const showGuides = () => {
document.querySelector('.model-page-guides').style.display = 'flex';
document.querySelector('.model-page-playground').style.display = 'none';
document.querySelector('.guides').classList.add('active');
document.querySelector('.playground').classList.remove('active');
};
const showPlayground = () => {
document.querySelector('.model-page-guides').style.display = 'none';
document.querySelector('.model-page-playground').style.display = 'block';
document.querySelector('.guides').classList.remove('active');
document.querySelector('.playground').classList.add('active');
};
return ;
};

[Back to all models](/guides/more-models-overview)

# cohere-rerank-4-fast

### Overview

Cohere Rerank 4.0 Fast (`cohere-rerank-4-fast`) is the latest iteration in Cohere's Rerank model series, succeeding Cohere Rerank v3.5. It improves relevance quality on queries that express explicit or implicit constraints, and it retains multilingual support for 100+ languages with strong performance in domains like finance and hospitality.

Cohere Rerank 4.0 is hosted on Azure AI under the Global Standard deployment type, and requests may be processed in regions outside the United States.

:::callout{intent="note"}
`cohere-rerank-4-fast` replaces [`cohere-rerank-3.5`](/guides/more-models-cohere-rerank-3-5), which is deprecated. Since August 31, 2026, requests to `cohere-rerank-3.5` are served by `cohere-rerank-4-fast`. Because the two models return different relevance scores, update your rerank requests to specify `cohere-rerank-4-fast` and re-tune any hard-coded score thresholds against it.
:::

:::callout{intent="note"}
Reranking with `cohere-rerank-4-fast` is billed per rerank unit. Most requests count as a single unit. One rerank unit covers a query plus up to 100 documents, and documents longer than about 500 tokens are split into \~500-token chunks that each count toward that 100, so a request with more than 100 chunks costs more than one unit. Before the transition, `cohere-rerank-3.5` billed one unit per request. To keep cost and latency predictable, use `max_tokens_per_doc` to truncate long documents. For details, see [Understanding cost](/guides/manage-cost-understanding-cost#reranking).
:::

### Installation

```python theme={null}
pip install -U pinecone
```

### Reranking

See [rerank](/guides/index-data-search-rerank-results) to learn more about reranking.

```python theme={null}
from pinecone import Pinecone

pc = Pinecone("API-KEY")

query = "Tell me about Apple's products"
results = pc.inference.rerank(
    model="cohere-rerank-4-fast",
    query=query,
    documents=[
"Apple is a popular fruit known for its sweetness and crisp texture.",
"Apple is known for its innovative products like the iPhone.",
"Many people enjoy eating apples as a healthy snack.",
"Apple Inc. has revolutionized the tech industry with its sleek designs and user-friendly interfaces.",
"An apple a day keeps the doctor away, as the saying goes.",
    ],
    top_n=3,
    return_documents=True
)

print(query)
for r in results.data:
  print(r.score, r.document.text)

```

Lorem Ipsum

## Related pages

- [Account management](./account-management-index.md)
- [Admin](./admin-2-index.md)
- [Admin](./admin-index.md)
- [APIs](./apis-index.md)
- [Architecture](./architecture-index.md)
- [Assistants](./assistants-index.md)
- [Bring Your Own Cloud](./bring-your-own-cloud-index.md)
- [Build an assistant](./build-an-assistant-index.md)
- [Build an integration](./build-an-integration-index.md)
- [Changelog](./changelog-index.md)

# Agent Instructions

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