Devstral 2 123B is an agentic large language model built specifically to address the demands of modern software engineering. With 123 billion parameters, the model is designed to function as an intelligent assistant capable of navigating complex codebases and performing intricate development tasks. Its architecture prioritizes deep reasoning and tool-use capabilities, allowing it to interact with external development environments, explore project structures, and execute multi-file edits with high precision.

The model is optimized for technical workflows, demonstrating strong performance on benchmarks such as SWE-bench. By leveraging specialized training for code generation and technical reasoning, it provides developers with a robust tool for automating software engineering processes. Its design focuses on efficiency and utility, making it a practical choice for building autonomous coding agents that require both a broad understanding of programming logic and the ability to manage extensive project contexts.