2026年3月18日AgentsInfrastructureAPI

GLM-5-Turbo: First LLM Built from Scratch for AI Agent Workflows

Zhipu AI (Z.ai) launched GLM-5-Turbo on March 16 — the first large language model built from the training phase specifically for OpenClaw and agent scenarios, rather than retrofitting a general-purpose model.

GLM-5-Turbo is optimized for tool invocation accuracy, multi-step instruction decomposition, and long-running task stability. It costs $1.2 (input) or $4 (output) per million tokens via API, making it significantly cheaper than competing models. The launch caused Zhipu AI's Hong Kong-listed shares to surge 16%.

The model ranked #3 on Product Hunt with 304 upvotes. It is available via API on Z.ai and OpenRouter. While currently closed-source, Zhipu says findings will be folded into their next open-source model release.

This launch signals a new category: agent-native models. Rather than adapting general chat models for agent tasks, GLM-5-Turbo was designed from scratch with agent-specific training objectives — tool calling, task decomposition, and autonomous execution stability. This approach may produce better agent performance at lower cost than fine-tuning general models.

API: https://z.ai
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