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.
- Input
- $0 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 32,000 tokens
- Max output
- 32,000 tokens
- Providers
- 1
- Added to LiteLLM
- February 2025
Rerank pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Per 1K queries | Context |
|---|---|---|---|---|---|
| Amazon Bedrock | amazon.rerank-v1:0 | $0 | $0 | $1.00 | 32K |
Use Rerank with LiteLLM
Call Rerank through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/rerank. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="amazon.rerank-v1:0",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: rerank
litellm_params:
model: amazon.rerank-v1:0
aws_region_name: os.environ/AWS_REGION_NAMEcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "rerank",
"messages": [{"role": "user", "content": "Hello!"}]
}'Rerank 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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: Amazon Bedrock.
Provider pages: Amazon Bedrock.
