GLM-5-Turbo
High-speed agentic model built specifically for OpenClaw
GLM-5-Turbo launched on March 16, 2026 with 289 votes, #97 of 23,380 launches that month and more than 99% of that year's launches.
In plain words
GLM-5-Turbo is a high-speed AI model from Z.ai designed specifically for OpenClaw, optimized from training to handle agentic workflows. It specializes in precise tool calling, complex command following, and long-chain task execution with minimal hallucinations. The model is built for users who need reliable automation across scheduled and persistent tasks, delivering faster performance than the standard GLM-5 for real-world agent applications.
written from the facts on this page · September 2026
From the sources
GLM-5-Turbo is Z.ai’s high-speed variant of GLM-5, deeply optimized for OpenClaw from the training stage. It excels at precise tool calling, complex command following, scheduled and persistent tasks, and long-chain execution with near-zero hallucinations. Faster, more reliable, and purpose-built for real agent workflows.
Use this file to discover all available pages before exploring further. curl -X POST "https://api.z.ai/api/paas/v4/chat/completions" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer your-api-key" \ -d '{ "model": "glm-5-turbo", "messages": [ { "role": "user", "content": "As a marketing expert, please create an attractive slogan for my product." }, { "role": "assistant", "content": "Sure, to craft a compelling slogan, please tell me more about your product." }, { "role": "user", "content": "Z.AI Open Platform" } ], "thinking": { "type": "enabled" }, "max_tokens": 4096, "temperature": 1.0 }' Streaming Call curl -X POST "https://api.z.ai/api/paas/v4/chat/completions" \ -H…from docs.z.ai
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Getting GLM 5.2 running on my slow computerJul 2026 · github.com · ▲937A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…




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