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Embed v5.0 pro
Free allowance
Up to1,000requests / month
via Cohere
- 2,000 inputs / minute
Cohere's most capable embedding model for quality-critical enterprise retrieval across text, images, and mixed content such as PDFs. Embed 5 Pro supports over 100 languages and a 128,000-token context window, with output dimensions from 256 to 2,048. It shares an embedding space with Embed 5 Fast, enabling Pro indexing with Fast querying.
- Input
- text
- Output
- text
Providers
Available through 2 free providers. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* 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.
Embed v5.0 pro is available with up to 1,000 requests / month free through Cohere. Additional limits apply at the same time: 2,000 inputs / minute. Free allowances can change. Check the Embed v5.0 pro provider limits before you start.
To use Embed v5.0 pro, choose one of the listed Embed v5.0 pro API providers and follow the provider’s account and API-key setup guide. Copy the Embed v5.0 pro 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.
Embed v5.0 pro accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Embed v5.0 pro documentation for supported file types and request formats.
Embed v5.0 pro has a listed context window of 128K 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 Embed v5.0 pro may be smaller than the context window and can vary by provider.
Neither reasoning nor tool calling support is listed for Embed v5.0 pro. 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 Embed v5.0 pro 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 Embed v5.0 pro on examples from your own task alongside context size and provider limits.