Mistral Codestral
Mistral Codestral is a code-focused text generation model from Mistral with a 32,000 token context window.
MistralCode generation model trained on 80+ languages
Mistral Codestral is a code generation model released by Mistral AI in May 2024, designed specifically for programming tasks. It supports over 80 programming languages, including Python, JavaScript, TypeScript, Rust, and Go, and is trained to handle tasks such as code completion, generation, and infilling. Its 32,000 token context window allows it to process and generate substantial amounts of code in a single request.
Codestral is best suited for developer workflows that require inline code completion, function generation, or working within large codebases. It accepts a fill-in-the-middle (FIM) format, enabling it to complete code given both a prefix and a suffix — a technique particularly useful for IDE integrations. The model is available through Mistral's API and has been integrated into tools such as Continue, Tabnine, and other coding assistants.
What Mistral Codestral supports
Code Generation
Generates code from natural language prompts or partial code inputs across 80+ programming languages including Python, JavaScript, and Rust.
Fill-in-the-Middle
Supports FIM (fill-in-the-middle) prompting, allowing the model to complete code given both a prefix and a suffix for precise inline completions.
Large Context Window
Processes up to 32,000 tokens of context, enabling work with large files or multi-file code snippets in a single request.
Code Completion
Provides single-line and multi-line code completions suited for IDE integrations, with a maximum response size of 16,000 tokens.
Multi-language Support
Trained on a dataset spanning over 80 programming languages, covering mainstream and niche languages for broad development use cases.
Ready to build with Mistral Codestral?
Get Started FreeCommon questions about Mistral Codestral
What is the context window size for Mistral Codestral?
Mistral Codestral has a context window of 32,000 tokens, with a maximum response size of 16,000 tokens.
How many programming languages does Codestral support?
Codestral is trained on over 80 programming languages, including Python, JavaScript, TypeScript, Go, Rust, and many others.
Does Codestral support fill-in-the-middle (FIM) prompting?
Yes, Codestral supports FIM prompting, which allows it to complete code when given both a preceding prefix and a following suffix. This is particularly useful for IDE-style inline completions.
When was Mistral Codestral released?
Mistral Codestral was released in May 2024.
What is the pricing for Mistral Codestral on MindStudio?
Pricing details for Mistral Codestral are not published in the current metadata. You can check MindStudio's pricing page or Mistral's official API documentation for the latest rates.
What people think about Mistral Codestral
The Reddit threads provided do not specifically discuss Mistral Codestral, focusing instead on other models such as Llama 4 and Google Gemini.
As a result, no community sentiment, praise, or concerns about Codestral can be accurately derived from these threads.
Google Gemini 3.1 Pro Preview Soon?
I built a fully automated LLM tournament system (62 models tested, 18 qualified, 50 tournaments run)
Benchmark results for Llama 4 Maverick and Scout for DevQualityEval v1.0
Parameters & options
Explore similar models
MistralMinistral 3 3B
Ministral 3 3B is a 3-billion-parameter open-source text generation model from Mistral with a 256,000-token context window.
MistralMinistral 3 8B
Ministral 3 8B is an open-source text generation model from Mistral with a 256,000-token context window.
MistralMinistral 3 14B
Ministral 3 14B is an open-source text generation model from Mistral with a 256,000-token context window.
OpenAIGPT 5.6 Luna
GPT 5.6 Luna is a text and image-input model from OpenAI with a 1,050,000-token context window.
DeepSeekDeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a text generation model from DeepSeek with a 1,048,576-token context window and configurable reasoning effort.
GoogleGemini 3.7 Flash
Gemini 3.7 Flash is a text generation model from Google with a 1,048,576-token context window and configurable thinking levels.
MistralMistral Large 24.02
Mistral Large 24.02 is a text generation model from Mistral with a 128,000-token context window, available via Amazon Bedrock.
MistralMixtral 8x7B Instruct
Mixtral 8x7B Instruct is a sparse mixture-of-experts language model from Mistral, licensed under Apache 2.0.
Start building with Mistral Codestral
No API keys required. Create AI-powered workflows with Mistral Codestral in minutes — free.