GLM 5
latestGLM-5 is Zhipu AI's February 2026 flagship — a 744B-parameter sparse MoE (40B active) with Interleaved (deep) thinking that fuses DeepSeek Sparse Attention and Multi-Token Prediction for frontier reasoning over a 200K-token window.
Input <=32k
Save 20%input tokens
output tokens
Cached $0.17$0.14/1M cached tokens
32k < Input <= 200k
Save 20%input tokens
output tokens
Cached $0.26$0.21/1M 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-5", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=1, stream=True, extra_body={ "enable_thinking": False, } ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
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