Embed V5.0 Fast API Pricing
As of October 10, 2026, Embed V5.0 Fast costs $0.08 per 1M input tokens on Cohere. It has a 128,000-token context window.
- Input
- $0.08 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 128,000 tokens
- Providers
- 1
- Added to LiteLLM
- October 3, 2026
Embed V5.0 Fast 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 | Context |
|---|---|---|---|---|
| Cohere | cohere/embed-v5.0-fast | $0.08 | $0 | 128K |
What Embed V5.0 Fast costs in practice
Embedding 10,000 documents of 500 tokens each
| Cohere | $0.40 |
Use Embed V5.0 Fast with LiteLLM
Call Embed V5.0 Fast 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.
from litellm import embedding
response = embedding(
model="cohere/embed-v5.0-fast",
input=["hello world"],
)model_list:
- model_name: embed-v5.0-fast
litellm_params:
model: cohere/embed-v5.0-fast
api_key: os.environ/COHERE_API_KEYcurl http://0.0.0.0:4000/v1/embeddings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "embed-v5.0-fast",
"input": "hello world"
}'Embed V5.0 Fast FAQ
How much does Embed V5.0 Fast cost?
Embed V5.0 Fast costs $0.08 per 1M input tokens on Cohere.
What is the context window of Embed V5.0 Fast?
Embed V5.0 Fast has a 128,000-token context window.
Which providers offer Embed V5.0 Fast?
Embed V5.0 Fast is available from Cohere through LiteLLM, using the model name cohere/embed-v5.0-fast.
How do I call Embed V5.0 Fast with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="cohere/embed-v5.0-fast", 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 V5.0 Fast?
Embed V5.0 Fast was added to LiteLLM's model price file on October 3, 2026.
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.
Provider pages: Cohere.
