Rerank 5

Cohere Rerank 5 | More Relevant Context for RAG and Agents Skip to content Rerank 5 is here: sharper search, fewer tokens. Now with Context Focus. Learn more

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Oct 21, 2026

8 minute read

Introducing Rerank 5: precise, efficient enterprise document retrieval Give your AI the most relevant context for each request, now with passage-level precision.

Key takeaways State-of-the-art retrieval : Rerank 5 Pro leads on major public benchmarks, while Rerank 5 Fast delivers near-leading performance at lower cost. Strong across enterprise domains : Rerank 5 establishes itself as a leader across finance, healthcare, scientific research, parsed documents and multilingual retrieval. Context Focus : new to Rerank 5 - a single Rerank call returns the most relevant passages within each document, cutting LLM token costs with minimal loss in answer quality. Calibrated relevance scores : consistent scores across queries and domains let teams set one threshold to decide what reaches the LLM. Deploy anywhere : available through the Cohere API, Model Vault, Microsoft Foundry, Amazon SageMaker, privately in your own VPC or on-premises, and to all North users. Get started with just a few lines of code.

Introduction Today, we're releasing Rerank 5, our most advanced enterprise retrieval models yet, available in Pro and Fast tiers.

Rerank 5 helps teams find the right information, send the most relevant context to their LLMs, and give customers more tailored search experiences. With Rerank 5 Pro, we’ve set a new standard in reranking quality, especially on reasoning-intensive search, visually rich documents, and key enterprise domains. Rerank 5 Fast brings that quality to latency- and cost-sensitive workloads. 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. As agents run more searches over longer documents, retrieval has become a key lever enterprises have over their AI cost, latency, and answer quality.

Rerank 5 joins  Embed 5  and  Parse 5  as part of our latest generation of search models. It is generally available today on the Cohere API and Model Vault , Microsoft Foundry , Amazon SageMaker , and to all North users. API pricing is $0.05 per 1M tokens for Pro and $0.02 for Fast. Performance Rerank 5 Pro leads public benchmarks such as ViDoRe V3 , nanoMTEB , BRIGHT , and BEIR - outperforming every competing model tested. Of the 46 composite datasets evaluated, Rerank 5 Pro ranked first on 39 and placed at least second in 43. Models are evaluated using RCP-nDCG@10 , a Cohere-developed methodology designed to address limitations in traditional nDCG caused by incomplete relevance judgments (qrel coverage).

The advantage is particularly pronounced on BRIGHT, a benchmark testing reasoning-intensive retrieval, where identifying relevant documents requires deeper understanding beyond keyword or semantic similarity. Rerank 5 Pro scores 82.2, outperforming Voyage AI Rerank 3 by 5.8 points and Rerank 4 Pro by 12.4 points, its largest generational gain across the four headline benchmarks. Pro also leads the strongest external competitor by 1.6 points on ViDoRe V3, 1.8 on BEIR, and 3.4 on nanoMTEB. These gains are increasingly important for agentic workflows, where complex, multi-step queries demand the ability to reason about relevance and return evidence that may not closely resemble the original query.

Rerank 5 Fast delivers substantial quality gains in the speed-optimized tier. In all four benchmarks, it outperforms Voyage AI Rerank 3 Lite and Qwen3-Reranker-0.6B, as well as the much larger Qwen3-Reranker-8B and previous-generation Rerank 4 Pro. Headline benchmarks. Reranking quality (RCP-nDCG@10) on four public benchmarks: ViDoRe V3 (8 datasets), BEIR (13), BRIGHT (12) and nanoMTEB (13). Scores are averaged across each benchmark's datasets. Domain-specific performance Across specialized enterprise domains, Rerank 5 demonstrates consistent leadership. In finance and economics, Rerank 5 Pro leads competition on visual retrieval from financial documents (ViDoRe Finance), numerical reasoning over financial reports ( FinQA ), and complex economics questions (BRIGHT Economics). This is where its lead is largest, outperforming Voyage AI Rerank 3 by 9.6 points.

Similar results extend across healthcare, scientific research, and energy-focused retrieval, where...