Mistral AI model releases

Rumored / early-access: Mistral AI has confirmed a new open-weight Mixture-of-Experts family — described by CEO Arthur Mensch as "fat but sparse" — aimed at closing the gap with frontier open-weight releases, with early access beginning in July 2026. Mensch confirmed the intent but disclosed almost nothing concrete: no parameter count, no benchmarks, no license terms, and no release date. Tracked as rumored until weights or an official product page land.

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

Mistral's March 2026 Small release: the first Mistral model to unify reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding (Devstral) into one Apache 2.0 model. A 119B-total / ~6B-active Mixture-of-Experts (128 experts, 4 active per token) with native text+image input, a 256K context, and a configurable reasoning_effort toggle for fast or deep responses. API pricing is $0.15 / $0.60 per million input/output tokens.

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.

Mistral and All Hands AI's open coding-agent model, released as a 24B Apache-2.0 research preview for software engineering tasks. Devstral is optimized for repository navigation, issue resolution, and agentic coding and is available via Hugging Face and Mistral's API.

Mistral's May 2025 enterprise workhorse model, positioned as a high-performance, lower-cost alternative to larger proprietary systems for coding, STEM, enterprise search, and multilingual workloads. Mistral lists API pricing at $0.40 / $2 per million input/output tokens and offers hosted and enterprise deployment paths.

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.