cohere

Cohere: Rerank 4 Fast

cohere/rerank-4-fast

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to the OpenRouter catalog, cohere/rerank-4-fast is a Cohere model that accepts text and produces rerank output for search and retrieval-augmented generation. The catalog describes a 32K context window and support for more than 100 languages, positioning it for relevance ordering rather than general text generation. No independent model card or measured benchmark evidence was supplied, so these are catalog-reported capabilities and real-world ranking quality, latency, and workload fit remain unvalidated.[1]

Strengths

Catalog-reported focus on reranking text for search and RAG pipelines.[1]
Catalog reports a 32K context window.[1]
Catalog reports multilingual support across more than 100 languages.[1]

Limitations

Evidence is limited to the OpenRouter catalog; no independent model card or measured benchmark results were supplied, so quality, latency, and workload fit require validation.[1]
The catalog reports no supported request parameters, leaving parameter-level tuning details unknown from this source pack.[1]
The catalog limits it to text input and rerank output, rather than general text generation.[1]

Where to use it

Consider for reranking candidate passages or documents in enterprise search.[1]
Consider for ordering retrieved text before a RAG answer-generation stage.[1]
Consider evaluating on multilingual retrieval workloads where the catalog's reported language coverage matters.[1]

Sources

[1] OpenRouter catalog · Cohere: Rerank 4 FastSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing...

Specifications

Model ID: cohere/rerank-4-fast
Creator: cohere
Added to OpenRouter: 06.04.2026
Context length: 32,768
Modality: text->rerank
Input modalities: text
Output modalities: rerank
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Cohere	32,768	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.