Cohere Rerank V5 Pro

cohere-rerank-v5-pro · Cohere

cohere-rerank-v5-pro is Cohere's enterprise search and retrieval-augmented generation (RAG) reranking model. It can reorder retrieval results based on query relevance, supports multiple languages, and provides stable relevance scoring to help filter out irrelevant content. Its Context Focus feature can also extract the most relevant passages from documents, reducing the language model's token consumption and response latency.

API Pricing

Input$0.05 / 1M tokens
Output$0.05 / 1M tokens

Specifications

Modalitiestext

Frequently asked questions

What is Cohere Rerank V5 Pro?

cohere-rerank-v5-pro is Cohere's enterprise search and retrieval-augmented generation (RAG) reranking model. It can reorder retrieval results based on query relevance, supports multiple languages, and provides stable relevance scoring to help filter out irrelevant content. Its Context Focus feature can also extract the most relevant passages from documents, reducing the language model's token consumption and response latency.

How much does Cohere Rerank V5 Pro cost?

On AIHubMix, Cohere Rerank V5 Pro costs $0.05 per million input tokens and $0.05 per million output tokens.

What modalities does Cohere Rerank V5 Pro support?

Cohere Rerank V5 Pro accepts text input.

How do I call Cohere Rerank V5 Pro via API?

Cohere Rerank V5 Pro is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to cohere-rerank-v5-pro — no other code changes needed.

Who created Cohere Rerank V5 Pro?

Cohere Rerank V5 Pro is developed by Cohere. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

When was Cohere Rerank V5 Pro released?

Cohere Rerank V5 Pro was released in October 2026 by Cohere.

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Use Cohere Rerank V5 Pro via the AIHubMix unified API — one interface for every major LLM.