# Rerank V4.0 Fast API Pricing

As of October 10, 2026, Rerank V4.0 Fast costs $2.00 per 1K queries on Cohere. It has a 32,768-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/rerank-v4.0-fast
- Lab: Cohere
- LiteLLM model name: `rerank-v4.0-fast`
- Context window: 32,768 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: September 8, 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Cohere | `rerank-v4.0-fast` | $0 | $0 | – | – | – | 32K |

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="rerank-v4.0-fast",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Rerank V4.0 Fast cost?

Rerank V4.0 Fast costs $2.00 per 1K queries on Cohere.

### What is the context window of Rerank V4.0 Fast?

Rerank V4.0 Fast has a 32,768-token context window and returns up to 32,768 tokens per response.

### Which providers offer Rerank V4.0 Fast?

Rerank V4.0 Fast is available from Cohere through LiteLLM, using the model name rerank-v4.0-fast.

### How do I call Rerank V4.0 Fast with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="rerank-v4.0-fast", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/rerank from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add Rerank V4.0 Fast?

Rerank V4.0 Fast was added to LiteLLM's model price file on September 8, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json