# Gigachat 2 Pro API Pricing

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

- Page: https://models.litellm.ai/models/gigachat-2-pro
- LiteLLM model name: `gigachat/GigaChat-2-Pro`
- Context window: 128,000 tokens
- Max output: 8,192 tokens
- Added to LiteLLM: January 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| GigaChat | `gigachat/GigaChat-2-Pro` | $0 | $0 | – | – | – | 128K |

## Cost examples

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

## Features

Supported: Function calling, Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="gigachat/GigaChat-2-Pro",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Gigachat 2 Pro cost?

Gigachat 2 Pro is free to use on GigaChat.

### What is the context window of Gigachat 2 Pro?

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

### Which providers offer Gigachat 2 Pro?

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

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

Use the LiteLLM Python SDK with model="gigachat/GigaChat-2-Pro", 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 Pro support?

Gigachat 2 Pro supports function calling and image input.

### When did LiteLLM add Gigachat 2 Pro?

Gigachat 2 Pro was added to LiteLLM's model price file in January 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json