LiteLLMModels

Rerank English V3.0 API Pricing

As of October 10, 2026, Rerank English V3.0 costs $2.00 per 1K queries on Cohere. It has a 4,096-token context window and returns up to 4,096 tokens per response.

By CohereModel ID rerank-english-v3.0Prices updated Checked
Input
$0 / 1M tokens
Output
$0 / 1M tokens
Context window
4,096 tokens
Max output
4,096 tokens
Providers
1
Added to LiteLLM
October 2024

Rerank English V3.0 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.

ProviderModel name in LiteLLMInputOutputPer 1K queriesContext
Coherererank-english-v3.0$0$0$2.004K

Use Rerank English V3.0 with LiteLLM

Call Rerank English V3.0 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.

Python SDK
from litellm import completion

response = completion(
    model="rerank-english-v3.0",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: rerank-english-v3.0
    litellm_params:
      model: rerank-english-v3.0
      api_key: os.environ/COHERE_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "rerank-english-v3.0",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Rerank English V3.0 FAQ

How much does Rerank English V3.0 cost?

Rerank English V3.0 costs $2.00 per 1K queries on Cohere.

What is the context window of Rerank English V3.0?

Rerank English V3.0 has a 4,096-token context window and returns up to 4,096 tokens per response.

Which providers offer Rerank English V3.0?

Rerank English V3.0 is available from Cohere through LiteLLM, using the model name rerank-english-v3.0.

How do I call Rerank English V3.0 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="rerank-english-v3.0", 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 English V3.0?

Rerank English V3.0 was added to LiteLLM's model price file in October 2024.

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: Cohere.

Provider pages: Cohere.