LiteLLMModels

Embeddings 2 API Pricing

As of October 10, 2026, Embeddings 2 is free to use on GigaChat. It has a 512-token context window.

Model ID gigachat/Embeddings-2Prices updated Checked
Price
Free
Context window
512 tokens
Providers
1
Added to LiteLLM
January 2026

Embeddings 2 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.

ProviderModel name in LiteLLMInputOutputContext
GigaChatgigachat/Embeddings-2$0$0512

What Embeddings 2 costs in practice

Embedding 10,000 documents of 500 tokens each

GigaChat$0

Use Embeddings 2 with LiteLLM

Call Embeddings 2 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.

Python SDK
from litellm import embedding

response = embedding(
    model="gigachat/Embeddings-2",
    input=["hello world"],
)
Proxy config.yaml
model_list:
  - model_name: embeddings-2
    litellm_params:
      model: gigachat/Embeddings-2
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "embeddings-2",
    "input": "hello world"
  }'

Embeddings 2 FAQ

How much does Embeddings 2 cost?

Embeddings 2 is free to use on GigaChat.

What is the context window of Embeddings 2?

Embeddings 2 has a 512-token context window.

Which providers offer Embeddings 2?

Embeddings 2 is available from GigaChat through LiteLLM, using the model name gigachat/Embeddings-2.

How do I call Embeddings 2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="gigachat/Embeddings-2", 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 2?

Embeddings 2 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.