What is Mistral Le Chat
Mistral’s assistant product, previously known as Le Chat and now branded as Vibe, is increasingly interesting because it combines a polished assistant experience with Mistral’s credibility in open and commercial model development. It is designed for both productivity work and coding, rather than only casual chat.
Mistral rose quickly from a European frontier-model startup into one of the most important alternative AI vendors for teams that care about open-weight strategy, deployment flexibility, and strong technical products. Its assistant surface evolved from Le Chat into Vibe, reflecting the company’s shift from model reputation alone toward a broader platform and workflow story.
Core offerings
- Vibe for work and Vibe for code inside one product.
- Web, mobile, terminal, IDE, and connector-based workflows.
- Studio for API and developer access plus Admin for org controls.
- 100+ connectors and options for private or on-prem deployment on Enterprise.
Pricing
Mistral’s public pricing currently lists Free, Pro at US$14.99 per month, Team at US$24.99 per user per month, and Enterprise with custom pricing. Verified students can access a discounted US$5.99 plan. Mistral also publishes API pricing separately and states, for example, that Mistral Large is priced at US$2 per million input tokens and US$6 per million output tokens.
Model footprint
Mistral exposes multiple products and model routes rather than a single assistant model. Public guidance points users toward Mistral Large for general performance, Mistral Medium 3.5 for coding, OCR for document extraction, and Mistral Small for cost-sensitive projects.
Why select Mistral Le Chat
Mistral appeals to teams that want a modern assistant plus stronger infrastructure and deployment flexibility than many consumer-first AI products provide. It is particularly interesting for Europe-conscious buyers, technical teams, and companies that care about open-weight strategy.
Official sources: Mistral pricing, Mistral platform overview, Mistral Vibe.
Current models
Mistral’s public docs are strong on model families, open-weight status, context windows, and pricing for current flagship lines. Training data details are still limited publicly, so those cells remain explicit about that.
| Model | Context / output | Knowledge / training | Pricing / token use | Speed / notes |
|---|---|---|---|---|
Mistral Large 3mistral-large-2512 | 256K max context | Open-weight, Apache 2.0 Parameters: 675B total / 41B active Training data specifics: not publicly disclosed | US$0.5 input / US$1.5 output per 1M tokens | State-of-the-art general-purpose multimodal flagship with unusually low published token pricing |
Mistral Medium 3.5mistral-medium-3-5 | 256K max context | Modified MIT licence Parameters: 128B total / 128B active Training data specifics: not publicly disclosed | US$1.5 input / US$7.5 output per 1M tokens | Frontier-class multimodal model optimised for coding and agentic use |
Mistral Medium 3.1mistral-medium-2508 | 128K context | Premier release from Aug 2025 Training data specifics: not publicly disclosed | Current consumer/platform pricing pages emphasise newer lines; check the live model card for support lifecycle | Still relevant for understanding how fast Mistral iterates its mid-tier model family |
Magistral Medium 1.2magistral-medium-2509 | 128K max context | Reasoning-focused line Training data specifics: not publicly disclosed | Price not exposed in the snippet used here; see current compare page for live values | Useful when you specifically want Mistral’s reasoning-oriented family rather than generalist models |
Ministral 3 familyministral-3b-2512, ministral-8b-2512, ministral-14b-2512 | 256K max context across the line | Open model family focused on smaller footprints Training data specifics: not publicly disclosed | Current pricing varies by deployment route rather than one simple Vibe plan row | Important for teams that care about smaller open models and deployment flexibility |