Mistral AI model releases

Dense 128B open-weight model with a 256k context and strong coding performance for its size.

Mistral's largest open-weight MoE, aimed at frontier reasoning while remaining self-hostable.

Mistral's first dedicated reasoning model family, released in Small open-weight and Medium enterprise/API tiers.

Open-weight 24B reasoning model from Mistral's Magistral family, popular for local reasoning experiments.

Apache-licensed Small update adding vision and a 128K context window to the efficient 24B line.

A latency-optimized 24B dense model under Apache-2.0 — a popular local-deployment workhorse.

Small Mistral model line optimized for edge and low-latency workloads.

Mistral's first open multimodal model, adding image understanding to a Mistral text backbone.

Apache-licensed 12B model co-developed with NVIDIA, including a 128K context window and strong multilingual tokenization.

Mistral's first code-specialized model, trained for code generation, fill-in-the-middle, and multi-language programming tasks.

Larger open Mixtral sparse MoE with 141B total and 39B active parameters, released under Apache-2.0.

Mistral's first proprietary flagship API model, introduced alongside Le Chat and stronger multilingual/coding performance.

The open sparse Mixture-of-Experts that brought MoE efficiency to the open ecosystem.

The 7B that punched far above its weight and put Mistral on the map.