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Codestral Model to complete, refactor and test code

Mistral Chat and reasoning models Upgrade to use mistralai/codestral-2508

Codestral 25.08 is Mistral’s 22B code model built for fast IDE-style completions, fill-in-the-middle (FIM) inserts, and targeted refactors. It is suited to developers and engineering teams who need reliable single-file edits, quick test generation, and low-latency completions in their editor or CI pipelines.

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What it can do

  • Searches the live web and cites sources
  • Reads PDFs and documents
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What people use it for

Fill in a missing function body

Provide the file with surrounding context and Codestral predicts the code between the cursor and the following lines, returning compilable suggestions that save keystrokes and reduce repetitive edits. Use it for snippets, helper functions, and API glue code.

Refactor and rename across a file

Give the model a file or a set of related files and an instruction like “extract method” or “rename variable”; Codestral produces the updated code with consistent local changes and suggested tests to validate behavior. This is practical for single-file refactors and targeted cleanups.

Generate unit tests and simple fixes

Ask Codestral to write unit tests for a function or to fix failing assertions; it generates test cases and proposes minimal patches to make them pass, speeding up TDD cycles and PR prep. Works across the most common languages.

Why it is worth it

Questions people ask

How do I pay for Codestral in Katteb Chat?

Katteb bills Codestral usage per message in credits. Each message using Codestral costs 3 credits; view your account page for your current credit balance and history.

Can Codestral access my project files and the web?

Yes. In Katteb Chat you may attach files and allow web access for the model to read repositories or docs. Only attach data you are comfortable sharing under your account settings and review Katteb’s data policy before use.

When should I choose Codestral over a general-purpose model?

Choose Codestral when you need fast, cursor-style completions, fill-in-the-middle code generation, or compact refactors and test generation within a file. For multi-file reasoning or high-level architectural planning, pair it with a broader chat model in Katteb.

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