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.
- Price
- Free
- Context window
- 204,800 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
GLM 4.7 251222 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 |
|---|---|---|---|---|
| Volcano Engine | glm-4-7-251222 | $0 | $0 | 200K |
What GLM 4.7 251222 costs in practice
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 |
GLM 4.7 251222 features
- Function calling
- Reasoning
- Prompt caching
Use GLM 4.7 251222 with LiteLLM
Call GLM 4.7 251222 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.
from litellm import completion
response = completion(
model="glm-4-7-251222",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: glm-4-7-251222
litellm_params:
model: glm-4-7-251222
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "glm-4-7-251222",
"messages": [{"role": "user", "content": "Hello!"}]
}'GLM 4.7 251222 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.
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: Volcano Engine.
Provider pages: Volcano Engine.
