GLM 4.6

GLM 4.6

latest
Model IDglm-4.6
Compare with other models

GLM-4.6 expands to 200K context with stronger coding, reasoning, agentic tool use, and writing versus GLM-4.5.

200K Tokens ContextFast InferenceCodingFunction CallingMultilingual
Save 20%
$0.75$0.60/1M

input tokens

$2.75$2.20/1M

output tokens

Cached $0.14$0.11/1M cached tokens

from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="zai-org/GLM-4.6", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=1, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")

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