GLM-5 Turbo

GLM-5 Turbo is a foundation model from Z.AI that is built from the ground up for the OpenClaw scenario, an agent-driven workflow that blends tool use, command following, timed and persistent tasks, and long-chain execution. Rather than treating these as surface-level prompting concerns, the model has been optimized for them during training, so reliability on multi-step agent traces is a first-class design goal rather than an afterthought. Z.AI markets the model as a ClawBench Enhanced Model, reflecting that this OpenClaw-oriented tuning is the headline positioning for the variant.

For practical use, the model speaks text in and text out and offers a large working window suited to extended agent sessions, with documented support for multiple thinking modes, real-time streaming output, and function calling for integrating with a variety of external toolsets. Together, these traits make GLM-5 Turbo a good fit when the job is to keep an autonomous assistant coherent and on-task across long chains of tool invocations and persistent workflows, rather than short, single-turn conversational exchanges.