# Cohere — Introducing Rerank 5: precise, efficient enterprise document retrieval

- Company: Cohere (cohere.com)
- Announced: 2026-10-21
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://cohere.com/blog/rerank-5
- Record: https://forck.live/items/25975-introducing-rerank-5-precise-efficient-enterprise-document-retrieval
- Subject: Command
- Models affected: Rerank 5, Rerank 5 Pro, Rerank 5 Fast, Rerank 4 Pro, Voyage AI Rerank 3, Voyage AI Rerank 3 Lite, Qwen3-Reranker-0.6B, Qwen3-Reranker-8B, Embed 5, Parse 5
- Pricing: API pricing is $0.05 per 1M tokens for Pro and $0.02 for Fast

Cohere released Rerank 5, its enterprise retrieval models in Pro and Fast tiers, which it says are its most advanced yet, and priced API access at $0.05 per 1M tokens for Pro and $0.02 for Fast. Both tiers add Context Focus, which returns the most relevant passages within each document rather than whole documents or chunks, cutting the tokens an LLM reads and therefore its cost. Cohere says Rerank 5 Pro leads public benchmarks including ViDoRe V3, nanoMTEB, BRIGHT and BEIR, ranking first on 39 of 46 composite datasets and at least second on 43. On BRIGHT, which tests reasoning-intensive retrieval, Cohere reports Pro scores 82.2, ahead of Voyage AI Rerank 3 by 5.8 points and Rerank 4 Pro by 12.4 points. Rerank 5 Fast is the speed-optimized tier: Cohere says it reranks about 187 standard-length documents per second on an NVIDIA A100 GPU, 2.9x the throughput of Pro, with nearly 3x faster response times. The models are generally available on the Cohere API, Model Vault, Microsoft Foundry, Amazon SageMaker, privately in a VPC or on-premises, and to all North users.

## Evidence

Verbatim from https://cohere.com/blog/rerank-5:

> Both models introduce Context Focus , which pinpoints the most relevant spans of text within documents, going beyond document- or chunk-level retrieval to surface precisely the information that matters. Every token your LLM reads is a token you pay for, and retrieval decides which tokens those are.

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