Mistral Le Chat (now Vibe)

Le Chat is now Vibe. Mistral AI renamed its assistant on May 28, 2026, describing it as "one agent and one licence across work and code." Every conversation, setting and plan carried over, and the app still lives at chat.mistral.ai. The Le Chat name has been retired from Mistral's product navigation.

This page describes that product. The rest of it — the models, the privacy posture, the API — is unchanged.

Overview

Launched in February 2024 by Paris-based Mistral AI, the assistant evolved from a simple model showcase into a full platform before taking the Vibe name. Mistral AI is the leading European AI lab, known for publishing models that punch far above their size — delivering performance rivaling much larger proprietary models from OpenAI and Anthropic.

In July 2026, Vibe is powered by Mistral Large 3 for complex reasoning tasks and Mistral Medium 3.5 for fast, cost-efficient responses. The platform stands out for its Canvas collaborative workspace, built-in web search, and strict European data privacy standards (GDPR-compliant by design).

What Changed in the Rename

• Work Mode is the assistant you already knew — web and mobile, multi-step tasks like inbox management, research and document drafting.
• Code Mode is a dedicated surface for remote coding agents, alongside a Mistral Vibe extension for VS Code and a terminal CLI.
• One licence now covers both, rather than separate chat and coding products.
• Chat mode will eventually sunset, but all historical Le Chat data is preserved.
• The app URL did not move. vibe.mistral.ai and mistral.ai/vibe both redirect to chat.mistral.ai.

Key Features

• Ultra-Fast Responses: Mistral's models are architecturally optimized for speed, delivering noticeably faster responses than comparable models — critical for high-volume professional use.
• Le Canvas: A side-by-side collaborative workspace where you can co-create and iterate on code, documents, and structured content with the AI in real-time.
• Native Web Search: An integrated search engine that grounds answers in live web sources with inline citations, reducing hallucinations on current events.
• Codestral Integration: A specialized coding model (Codestral) is available within Le Chat for fill-in-the-middle code completion and debugging.
• European Data Privacy: All data is processed under EU jurisdiction with strict GDPR compliance and a no-training policy for enterprise users.
• Open-Weight Transparency: The models powering Le Chat are published openly, allowing independent security audits and local deployment.
• La Plateforme API: A developer-grade API platform with competitive pricing and full access to the Mistral model family.

How It Works

Technical Architecture:

• Models: Mistral Large 3 (general intelligence), Mistral Medium 3.5 (speed-optimized), Codestral (code), Mistral Embed (embeddings).
• Context Window: 128K tokens.
• Architecture: Grouped-Query Attention (GQA) Transformer with Sliding Window Attention for long contexts.
• API Standard: OpenAI-compatible REST API via La Plateforme.
• Privacy: EU-based data processing, GDPR-compliant, zero data retention for Pro/Enterprise.

Use Cases

Professional Research & Writing

• Deep Research Synthesis: Cross-referencing live web sources to produce cited reports on complex topics.
• Technical Documentation: Using Canvas to draft, review, and iterate on API docs, specs, and whitepapers.
• Multilingual Content: High-quality translation and content creation across 30+ languages, with particular strength in French, Spanish, Italian, and German.

Software Development

• Code Generation: Using Codestral for fill-in-the-middle completion and complex algorithm implementation.
• Code Review & Debugging: Analyzing code for bugs, logic errors, and security vulnerabilities.
• API Development: Using La Plateforme to build Mistral-powered applications.

Privacy-Sensitive Enterprise

• Confidential Document Analysis: Analyzing sensitive business documents without US data jurisdiction.
• On-Premise Deployment: Running Mistral Large on internal infrastructure for full data sovereignty.

Getting Started

Step 1: Access Vibe

1. Visit chat.mistral.ai — old Le Chat links still land here.
2. Create a free account with your email.
3. Start chatting with Mistral Large immediately.

Step 2: Try Le Canvas

1. In any conversation, click "Open Canvas" (the split-screen icon).
2. Ask Vibe to write or generate code/text.
3. The output appears in the right pane. Edit it directly or ask the AI to refine it.

Step 3: Enable Web Search

1. In the input bar, toggle the "Web Search" icon (globe icon) to on.
2. Ask a question requiring current information.
3. Vibe will retrieve live sources and include citations in its response.

Step 4: Use the API

1. Visit console.mistral.ai and create an API key.
2. Install the Mistral Python client: pip install mistralai.
3. Make your first API call:

from mistralai import Mistral
client = Mistral(api_key="your-api-key")
response = client.chat.complete(
    model="mistral-large-latest",
    messages=[{"role": "user", "content": "Explain MoE architecture."}]
)
print(response.choices[0].message.content)

Best Practices

• Use Le Canvas for iterative writing and coding projects.
• Enable Web Search for any question involving current events or recent data.
• Choose the right model: Use mistral-small for speed and mistral-large for complex reasoning.

Pricing & Plans

Plan names and prices from mistral.ai/pricing, checked 8 July 2026. One licence covers Work Mode and Code Mode.

• Free ($0): Access to Mistral Small and Mistral Large 3 with standard daily limits.
• Pro ($14.99/month): Higher usage limits, full web search, Canvas access, and priority speed.
• Team ($24.99/user/month, $50/month minimum): Collaboration and shared workspaces.
• Enterprise: Custom pricing with EU-based data processing SLAs, SSO, and dedicated support.
• API (Pay-as-you-go) — quoted by Mistral in USD; the pricing page offers a EUR toggle:
  • Mistral Small 4: $0.15 per 1M input tokens / $0.60 per 1M output tokens.
  • Codestral: $0.30 per 1M input tokens / $0.90 per 1M output tokens.
  • Mistral Medium 3.5: $1.50 per 1M input tokens / $7.50 per 1M output tokens.
  • Mistral Large 3: $0.50 per 1M input tokens / $1.50 per 1M output tokens.

Limitations

• Context Window: The models behind Le Chat top out at 256K tokens (Mistral Large 3 and Medium 3.5) — large, but smaller than Gemini 3.5 or Claude Opus 4.8, both at 1M. Mistral does not publish the context limit Le Chat itself exposes.
• Image Generation: No built-in image generation (unlike ChatGPT or Grok).
• Agentic Features: Multi-step autonomous agents are more limited compared to Claude Code or Cursor.
• Brand Recognition: Less widely known than OpenAI and Anthropic, which can affect community support availability.

Community & Support

• Documentation: docs.mistral.ai
• La Plateforme Console: console.mistral.ai
• GitHub: github.com/mistralai
• Discord: Official Mistral Discord
• X (Twitter): @MistralAI

Related Tools

• ChatGPT
• Claude
• DeepSeek
• Grok