LLM Reference

Cohere Rerank Models by Cohere

CohereProprietary
6 models2024–2025Up to 32k ctx

Details

ResearcherCohere
LicenseProprietary
Commercial useCommercial use: conditional
Models6
Released2024–2025
Max context32k

Links

Website

About

Cohere reranking models for improving search and RAG result relevance.

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

6 in view

Use when the workload needs ranking and 32k context.

2025-04ranking32k context

Use when the workload needs ranking and 32k context.

2025-04ranking32k context

Use when provider availability and model metadata match the workload.

2024-10

Use when the workload needs ranking and 4k context.

2024-08ranking4k context

Use when the workload needs ranking and 4k context.

2024-02ranking4k context

Use when the workload needs ranking and 4k context.

2024-02ranking4k context

Release Timeline

4 release groups
2025-04
2 current
Cohere Rerank v4.0 Fast
ranking32k context
Current
Cohere Rerank v4.0 Pro
ranking32k context
Current
2024-10
1 current
2024-08
1 current
Cohere Rerank v3.5
ranking4k context
Current
2024-02
2 current
Current
Current

Specifications(6 models)

Cohere Rerank model specifications comparison
ModelReleasedContext
Cohere Rerank v4.0 Pro2025-0432k
Cohere Rerank v4.0 Fast2025-0432k
Cohere Rerank 3.52024-10
Cohere Rerank v3.52024-084k
Cohere Rerank English v3.02024-024k
Cohere Rerank Multilingual v3.02024-024k

Frequently Asked Questions

What is Cohere Rerank used for?
Cohere Rerank is used for ranking and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
How does Cohere Rerank compare to Command?
Cohere Rerank by Cohere is strongest where you need ranking, while Command by Cohere is the closest related family to check for multilingual. Cohere Rerank has 6 listed variants and reaches up to 32k context, while Command reaches up to 256k context, so compare the specs and pricing tables before choosing a production model.
Which Cohere Rerank model should I use?
If price is the main constraint, use the pricing table first because Cohere Rerank does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Cohere Rerank v4.0 Pro with 32k context.