LiteLLMModels

Embed English V3.0 API Pricing

As of October 10, 2026, Embed English V3.0 costs $0.10 per 1M input tokens on Cohere. It has a 512-token context window.

By CohereModel ID embed-english-v3.0Prices updated Checked
Input
$0.10 / 1M tokens
Output
$0 / 1M tokens
Context window
512 tokens
Providers
2
Added to LiteLLM
August 2024

Embed English V3.0 pricing by provider

2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Cohereembed-english-v3.0$0.10$0512
Oracle Cloud (OCI)oci/cohere.embed-english-v3.0$0.10$0512

Other Embed English V3.0 prices on Cohere

Input image$0.0001 per image

What Embed English V3.0 costs in practice

Embedding 10,000 documents of 500 tokens each

Cohere$0.50
Oracle Cloud (OCI)$0.50

Use Embed English V3.0 with LiteLLM

Call Embed English V3.0 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/embeddings. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import embedding

response = embedding(
    model="embed-english-v3.0",
    input=["hello world"],
)
Proxy config.yaml
model_list:
  - model_name: embed-english-v3.0
    litellm_params:
      model: embed-english-v3.0
      api_key: os.environ/COHERE_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "embed-english-v3.0",
    "input": "hello world"
  }'

Embed English V3.0 FAQ

How much does Embed English V3.0 cost?

Embed English V3.0 costs $0.10 per 1M input tokens on Cohere.

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

Embed English V3.0 has a 512-token context window.

Which providers offer Embed English V3.0?

Embed English V3.0 is available from 2 providers through LiteLLM: Cohere and Oracle Cloud (OCI).

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

Use the LiteLLM Python SDK with model="embed-english-v3.0", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

When did LiteLLM add Embed English V3.0?

Embed English V3.0 was added to LiteLLM's model price file in August 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. Provider pricing pages:

LiteLLM docs: Cohere, Oracle Cloud (OCI).

Provider pages: Cohere, Oracle Cloud (OCI).