# Rerank API Pricing

As of October 10, 2026, Rerank costs $1.00 per 1K queries on Amazon Bedrock. It has a 32,000-token context window and returns up to 32,000 tokens per response.

- Page: https://models.litellm.ai/models/rerank
- Lab: Amazon
- LiteLLM model name: `amazon.rerank-v1:0`
- Context window: 32,000 tokens
- Max output: 32,000 tokens
- Added to LiteLLM: February 2025
- 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 |
|---|---|---|---|---|---|---|---|
| Amazon Bedrock | `amazon.rerank-v1:0` | $0 | $0 | – | – | – | 32K |

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="amazon.rerank-v1:0",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Rerank cost?

Rerank costs $1.00 per 1K queries on Amazon Bedrock.

### What is the context window of Rerank?

Rerank has a 32,000-token context window and returns up to 32,000 tokens per response.

### Which providers offer Rerank?

Rerank is available from Amazon Bedrock through LiteLLM, using the model name amazon.rerank-v1:0.

### How do I call Rerank with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="amazon.rerank-v1:0", 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?

Rerank was added to LiteLLM's model price file in February 2025.

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