GLM 5 API
Released February 2026 | 200K Tokens context | 744B params (40B active) parameters
GLM 5 API enables Long-horizon software engineering agents coordinating multi-stage tool calls and preserved thinking traces, Enterprise copilots drafting technical designs or policy documents that exceed 100K tokens, and Multilingual research assistants orchestrating retrieval, planning, and execution across agent workers. GLM-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. Standout strengths include 744B MoE with 40B active parameters delivers frontier-level quality with efficient routing and Interleaved/Deep Thinking keeps intermediate reasoning while exposing a toggle to control verbosity. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.
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 ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")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 ) 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
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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