GLM5.1Z.ai's open-source flagship LLM with 754B MoE architecture, purpose-built for agentic coding and long-horizon tasks, capable of 8-hour autonomous execution and topping SWE-Bench Pro.
Build long-horizon coding, reasoning, and agent workflows with the GLM models currently available through LinkModel.
Z.ai develops the open-weight GLM model family for reasoning, coding, agents, and general language work. Its official catalog may include models that are not yet listed on LinkModel; this page only presents the Z.ai models currently available through LinkModel's live catalog.
Compare the Z.ai language models currently listed on LinkModel. The live catalog controls availability and pricing; open each model page to confirm its active context limit and request schema before production use.
3 models listed
Compare live Z.ai models for long-context reasoning, software engineering, tool use, structured output, and autonomous agent workflows.
GLM5.1Z.ai's open-source flagship LLM with 754B MoE architecture, purpose-built for agentic coding and long-horizon tasks, capable of 8-hour autonomous execution and topping SWE-Bench Pro.
GLM5.3Z.ai’s latest flagship text model for complex software engineering and long-horizon agents supports up to a 1M-token context, 128K-token output, three reasoning-effort levels, tool calling, structured output, and context caching, with stronger performance and token efficiency across coding, terminal, and multi-step professional tasks.
GLM5.2Z.ai’s flagship text model for long-horizon work supports up to a 1M-token context and 128K-token output, with adjustable reasoning, tool calling, structured output, and context caching for project-scale code understanding, complex refactoring, and persistent agent workflows.
Use GLM-5.1 when a currently listed LinkModel workload needs long-horizon coding, iterative engineering, or tool-driven reasoning. Recommendations only appear when the matching model is live in the catalog.
Z.ai designed GLM-5.1 for sustained engineering tasks that move from planning and execution through testing, correction, and iterative optimization.
long-horizon execution · agentic coding · tool calls · structured output
Official source ↗Use live GLM models for autonomous software engineering, complex information workflows, tool-driven agents, and structured production tasks from one account.
Run multi-step coding workflows that plan changes, inspect results, test implementations, and revise strategies over extended sessions.
Build agents that reason over a goal and invoke supported external tools, while your application owns permissions, retries, and safety controls.
Use long-context reasoning for research, document synthesis, structured reports, and multi-turn tasks after confirming the active model limits.
Access supported GLM models alongside other language providers while centralizing credentials, usage, and pay-as-you-go billing.
Use one LinkModel API key for supported Z.ai models and future versions as they enter the live catalog.
Evaluate GLM alongside Kimi, DeepSeek, Claude, GPT, Gemini, and other live language families without maintaining another provider billing flow.
Track requests and pay-as-you-go charges from one account while keeping the selected model explicit in each integration.
Use one LinkModel credential to call an available GLM model and keep model access, usage, and billing in the same workflow.
Create a LinkModel API key and use it to authenticate requests for Z.ai models enabled for your account.
Select the model for your workload, then open its LinkModel page to confirm the current identifier, price, context limit, and request schema.
Submit the supported message payload, handle streaming or structured output only when documented by the live schema, and monitor usage from the same account.

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FAQ
Model capabilities and selection guidance are reviewed against the official Z.ai sources listed here.
Editorial content reviewed: September 1, 2026
Z.ai and its model names belong to their respective owners. LinkModel is an independent API aggregation platform and does not imply a formal relationship.