Cohere Rerank 3.5 (New)

The cohere.rerank.3-5 model takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score. The relevance score is how the model ranks the documents, that's, how well each text matches the query.

Available in These Regions

  • Brazil East (Sao Paulo) (dedicated AI cluster only)
  • Germany Central (Frankfurt) (dedicated AI cluster only)
  • Japan Central (Osaka) (dedicated AI cluster only)
  • UK South (London) (dedicated AI cluster only)
  • US Midwest (Chicago) (dedicated AI cluster only)

Key Features

  • Dedicated mode only.
  • Not available on-demand or in the playground.
  • Access the model that's hosted on a cluster through API and SDK.
  • For dedicated mode, create an endpoint on a hosting dedicated AI cluster, host the model on the cluster, and then run the RerankText API or its relevant SDK.

Dedicated AI Cluster for the Model

To reach a model through a dedicated AI cluster in any listed region, you must create an endpoint for that model on a dedicated AI cluster. For the cluster unit size that matches this model, see the following table.

Base Model Fine-Tuning Cluster Hosting Cluster Pricing Page Information Request Cluster Limit Increase
  • Model Name: Cohere Rerank 3.5
  • OCI Model Name: cohere.rerank.3-5
Not available for fine-tuning
  • Unit Size: RERANK_COHERE
  • Required Units: 1
  • Pricing Page Product Name: Cohere Rerank - Dedicated
  • Limit Name: dedicated-unit-rerank-cohere-count
  • For Hosting, Request Limit Increase by: 1
Tip

  • If you don't have enough cluster limits in your tenancy for hosting the Cohere Rerank 3.5 model on a dedicated AI cluster, request the dedicated-unit-rerank-cohere-count limit to increase by 1.

  • Review the Cohere Rerank 3.5 cluster performance benchmarks for different scenarios.

Release and Retirement Dates

Model Release Date On-Demand Retirement Date Dedicated Mode Retirement Date
cohere.rerank.3-5 2025-05-14 The on-demand option isn't available for this model. At least 6 months after the release of the 1st replacement model.
Important

For a list of all model time lines and retirement details, see Retiring the Models.

Rerank Model Parameter

For the Rerank model parameters, see the RerankText API documentation.