# Cohere releases Rerank 5 with passage-level context focus and calibrated scores

Digest AI · Generative AI & Models · published 2026-10-22T16:31:31Z

Canonical: https://digestai.news/story/cohere-releases-rerank-5-with-passage-level-context-focus-and-calibrat

## Summary

Cohere AI announced Rerank 5, a retrieval‑reranking model offered in Pro and Fast tiers. Both versions run on a 32K token context window, support over 100 languages and can be accessed via the Cohere API, Model Vault, Microsoft Foundry, Amazon SageMaker, private VPC or on‑prem. The update adds an optional Context Focus feature that returns scored character spans inside each document, and calibrated relevance scores that read as probabilities.

Cohere reports that the Pro tier ranks first on 39 of 46 composite datasets and scores 82.2 on the BRIGHT benchmark, 5.8 points above Voyage AI Rerank 3. Median latency is 11.7 s per 96‑document request versus 4.1 s for Fast. In internal tests, Context Focus cut tokens by 19 % to 34 % while keeping 57 %‑58 % answer accuracy, and reduced tokens by 41 % on deep‑search benchmarks with accuracy rising from 39 % to 52 %. Calibrated scores achieve an expected calibration error of about 0.06. Pricing is $0.05 per 1 M tokens for Pro and $0.02 for Fast, with Model Vault instances at $4.00 per hour. Integrations include LangChain, Haystack, Elasticsearch and Weaviate. All benchmark figures are self‑reported by Cohere and have not been independently verified.

## Key points

- Pro version tops 39 of 46 composite datasets and scores 82.2 on BRIGHT, 5.8 points above Voyage AI Rerank 3.
- Context Focus can cut tokens by 19‑34% while keeping 57‑58% accuracy, and up to 41% token reduction on deep‑search benchmarks.
- API pricing is $0.05 per 1M tokens for Pro and $0.02 for Fast; both offer a 32K token window.

## Why it matters

Rerank 5 lets developers send fewer, higher‑quality tokens to LLMs, lowering latency and cost for retrieval‑augmented generation and agent pipelines, while offering calibrated scores for better relevance filtering.

## Sources

1. [Cohere Releases Rerank 5 With Passage-Level Context Focus and Calibrated Scores](https://marktechpost.com/2026/10/22/cohere-rerank-5-context-focus) (MarkTechPost, 2026-10-22)

## Cite

Digest AI, "Cohere releases Rerank 5 with passage-level context focus and calibrated scores", 22 October 2026, https://digestai.news/story/cohere-releases-rerank-5-with-passage-level-context-focus-and-calibrat

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