Codestral 25.01

Codestral 25.01 focuses on practical engineering work rather than toy snippets. It maps natural-language specs to clean functions, explains and fixes bugs step by step, proposes refactors, and writes tests that actually run. The model is trained for multi-language breadth—Python, JavaScript/TypeScript, Java, Go, C/C++, Rust, Shell, and more—and it stays coherent over long prompts so you can reason about multi-file changes or entire modules. For interactive use it supports inline and fill-in-the-middle completion, making it feel native inside editors, while chat mode handles design discussions and migration plans. It produces structured outputs on demand (diffs, JSON patches, test lists) and works with tool or function calling so agents can run linters, unit tests, or formatters in the loop. Teams typically wire it into RAG over their own repositories to follow house patterns and enforce style. If you want a fast, dependable coding copilot that scales from IDE suggestions to automated pull requests and CI assistants, Codestral 25.01 is Mistral’s purpose-built choice.