A 24B open-source text model from Mistral AI that excels at using tools to explore codebases, editing multiple files, and powering software engineering agents. Apache 2.0 license.
Use our main calculator for more detailed estimates including input/output combinations.
Key Features
24 billion parameters
Excels at tool use for codebases
Multi-file editing capabilities
Powers software engineering agents
128K token context window
Open source (Apache 2.0)
Common Use Cases
AI-powered software development tools
Codebase exploration and understanding
Automated code editing and refactoring
Software engineering agents
Frequently Asked Questions
What are Mistral AI's key model offerings in late 2024?
Mistral AI offers a range of models, including open-weight models like Mistral 7B and Mixtral 8x7B (a Mixture of Experts model), specialized models like Codestral for coding, and commercial API models such as Mistral Small, Mistral Large (and potentially a newer "Mistral Large 2" or equivalent). They focus on high performance, efficiency, and often strong multilingual capabilities.
What is Codestral, and what are its main strengths?
Codestral is an open-weight generative model from Mistral AI specifically designed for code-related tasks. It supports a wide range of programming languages (80+) and excels at code generation, completion, explanation, and debugging. It typically has a large context window suitable for understanding code repositories.
How does Mistral AI differentiate its commercial models (e.g., Mistral Large 2) from its open-weight models?
Mistral AI's commercial models, accessed via their API, generally offer higher performance, larger context windows, and potentially more advanced features (like optimized function calling or RAG capabilities) compared to their open-weight counterparts. They are designed for enterprise use cases requiring reliability and cutting-edge performance, while their open models promote broader accessibility and innovation.