Codestral

Codestral is an AI model built for code generation tasks.

InternationalSelectionProgrammingCode GenerationAI-Assisted Development

Codestral, the first code generation AI model from the Mistral AI team, empowers developers to write and interact with code through shared instructions and completion API endpoints. Trained on over 80 programming languages, including Python, Java, C, C++, JavaScript, and Bash, Codestral can perform coding tasks, generate tests, and utilize a middle-fill mechanism to complete portions of code. Codestral sets a new performance standard with its 32k context window, surpassing all other models on RepoBench, which is significantly larger than competitors' 4k, 8k, or 16k windows. It offers a dedicated API endpoint, codestral.mistral.ai, allowing users to integrate it into their IDEs using Instruct or Fill-In-the-Middle routing and provides a free beta period of 8 weeks. Codestral is also integrated into popular application frameworks like LlamaIndex and LangChain, as well as development environments such as VSCode and JetBrains, enabling developers to generate and interact with code seamlessly within these platforms.

Supports 80+ programming languages
including Python
Java
C
C++
and more.
Can perform coding tasks
write tests
and use a middle-fill mechanism to complete portions of code.
Features a 32k context window

Codestral is designed for software developers looking to improve their coding efficiency and code quality. It helps developers save time and enhance code quality by providing features like code auto-completion
test writing
and error reduction. Furthermore
it supports numerous programming languages and development environments
making it an ideal choice for multilingual projects and team collaboration.

Developer Nate Sesti stated that Codestral's public auto-completion model offers unprecedented speed and quality
promising a transformative impact on global developers.
JetBrains' Vladislav Tankov expressed excitement about Mistral's demonstrated capabilities in coding and development assistance.
Through testing on the Kotlin-HumanEval benchmark
JetBrains researcher Mikhail Evtikhiev achieved a 73.75% pass rate with Codestral

Download and test the Codestral model.
Obtain Codestral through the HuggingFace platform.
Utilize the dedicated API endpoint codestral.mistral.ai and authenticate using your personal API key.
Create an account on La Plateforme and follow the guidelines to begin using Codestral for building applications.
Integrate Codestral into application frameworks like LlamaIndex and LangChain to simplify development workflows.

Visit

Codestral Visit Over Time

Monthly Visits

2820763

Bounce Rate

38.54%

Page per Visit

4.0

Visit Duration

00:04:50

Codestral Visit Trend

Codestral Visit Geography

Codestral Traffic Sources

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Codestral

Codestral Visit Over Time

Codestral Visit Trend

Codestral Visit Geography

Codestral Traffic Sources

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