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Cohere: Rerank 4 Fast

cohere/rerank-4-fast

Released Apr 6, 202632,768 context
$0/M input tokens$0/M output tokens

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 required, and high performance with lowest latency.

Providers for Rerank 4 Fast

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Rerank 4 Fast

Compare different providers across OpenRouter

Effective Pricing for Rerank 4 Fast

Actual cost per million tokens across providers over the past hour

Apps using Rerank 4 Fast

Top public apps this month

Recent activity on Rerank 4 Fast

Total usage per day on OpenRouter

Prompt
0
Completion
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Rerank 4 Fast

Uptime stats for Rerank 4 Fast across all providers

Sample code and API for Rerank 4 Fast

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides a rerank API that reorders documents by relevance to a query. Pass a query and a list of documents, and the model returns them ranked by relevance score.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.