Mistral AI

Devstral 2

Mistral AI

Devstral 2 is a state-of-the-art, open-weight agentic coding model developed by Mistral AI. Released in December 2025, it features a dense Transformer architecture with 123 billion parameters and a 256k token context window. Designed specifically for software engineering tasks, Devstral 2 excels at codebase exploration, multi-file editing, and complex instruction following. It supports multimodal inputs (text, code, and images) and is optimized for agentic workflows, achieving a score of 72.2% on the SWE-bench Verified benchmark. The model is released alongside the Mistral Vibe CLI for terminal-based code automation. While the weights are publicly available, the 123B model is distributed under a Modified MIT license with commercial restrictions for large entities.

Mistral Large (123B)

Mistral AI

Flagship 123B-parameter model from Mistral AI, progressively upgraded through 2024 versions. Targeted to be a top-performing open model competing with Meta's Llama family on knowledge and reasoning tasks.

Pixtral 123B

Mistral AI

A 123B-parameter **multimodal** model from Mistral, combining language with vision ("Pix-"). A 12B smaller version was released under Apache 2.0. Pixtral extends Mistral's LLM capability to image understanding and description tasks.

Ministral 3B

Mistral AI

The smallest model in Mistral AI's Ministral family, part of 'les Ministraux'. A state-of-the-art edge model optimized for on-device computing with exceptional knowledge, commonsense, reasoning, and function-calling capabilities in the sub-10B category.

Ministral 8B

Mistral AI

A state-of-the-art 8B parameter model from Mistral AI's Ministral family, part of 'les Ministraux'. Features special interleaved sliding-window attention pattern for faster and memory-efficient inference, designed for edge computing and on-device applications.

Codestral

Mistral AI

Mistral AI's first-ever code model. An open-weight generative AI model explicitly designed for code generation tasks. Trained on a diverse dataset of 80+ programming languages including Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran. Helps developers write and interact with code through shared instruction and completion API endpoints.

Mixtral 8×22B

Mistral AI

A sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B total, offering unparalleled cost efficiency for its size. Sets a new standard for performance and efficiency within the AI community.

Mixtral 8×7B

Mistral AI

A sparse Mixture-of-Experts model (8 experts) with a total of 46.7B parameters (12.9B active per token). Outperformed dense models like Llama 2 70B and GPT-3.5 on many benchmarks at significantly lower compute cost.

Mistral 7B

Mistral AI

7.3B-parameter model trained from scratch with improved data and architecture enhancements. Open-source (Apache 2.0) with strong performance that rivaled larger 13B+ models on many benchmarks.