Embeddings API Pricing
As of October 10, 2026, Embeddings is free to use on GigaChat. It has a 512-token context window.
- Price
- Free
- Context window
- 512 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
Embeddings 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 |
|---|---|---|---|---|
| GigaChat | gigachat/Embeddings | $0 | $0 | 512 |
What Embeddings costs in practice
Embedding 10,000 documents of 500 tokens each
| GigaChat | $0 |
Use Embeddings with LiteLLM
Call Embeddings 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="gigachat/Embeddings",
input=["hello world"],
)model_list:
- model_name: embeddings
litellm_params:
model: gigachat/Embeddings
# 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": "embeddings",
"input": "hello world"
}'Embeddings FAQ
How much does Embeddings cost?
Embeddings is free to use on GigaChat.
What is the context window of Embeddings?
Embeddings has a 512-token context window.
Which providers offer Embeddings?
Embeddings is available from GigaChat through LiteLLM, using the model name gigachat/Embeddings.
How do I call Embeddings with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="gigachat/Embeddings", 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 Embeddings?
Embeddings was added to LiteLLM's model price file in January 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.
LiteLLM docs: GigaChat.
Provider pages: GigaChat.
