Mistral's Codestral: The 22B Model That Outperforms GPT-4 on Code Completion

Most developers still use autocomplete from GPT-4 or Copilot, but those models are slower (>500ms) and often return overly verbose code. Codestral's FIM mode is purpose-built for inline code completion: it fills exactly the missing part, respects your existing code style, and runs on a consumer GPU for under 200ms latency. This lets you stay in flow without waiting.

In this guide: Install the Continue plugin and configure Codestral as your backend model to enable sub200ms completions.

⏰ Time saved: Saves 5+ hours per week on coding tasks like boilerplate, error handling, and function implementations.

🏆 After this guide: You can write complex functions in 5-10 seconds by typing just the signature or a high-level comment, and you'll be able to customize Codestral's behavior with inline instructions (e.g., '// with error handling') for precise results.

🚀 Try this now: Open your IDE, install the Continue plugin (if not already), and paste this prompt into a new JavaScript file: ACTION: Type the following code block as a comment at the top of an empty file. PROMPT: ``` // Use Codestral FIM to generate an async function that fetches user data from an API, handles network errors, and returns a cleaned object. ``` Then press Enter twice and write 'async function fetchUserData(userId) {' on the next line. Press Tab—Codestral will complete the entire function body.

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