones using natural language instructions. In addition, it provides lightning-fast web search, multilingual reasoning, and context-aware assistance for tasks like writing, summarization, and translation, all with a focus on privacy and control of user data. Le Chat is also offered in an enterprise configuration, where it connects securely to company knowledge bases, documents, and tools to provide enterprise search and analysis while respecting organizational data boundaries. This enterprise version emphasizes customizable AI behavior and governance, allowing organizations to tune le Chat for internal workflows, compliance constraints, and domain-specific knowledge. Together, the consumer and enterprise offerings position Mistral Chat as a flexible assistant that spans personal productivity, research, creativity, and business knowledge work.
What you can do with it
- Conduct deep web research and synthesis on technical, legal, or market topics
- Draft and refine professional emails, reports, and presentations
- Upload PDFs or scanned documents to extract key data and summaries
- Generate and iteratively improve images for decks, social posts, or mockups
- Search across internal knowledge bases and tools to answer employee questions
Pricing
Unconfirmed
How to access
Accessible via web interface at chat.mistral.ai and native Le Chat apps on iOS and Android; users create or use a Mistral account with email sign-in, while enterprise deployments use le Chat’s enterprise product configured through Mistral AI’s sales and integrations to connect internal knowledge bases and tools.
Access via web at chat.mistral.ai and via the Le Chat mobile apps on iOS and Android; sign in or sign up with an email-based Mistral account is required; consumer access is self-serve with no credit card needed to try core features, while enterprise deployments are accessed through Mistral’s le Chat enterprise product and sales-assisted setup.
Tips for getting the best results
Start by creating a Mistral account and logging into chat.mistral.ai or the mobile app, then choose between standard chat and specialized modes like research to match the task. For complex topics, explicitly ask le Chat to use Research mode, specify the depth and format of the answer, and upload any relevant documents so it can integrate them into its reasoning. When working with PDFs or images, use the document upload/OCR features and ask targeted questions like “extract key figures” or “summarize section 3,” rather than only requesting generic summaries. For creative work, iteratively refine prompts for text or image generation, referencing previous outputs and instructing le Chat to adjust tone, style, or visual details. In enterprise contexts, direct questions using the names of connected tools or knowledge bases (for example, “search our Confluence space for the latest incident report”) to ensure it pulls from the intended internal sources.
Known limitations
Pricing structure and specific subscription tiers for le Chat are not clearly documented publicly, making budgeting and feature comparison difficult without contacting Mistral or checking in-product dialogs. Some advanced capabilities—such as deep research, enterprise connectors, and larger context handling—may be restricted to paid or enterprise users, but official feature gating per tier is not fully transparent. As with other LLM-based assistants, le Chat can hallucinate or provide outdated or incomplete information, so outputs should be verified for high-stakes decisions. OCR and document understanding may struggle with poor-quality scans, complex tables, or highly formatted documents, requiring manual review. Enterprise integrations require configuration and appropriate permissions, which can introduce setup friction and dependency on IT or admin support.
Model / Technology
Hosted assistant over Mistral large language models with web search and OCR
Commercial use
Mistral’s public materials for le Chat emphasize privacy and enterprise control but do not on their own specify detailed commercial usage terms for outputs; commercial use is likely governed by Mistral AI’s general Terms of Use and enterprise contracts, which typically allow business use of generated content while imposing restrictions related to data handling, safety, and compliance obligations.
Training data
Mistral has stated for its models that they are trained on large-scale text corpora that include publicly available online data, licensed or partnered datasets, and curated proprietary corpora; specific training sets for le Chat’s underlying models are not publicly itemized, and Mistral emphasizes privacy and non-use of customer conversation data for training without consent, with no major public controversies uniquely tied to le Chat’s training data.