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Bienvenue to Mistral AI Documentation

Mistral AI is a research lab building the best open source models in the world. La Plateforme enables developers and enterprises to build new products and applications, powered by Mistral’s open source and commercial LLMs.

Mistral AI Large Language Models (LLMs)​

We release both premier models and free models, driving innovation and convenience for our developer community. Our models are state-of-the-art for their multilingual, code generation, maths, and advanced reasoning capabilities.

Premier models​

  • Ministral 3B, world’s best edge model released October 2024.
  • Ministral 8B, powerful edge model with extremely high performance/price ratio released October 2024.
  • Mistral Small, our latest enterprise-grade small model with the lastest version v2 released September 2024.
  • Mistral Large, our top-tier reasoning model for high-complexity tasks with the lastest version v2 released July 2024
  • Codestral, our cutting-edge language model for coding released May 2024
  • Mistral Embed, our state-of-the-art semantic for extracting representation of text extracts

Free models​

  • Pixtral, a 12B model with image understanding capabilities in addition to text released September 2024
  • Mistral NeMo, our best multilingual open source model released July 2024
  • Codestral Mamba, our first mamba 2 open source model released July 2024
  • Mathstral 7b, our first math open source model released July 2024
  • Mixtral 8x22b, our best open source model to date released April 2024
  • Mixtral 8x7b, our first sparse mixture-of-experts released December 2023
  • Mistral 7b, our first dense model released September 2023

Learn more about our models here.

Explore the Mistral AI APIs​

The Mistral AI APIs empower LLM applications via:

  • Text generation, enables streaming and provides the ability to display partial model results in real-time
  • Vision, enables the analysis of images and provides insights based on visual content in addition to text.
  • Code generation, enpowers code generation tasks, including fill-in-the-middle and code completion
  • Embeddings, useful for RAG where it represents the meaning of text as a list of numbers
  • Function calling, enables Mistral models to connect to external tools
  • Fine-tuning, enables developers to create customized and specilized models
  • JSON mode, enables developers to set the response format to json_object
  • Guardrailing, enables developers to enforce policies at the system level of Mistral models