Cohere Embed V3 English API Pricing
As of October 10, 2026, Cohere Embed V3 English costs $0.10 per 1M input tokens on Azure AI Foundry. It has a 512-token context window.
- Input
- $0.10 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 512 tokens
- Providers
- 1
- Added to LiteLLM
- October 2024
Cohere Embed V3 English 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 |
|---|---|---|---|---|
| Azure AI Foundry | azure_ai/Cohere-embed-v3-english | $0.10 | $0 | 512 |
What Cohere Embed V3 English costs in practice
Embedding 10,000 documents of 500 tokens each
| Azure AI Foundry | $0.50 |
Use Cohere Embed V3 English with LiteLLM
Call Cohere Embed V3 English 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="azure_ai/Cohere-embed-v3-english",
input=["hello world"],
)model_list:
- model_name: cohere-embed-v3-english
litellm_params:
model: azure_ai/Cohere-embed-v3-english
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/embeddings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "cohere-embed-v3-english",
"input": "hello world"
}'Cohere Embed V3 English FAQ
How much does Cohere Embed V3 English cost?
Cohere Embed V3 English costs $0.10 per 1M input tokens on Azure AI Foundry.
What is the context window of Cohere Embed V3 English?
Cohere Embed V3 English has a 512-token context window.
Which providers offer Cohere Embed V3 English?
Cohere Embed V3 English is available from Azure AI Foundry through LiteLLM, using the model name azure_ai/Cohere-embed-v3-english.
How do I call Cohere Embed V3 English with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="azure_ai/Cohere-embed-v3-english", 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 Cohere Embed V3 English?
Cohere Embed V3 English 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. Provider pricing pages:
LiteLLM docs: Azure AI Foundry.
Provider pages: Azure AI Foundry.
