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le Chat

Model ● Covered in 11 stories Compare ⇄ + Follow

Le Chat is a conversational AI assistant developed by Mistral AI that offers document analysis, code execution, image generation, web search, and voice interaction capabilities. Recent updates include a memory system for saving conversation information, Deep Research mode for generating structured reports, integration with enterprise tools via MCP connectors, and incorporation of Agence France-Presse news content for factually verified responses. The service is available on multiple platforms with a free tier and paid Pro option starting at $14.99 per month, alongside enterprise deployment options.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Vibe gets to work. Mistral AI · 2 months ago · 22

Remote agents in Vibe. Powered by Mistral Medium 3.5. Mistral AI · 2 months ago · 24

Make Memory work for you. Mistral AI · 11 months ago · 38

Le Chat. Custom MCP connectors. Memories. Mistral AI · 11 months ago · 33

Le Chat dives deep. Mistral AI · 1 year ago · 17

Magistral Mistral AI · 1 year ago · 34

The all new le Chat: Your AI assistant for life and work Mistral AI · 1 year ago · 35

Purr-fectly informed Mistral AI · 1 year ago · 35

Timeline

Month Quarter Year

2026

28 May Vibe gets to work.
22 May Remote agents in Vibe. Powered by Mistral Medium 3.5.

2025

2 Sep Make Memory work for you.
2 Sep Le Chat. Custom MCP connectors. Memories.
17 Jul Le Chat dives deep.
10 Jun Magistral
6 Feb The all new le Chat: Your AI assistant for life and work
16 Jan Purr-fectly informed

2024

Mistral AI releases Pixtral Large multimodal model and updates le Chat assistant with new features Model release

Relationships

Products & technology

Mistral AI develops this model · 6 sources
Mistral develops this model · 3 sources
Integrated with Voxtral · 1 source
Integrated with Mistral Large · 1 source
Integrated with Mistral Small · 1 source
Integrated with Mistral Next · 1 source
Integrated with Agence France-Presse · 1 source
Integrated with Databricks · 1 source
Integrated with Snowflake · 1 source
Integrated with GitHub · 1 source
Integrated with Asana · 1 source
Integrated with Stripe · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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