glm-5-turbo

GLM-5 Turbo is a specialized model engineered for developers building autonomous agentic workflows. While many models focus on raw parameter count, this version prioritizes low-latency inference and high reliability in multi-step reasoning tasks, specifically optimized for environments like OpenClaw. It excels in scenarios where an LLM must act as a controller—calling tools, managing state, and executing iterative loops without significant drift. With a 200k context window, it provides sufficient headroom for long-running agent sessions and complex RAG pipelines. For developers migrating from larger, slower models, GLM-5 Turbo offers a pragmatic balance: it maintains high instruction-following accuracy while significantly reducing the cost and time-per-token overhead typical of heavy-duty reasoning models. It is best utilized as the 'brain' of an agentic loop rather than a standalone chatbot.