These are the Z.ai models currently listed as live in the Borg directory. The descriptions below summarize each model's published use cases; the linked model pages give the full account. A lane id is the value you use to select a model directly in the Borg gateway, not a separate model name. Check the linked pages for context windows, reasoning support and any vendor API list prices before choosing a lane for your work.
GLM-4.5 is the larger member of Z.ai's original agent-focused GLM-4.5 pair, with a mixture-of-experts design and more active capacity than GLM-4.5-Air.
Best for GLM-4.5:
tool-assisted software engineering
front-end feature implementation
reasoning with switchable thinking
multi-step web research agents
Borg lane ids: glm-4.5, z-ai/glm-4.5. Open the model page for its full description, available specifications, vendor price sources, and routing roles.
GLM-4.5-Air is the leaner member of the first GLM-4.5 agent-oriented pair.
Best for GLM-4.5-Air:
cost-conscious coding-agent steps
high-volume tool-call workflows
long-document text extraction
fast non-thinking draft responses
Borg lane ids: glm-4.5-air, z-ai/glm-4.5-air. Open the model page for its full description, available specifications, vendor price sources, and routing roles.
GLM-5-Turbo is a public Z.ai variant optimized around OpenClaw-style agent workflows, rather than a generic promise of faster responses.
Best for GLM-5-Turbo:
OpenClaw agent automation
scheduled tool-driven workflows
multi-step command execution
MCP-backed agent orchestration
Borg lane ids: glm-5-turbo, z-ai/glm-5-turbo. Open the model page for its full description, available specifications, vendor price sources, and routing roles.
GLM-5.2 is the long-context successor to GLM-5.1, retaining a focus on sustained engineering but substantially expanding how much project material one request can hold.
Best for GLM-5.2:
whole-repository architecture audits
cross-file refactoring
long-context engineering agents
requirements-to-deployment planning
Borg lane ids: glm-5.2, z-ai/glm-5.2. Open the model page for its full description, available specifications, vendor price sources, and routing roles.
GLM-5.3 builds on the same base model as GLM-5.2, with improvements from post-training rather than a new base architecture.
Best for GLM-5.3:
complex coding-agent tasks
terminal-based repository work
security code review with verification
deep reasoning on long engineering tasks
Borg lane ids: glm-5.3, z-ai/glm-5.3. Open the model page for its full description, available specifications, vendor price sources, and routing roles.
How Fusion uses Z.ai
Borg Fusion can route between models in the subscription catalog according to the task and the selected profile. Having a Z.ai lane in the catalog does not mean that every Fusion profile will choose it for every request. No specific routing assignments for Z.ai are published in this catalog. The model pages distinguish published routing roles from use cases, so you can compare options without assuming a benchmark result or a routing guarantee. You can also choose a listed lane directly if you want to control which model handles a request.
FAQ
Which Z.ai models are in Borg?
The table and model details above list the current live Z.ai models in Borg. Each linked page includes the model's lane ids and available specifications. Models awaiting identity review are not shown as live.
How does Fusion use Z.ai?
Fusion profiles select from available lanes depending on the task. Consult each Z.ai model page for its published Fusion roles; a missing role is not evidence that the model cannot be selected directly.
Can I select a Z.ai lane directly?
Yes. Open a Z.ai model page to find its Borg lane ids and the compatible gateway model field. Use the lane id rather than the public page slug when choosing a model directly.