large language
GLM 4.7
GLM 4.7Frontier open model with advanced coding, agentic, and reasoning capabilities by Z AI
Model details
Example usage
GLM 4.7 uses interleaved reasoning, where previous reasoning traces are passed back to the model.
Thinking is turned off by default, and can be enabled as shown below when using the OpenAI SDK or via chat_template_args over cURL.
Input
1# You can use this model with any of the OpenAI clients in any language!
2# Simply change the API Key to get started
3
4from openai import OpenAI
5
6client = OpenAI(
7 api_key="YOUR_API_KEY",
8 base_url="https://inference.baseten.co/v1"
9)
10
11response = client.chat.completions.create(
12 model="zai-org/GLM-4.7",
13 messages=[
14 {
15 "role": "user",
16 "content": "Implement Hello World in Python"
17 }
18 ],
19 extra_body={"chat_template_args": {"enable_thinking": True}},
20 stream=True,
21 stream_options={
22 "include_usage": True,
23 "continuous_usage_stats": True
24 },
25 top_p=1,
26 max_tokens=1000,
27 temperature=1,
28 presence_penalty=0,
29 frequency_penalty=0
30)
31
32for chunk in response:
33 if chunk.choices and chunk.choices[0].delta.content is not None:
34 print(chunk.choices[0].delta.content, end="", flush=True)JSON output
1{
2 "id": "143",
3 "choices": [
4 {
5 "finish_reason": "stop",
6 "index": 0,
7 "logprobs": null,
8 "message": {
9 "content": "[Model output here]",
10 "role": "assistant",
11 "audio": null,
12 "function_call": null,
13 "tool_calls": null
14 }
15 }
16 ],
17 "created": 1741224586,
18 "model": "",
19 "object": "chat.completion",
20 "service_tier": null,
21 "system_fingerprint": null,
22 "usage": {
23 "completion_tokens": 145,
24 "prompt_tokens": 38,
25 "total_tokens": 183,
26 "completion_tokens_details": null,
27 "prompt_tokens_details": null
28 }
29}
