# GLM 4.7 251222 API Pricing

As of October 10, 2026, GLM 4.7 251222 is free to use on Volcano Engine. It has a 204,800-token context window and returns up to 131,072 tokens per response.

- Page: https://models.litellm.ai/models/glm-4-7-251222
- Lab: Z.ai
- LiteLLM model name: `glm-4-7-251222`
- Context window: 204,800 tokens
- Max output: 131,072 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 |
|---|---|---|---|---|---|---|---|
| Volcano Engine | `glm-4-7-251222` | $0 | $0 | – | – | – | 200K |

## Cost examples

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

- Volcano Engine: $0

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

- Volcano Engine: $0

## Features

Supported: Function calling, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="glm-4-7-251222",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does GLM 4.7 251222 cost?

GLM 4.7 251222 is free to use on Volcano Engine.

### What is the context window of GLM 4.7 251222?

GLM 4.7 251222 has a 204,800-token context window and returns up to 131,072 tokens per response.

### Which providers offer GLM 4.7 251222?

GLM 4.7 251222 is available from Volcano Engine through LiteLLM, using the model name glm-4-7-251222.

### How do I call GLM 4.7 251222 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="glm-4-7-251222", 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 GLM 4.7 251222 support?

GLM 4.7 251222 supports function calling, reasoning and prompt caching.

### When did LiteLLM add GLM 4.7 251222?

GLM 4.7 251222 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