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Cohere Rerank v5.0 Fast
No description available yet.
- Input
- Not listed
- Output
- Not listed
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.
Cohere Rerank v5.0 Fast is available with up to 1,000 requests / month free through Cohere. Additional limits apply at the same time: 10 requests / minute. Free allowances can change. Check the Cohere Rerank v5.0 Fast provider limits before you start.
To use Cohere Rerank v5.0 Fast, choose one of the listed Cohere Rerank v5.0 Fast API providers and follow the provider’s account and API-key setup guide. Copy the Cohere Rerank v5.0 Fast 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.
Input formats for Cohere Rerank v5.0 Fast aren’t listed yet. Output formats for Cohere Rerank v5.0 Fast aren’t listed yet. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Cohere Rerank v5.0 Fast documentation for supported file types and request formats.
Neither reasoning nor tool calling support is listed for Cohere Rerank v5.0 Fast. 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 Cohere Rerank v5.0 Fast 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 Cohere Rerank v5.0 Fast on examples from your own task alongside context size and provider limits.