Embed Multilingual V3.0 API Pricing
As of October 10, 2026, Embed Multilingual V3.0 costs $0.10 per 1M input tokens on Cohere. It has a 512-token context window.
- Input
- $0.10 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 512 tokens
- Providers
- 2
- Added to LiteLLM
- August 2024
Embed Multilingual 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.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| Cohere | embed-multilingual-v3.0 | $0.10 | $0 | 512 |
| Oracle Cloud (OCI) | oci/cohere.embed-multilingual-v3.0 | $0.10 | $0 | 512 |
What Embed Multilingual V3.0 costs in practice
Embedding 10,000 documents of 500 tokens each
| Cohere | $0.50 |
| Oracle Cloud (OCI) | $0.50 |
Use Embed Multilingual V3.0 with LiteLLM
Call Embed Multilingual 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.
from litellm import embedding
response = embedding(
model="embed-multilingual-v3.0",
input=["hello world"],
)model_list:
- model_name: embed-multilingual-v3.0
litellm_params:
model: embed-multilingual-v3.0
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-multilingual-v3.0",
"input": "hello world"
}'Embed Multilingual V3.0 FAQ
How much does Embed Multilingual V3.0 cost?
Embed Multilingual V3.0 costs $0.10 per 1M input tokens on Cohere.
What is the context window of Embed Multilingual V3.0?
Embed Multilingual V3.0 has a 512-token context window.
Which providers offer Embed Multilingual V3.0?
Embed Multilingual V3.0 is available from 2 providers through LiteLLM: Cohere and Oracle Cloud (OCI).
How do I call Embed Multilingual V3.0 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="embed-multilingual-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 Multilingual V3.0?
Embed Multilingual 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).
