Codestral
AI code generation modelWrite code across 80+ languages
Highlights
What you can do with it
- Writing and completing code inside your IDE
- Generating tests for existing functions
- Filling in partial code with the middle-fill mechanism
How to use it
- 1 Get the Codestral model, for example via HuggingFace
- 2 Create an account on La Plateforme and get an API key
- 3 Point your IDE or app to the codestral.mistral.ai endpoint
- 4 Use Instruct or Fill-In-the-Middle routing as needed
- 5 Integrate with tools like LlamaIndex, LangChain, VSCode, or JetBrains
Who it is for
Pros
- Broad language coverage with 80+ languages
- Large 32k context window for longer files
- Free beta period was offered to try it
Limitations
- The free beta was time-limited and access is now usage-based
- Output still needs review and testing
- API use depends on your own key and account
What Codestral is
Codestral is a code generation AI model built by the Mistral AI team. It is trained on more than 80 programming languages, including Python, Java, C, C++, JavaScript, and Bash, so it can handle a wide range of coding work. The model can write code, generate tests, and use a middle-fill mechanism to complete a section of code between a given start and end. It has a 32k context window, which helps with longer files, and it exposes a dedicated API endpoint so you can wire it into your editor. There are integrations with frameworks and tools such as LlamaIndex, LangChain, VSCode, and JetBrains. An eight-week free beta period was offered for testing.
What you can do with it
- Write and complete code across more than 80 languages
- Generate tests for existing functions
- Fill in partial code using the middle-fill mechanism
- Plug it into VSCode, JetBrains, or frameworks like LangChain
Who it is for
- Developers who want AI code completion in their editor
- Teams adding code generation to an existing toolchain
- Programmers who work across several languages at once
What to watch out for
The free beta was a limited eight-week window, and normal access runs on a usage-based model through your own API key, so costs scale with how much you use it. Generated code should always be reviewed and tested before it ships, since a model can produce plausible but wrong output. A JetBrains researcher reported a 73.75% pass rate on the Kotlin-HumanEval benchmark, but real-world results depend on your task and setup. Check current API terms before you build a workflow around it.
FAQ
What is Codestral?
It is a code generation AI model from Mistral AI trained on 80+ languages.
Is there a free option?
An eight-week free beta period was offered; access is otherwise usage-based.
Where can I use it?
Through its API endpoint and integrations with tools like VSCode, JetBrains, LlamaIndex, and LangChain.
Why it is free
What the official page says： 免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
