Model maker

Z.ai models in Borg

Z.ai develops the GLM family of language models. Borg offers a selection of GLM generations for direct use and routing.

Models carried
9
Confirmed reasoning models
9
Maximum published context
1,048,576 tokens Vendor source

Explore Z.ai models

ModelContextReasoningReleaseBest forBorg speedBench
GLM-4.5131,072 tokens Vendor sourceYes2025-07-28 Vendor sourcetool-assisted software engineering——
GLM-4.5-Air131,072 tokens Vendor sourceYes2025-07-28 Vendor sourcecost-conscious coding-agent steps12.1 output tokens/s (whole turn)—
GLM-4.6200K tokens (vendor-stated) Vendor sourceYes2025-09-30 Vendor sourcelarge-repository code review——
GLM-4.7200K tokens (vendor-stated) Vendor sourceYes2025-12-22 Vendor sourceend-to-end application prototypes40.6 output tokens/s (whole turn)—
GLM-5200K tokens (vendor-stated) Vendor sourceYes2026-02-12 Vendor sourcemulti-stage systems engineering33.3 output tokens/s (whole turn)—
GLM-5-Turbo200K tokens (vendor-stated) Vendor sourceYes—OpenClaw agent automation16.4 output tokens/s (whole turn)60%
GLM-5.1200K tokens (vendor-stated) Vendor sourceYes2026-04-07 Vendor sourcelong-running autonomous coding——
GLM-5.21,048,576 tokens Vendor sourceYes2026-06-16 Vendor sourcewhole-repository architecture audits25.7 output tokens/s (whole turn)47%
GLM-5.31,048,576 tokens Vendor sourceYes2026-08-18 Vendor sourcecomplex coding-agent tasks25.2 output tokens/s (whole turn)53%

Models in detail

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

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

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-4.6

GLM-4.6 follows GLM-4.5 as Z.ai's text-focused coding and agent model.

Best for GLM-4.6:

  • large-repository code review
  • long-context coding agents
  • search-assisted technical writing
  • front-end implementation

Borg lane ids: glm-4.6, z-ai/glm-4.6. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

GLM-4.7

GLM-4.7 is the successor to GLM-4.6 in Z.ai's text-only GLM line.

Best for GLM-4.7:

  • end-to-end application prototypes
  • multi-step coding with tools
  • interactive front-end development
  • reasoning-intensive text tasks

Borg lane ids: glm-4.7, z-ai/glm-4.7. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

GLM-5

GLM-5 begins Z.ai's next foundation-model generation after GLM-4.7, with a focus on agentic engineering rather than just coding completion.

Best for GLM-5:

  • multi-stage systems engineering
  • backend architecture and bug fixing
  • planning and checking agent actions
  • full-stack feature delivery

Borg lane ids: glm-5, z-ai/glm-5. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

GLM-5-Turbo

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-5.1

GLM-5.1 extends the GLM-5 foundation with a specific emphasis on sustained autonomous work.

Best for GLM-5.1:

  • long-running autonomous coding
  • iterative engineering optimization
  • multi-stage debugging
  • front-end artifact generation

Borg lane ids: glm-5.1, z-ai/glm-5.1. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

GLM-5.2

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

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.

Other providers

Compare Z.ai with other makers in the same Borg subscription: Anthropic · OpenAI · Google · xAI · Moonshot AI · Meta · Borg

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