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Mistral AI
Open and portable generative AI for devs and businesses
Inference specialist🇫🇷 FRinferenceopen-sourceeuropean
Last reviewed Mar 14, 2026
Mistral AI is a Paris-based AI company building frontier open and commercial language models. They offer comprehensive AI solutions including inference APIs, developer tools (Studio), AI agents (Vibe), model training (Forge), and compute infrastructure, combining open-source leadership with commercial-grade enterprise solutions.
LLM Models
7
From / 1M input
$0.10
LLM API Pricing
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: September 6, 2026
| Model | Input/1M | Output/1M |
|---|---|---|
| $0.100 | $0.100 | |
| $0.150 | $0.600 | |
| $0.150 | $0.150 | |
| $0.200 | $0.200 | |
| $0.300 | $0.900 | |
| $0.500 | $1.50 | |
| $1.50 | $7.50 |
Mistral AI pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Pros & Cons
Advantages
- Strong open-source model ecosystem with Apache 2.0 licensing
- Comprehensive AI platform beyond just inference APIs
- European company with EU data residency options
- Excellent code generation with dedicated Codestral model and Vibe coding agent
- Full-stack AI solutions from training to deployment
- OpenAI-compatible API for easy migration
- Advanced developer tooling with Studio and multi-platform agent access
Limitations
- Newer platform with less third-party ecosystem compared to OpenAI
- Complex product suite may require learning curve for new users
- Enterprise features still maturing compared to hyperscale providers
- Full platform capabilities require higher-tier subscriptions
Key Features
Mistral Model Family
Access to latest models including Mistral 3, Small 4, Medium 3.5, and specialized models like Codestral and Voxtral TTS
Vibe AI Agent
Unified agent for long-horizon productivity and coding tasks, available on web, mobile, CLI, and IDE
Studio Developer Platform
Complete AI development environment with API playground, agent orchestration, and deployment tools
Forge Model Training
Train, align, and evaluate custom AI models with enterprise domain adaptation
Mistral Compute
Frontier-scale infrastructure for training and inference with dedicated GPU clusters
Open-Source Models
Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0
Function Calling
Native tool use and function calling across all commercial models
JSON Mode
Structured output with guaranteed valid JSON responses
Multimodal Capabilities
Vision support, OCR, speech processing (Voxtral TTS), and document intelligence
Search Toolkit
Production search pipelines with 100+ enterprise connectors and MCP support
Pricing Options
| Option | Details |
|---|---|
| Vibe Subscription Plans | Free, Pro, Team, and Enterprise tiers with varying usage limits and features |
| API Pay-per-token | Per million token pricing with separate input and output rates |
| Free tier | Rate-limited free access for experimentation |
| Enterprise deployments | Custom models, private deployments, and dedicated infrastructure |
Availability & Support
Regions
EU (France) primary hosting with global availability. Azure, AWS Bedrock, and Google Vertex AI deployment options for data residency requirements
Support
Documentation, Discord community, Vibe chat interface, email support, and enterprise support plans
Getting Started
- 1
Create an account
Sign up at console.mistral.ai to access Vibe and Studio
- 2
Choose your starting point
Use Vibe for AI agent tasks or Studio for API development
- 3
Generate API key
Create an API key from Studio for programmatic access
- 4
Install tools
Install Vibe CLI, SDK (mistralai), or use web interfaces
- 5
Start building
Make your first API call or run tasks in Vibe
Frequently Asked Questions
Which models does Mistral AI serve?
Check the pricing table above for the models Mistral AI currently serves and their per-token rates.
How do I get started with Mistral AI?
Create an account, Choose your starting point, Generate API key, Install tools, Start building
What are Mistral AI's main advantages?
Mistral AI's main advantages include: Strong open-source model ecosystem with Apache 2.0 licensing, Comprehensive AI platform beyond just inference APIs, European company with EU data residency options, Excellent code generation with dedicated Codestral model and Vibe coding agent, Full-stack AI solutions from training to deployment, OpenAI-compatible API for easy migration, Advanced developer tooling with Studio and multi-platform agent access.
What are Mistral AI's limitations?
Mistral AI's main limitations include: Newer platform with less third-party ecosystem compared to OpenAI, Complex product suite may require learning curve for new users, Enterprise features still maturing compared to hyperscale providers, Full platform capabilities require higher-tier subscriptions.
Compare Providers
Find the best prices for the same GPUs and models from other providers
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