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Mistral: Mistral Embed 2312
Free allowance
Up to50requests / minute
via Mistral
- 50,000 tokens / minute
Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively...
- Input
- text
- Output
- embeddings
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Mistral: Mistral Embed 2312 is available with up to 50 requests / minute free through Mistral. Additional limits apply at the same time: 50,000 tokens / minute. Free allowances can change. Check the Mistral: Mistral Embed 2312 provider limits before you start.
To use Mistral: Mistral Embed 2312, choose one of the listed Mistral: Mistral Embed 2312 API providers and follow the provider’s account and API-key setup guide. Copy the Mistral: Mistral Embed 2312 model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Mistral: Mistral Embed 2312 accepts text as listed input formats. Listed output formats include embeddings. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Mistral: Mistral Embed 2312 documentation for supported file types and request formats.
Mistral: Mistral Embed 2312 has a listed context window of 8K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Mistral: Mistral Embed 2312 may be smaller than the context window and can vary by provider.
Neither reasoning nor tool calling support is listed for Mistral: Mistral Embed 2312. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Mistral: Mistral Embed 2312 yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Mistral: Mistral Embed 2312 on examples from your own task alongside context size and provider limits.