Mistral: Codestral Embed
Codestral Embed is an embedding model from Mistral released on May 28, 2025. It reads text and writes vectors, with a 8K token context window.
- Modalities
- In / out price
- n/a
- Context
- 8K
- Max output
- 2K
- Released
- May 28, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Supported request parameters
What you can set when you call Codestral Embed through an OpenAI compatible API.
- Temperature
temperature
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Codestral Embed questions
What is the context window of Codestral Embed?
8,192 tokens of input, and it can write up to 1,536 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Is Codestral Embed open source?
No. Mistral serves it through an API only, so you cannot download the weights or host it yourself.
When was Codestral Embed released?
May 28, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Codestral Embed?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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