BGE En Icl API Pricing
As of October 10, 2026, BGE En Icl costs $0.01 per 1M input tokens on Nebius AI Studio. It has a 32,768-token context window.
- Input
- $0.01 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- March 2026
BGE En Icl 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 |
|---|---|---|---|---|
| Nebius AI Studio | nebius/BAAI/bge-en-icl | $0.01 | $0 | 32K |
What BGE En Icl costs in practice
Embedding 10,000 documents of 500 tokens each
| Nebius AI Studio | $0.05 |
Use BGE En Icl with LiteLLM
Call BGE En Icl 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="nebius/BAAI/bge-en-icl",
input=["hello world"],
)model_list:
- model_name: bge-en-icl
litellm_params:
model: nebius/BAAI/bge-en-icl
# 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": "bge-en-icl",
"input": "hello world"
}'BGE En Icl FAQ
How much does BGE En Icl cost?
BGE En Icl costs $0.01 per 1M input tokens on Nebius AI Studio.
What is the context window of BGE En Icl?
BGE En Icl has a 32,768-token context window.
Which providers offer BGE En Icl?
BGE En Icl is available from Nebius AI Studio through LiteLLM, using the model name nebius/BAAI/bge-en-icl.
How do I call BGE En Icl with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="nebius/BAAI/bge-en-icl", 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 BGE En Icl?
BGE En Icl was added to LiteLLM's model price file in March 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: Nebius AI Studio.
Provider pages: Nebius AI Studio.
