Codestral Embed | Mistral AI

Introduces Codestral Embed, a specialized embedding model for code retrieval. It demonstrates superior performance compared to leading competitors (Voyage Code 3, Cohere Embed v4.0, OpenAI's large embedding model). The model offers configurable embedding dimensions and precision (e.g., 256 dimensions with int8 precision), allowing trade-offs between retrieval quality and storage costs. Use cases include RAG for code assistants, semantic code search, similarity search/duplicate detection, and code analytics. It is available via API and batch API, with options for on-prem deployment. Recommends chunking parameters for retrieval use cases.