LiteLLMModels

Gigachat 2 Max API Pricing

As of October 10, 2026, Gigachat 2 Max is free to use on GigaChat. It has a 128,000-token context window and returns up to 8,192 tokens per response.

Model ID gigachat/GigaChat-2-MaxPrices updated Checked
Price
Free
Context window
128,000 tokens
Max output
8,192 tokens
Providers
1
Added to LiteLLM
January 2026

Gigachat 2 Max 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/GigaChat-2-Max$0$0128K

What Gigachat 2 Max costs in practice

1,000 requests with 2,000 input and 500 output tokens each

GigaChat$0

100 long-document requests with 100,000 input and 2,000 output tokens each

GigaChat$0

Gigachat 2 Max features

Use Gigachat 2 Max with LiteLLM

Call Gigachat 2 Max through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="gigachat/GigaChat-2-Max",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gigachat-2-max
    litellm_params:
      model: gigachat/GigaChat-2-Max
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gigachat-2-max",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Gigachat 2 Max FAQ

How much does Gigachat 2 Max cost?

Gigachat 2 Max is free to use on GigaChat.

What is the context window of Gigachat 2 Max?

Gigachat 2 Max has a 128,000-token context window and returns up to 8,192 tokens per response.

Which providers offer Gigachat 2 Max?

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

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

Use the LiteLLM Python SDK with model="gigachat/GigaChat-2-Max", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Gigachat 2 Max support?

Gigachat 2 Max supports function calling and image input.

When did LiteLLM add Gigachat 2 Max?

Gigachat 2 Max 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.