Mistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.

Mistral Small Creative is an experimental lightweight model focused on creative writing and storytelling. It excels at narrative generation, roleplay, character dialogue, and general instruction-following for conversational agents.

Devstral 2 is Mistral AI's open-source, agentic coding model — a 123B dense transformer with a 256K context window. It can navigate and modify large codebases, coordinate multi-file changes, manage dependencies, and automatically detect and fix errors. Designed for modernization and large engineering tasks, it’s tunable for specific languages or enterprise code and is released under a modified MIT license.

Ministral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.

Ministral 3 8B is the balanced model in the Ministral 3 series — a compact, efficient language model that still delivers strong performance and includes vision capabilities.

Ministral 3 3B is the smallest model in the Ministral 3 family — a compact, efficient language model that still offers solid performance and built-in vision capabilities.

Mistral Large 3 2512 is Mistral's most powerful model so far — a sparse MoE system with 41B active (675B total) parameters, released under the Apache 2.0 license.

Mistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text.

Voxtral Small is an upgraded version of Mistral Small 3 that adds advanced audio understanding while preserving strong text performance. It handles speech transcription, translation, and audio comprehension, with audio input billed per million seconds.

Mistral Codestral Embed is an embedding model specialized for code, ideal for indexing repositories and powering coding assistants with high-quality code retrieval.

Mistral Medium 3.1 is an enterprise-grade update to Mistral Medium 3, delivering near–frontier reasoning and multimodal performance at much lower cost (up to 8× cheaper than large models). It excels in coding, STEM, and enterprise workflows, supports hybrid and on-prem deployments, and offers accuracy competitive with larger models like Claude Sonnet and Llama Maverick while remaining easy to integrate across cloud environments.

Codestral is Mistral's cutting-edge language model for coding, released in late July 2025. It is purpose-built for low-latency, high-frequency developer workflows, excelling at tasks such as fill-in-the-middle (FIM) code completion, code correction, and test generation. Optimized for responsiveness and precision, Codestral is well suited for real-time coding assistance, IDE integration, and automated development pipelines where speed and accuracy are critical.