Devstral Small

Mistral Codestral 25.01

Mistral Codestral 25.01 is a state-of-the-art coding model optimized for low-latency, high-frequency use cases. Proficient in over 80 programming languages, it excels at tasks like fill-in-the-middle (FIM), code correction, and test generation.

Codestral Embed

Code embedding model that can embed code databases and repositories to power coding assistants.

Magistral Medium 2509

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

Magistral Medium 2506

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

Magistral Small 2509

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

Magistral Small 2506

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

Ministral 3B

A compact, efficient model for on-device tasks like smart assistants and local analytics, offering low-latency performance.

Ministral 8B

A more powerful model with faster, memory-efficient inference, ideal for complex workflows and demanding edge applications.

Mistral Embed

General-purpose text embedding model for semantic search, similarity, clustering, and RAG workflows.

Mistral Large

Mistral Large is ideal for complex tasks that require large reasoning capabilities or are highly specialized - like Synthetic Text Generation, Code Generation, RAG, or Agents.

Mistral Medium 3.1

Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost.

Mistral Small

Mistral Small is the ideal choice for simple tasks that one can do in bulk - like Classification, Customer Support, or Text Generation. It offers excellent performance at an affordable price point.

Mixtral MoE 8x22B Instruct

8x22b Instruct model. 8x22b is mixture-of-experts open source model by Mistral served by Fireworks.

Pixtral 12B 2409

A 12B model with image understanding capabilities in addition to text.

Pixtral Large

Pixtral Large is the second model in our multimodal family and demonstrates frontier-level image understanding. Particularly, the model is able to understand documents, charts and natural images, while maintaining the leading text-only understanding of Mistral Large 2.