GLM-5 deeply optimized for OpenClaw workflows
Improves tool-call stability, multi-step instruction following, and long-chain continuity on top of GLM-5.
Overview
GLM-5-Turbo was released on March 15, 2026 as a GLM-5-based model deeply optimized for OpenClaw workflows. GLM-5 demonstrates the flagship intelligence ceiling; GLM-5-Turbo is about making that intelligence reliable in long tool chains, complex instruction execution, and sustained task runs inside AutoClaw and BigModel API agent workflows.
On ZClawBench, a benchmark designed around OpenClaw scenarios, GLM-5-Turbo leads mainstream models across information search, office and daily tasks, data analysis and summarization, development and operations, and installation/configuration. Zhipu also reports that 90% of surveyed blind-test users preferred it over other domestic models.
Key capabilities
| Dimension | Detail |
|---|---|
| Context window | 200,000 tokens (about 200K) |
| Max output | 128,000 tokens |
| Input modalities | Text |
| Output modalities | Text |
| Tools | streaming, JSON output, tool calls, Thinking / Non-Thinking |
GLM-5-Turbo specifically improves tool-call stability, multi-step instruction following, and long-chain continuity on top of GLM-5. See live pricing in the model catalog.
Benchmarks
ZClawBench covers five categories common in real agent work:
The radar chart shows GLM-5-Turbo ahead of GLM-5, Claude Opus 4.6, Gemini 3.1 Pro, MiniMax M2.5, and Kimi K2.5 across all five dimensions. This is not a one-domain specialization; it is a system-level improvement for OpenClaw workflow completion.
Tool calls and instruction following
Compared with GLM-5, Turbo improves three practical failure modes: tool-call formatting stability, correct decomposition of multi-step instructions, and context continuity deep inside long task chains. The value shows up in AutoClaw task completion and user preference, because the core product question is whether the task actually finishes.
When to use it
- AutoClaw / OpenClaw agents: search, office tasks, analysis, development, operations, and setup.
- Scheduled and sustained tasks: lower risk of interruption from unstable tool calls.
- Multi-step orchestration: business goals that require dozens of ordered tool calls.
- Domestic ecosystem integration: deployments aligned with local hardware and platform constraints.
CrossModel exposes GLM-5-Turbo through an OpenAI-compatible /v1/chat/completions API. Current pricing is available in the model catalog.