Zhipu AI: every model, side by side

Z.ai GLM 5.3 FlashX accepts text, image, and video inputs and produces text, with a 1M context window on OpenRouter.

conversation · reasoning · tool-use

Z.ai multimodal model for efficient coding and long-horizon agent tasks, using hybrid sparse and linear attention. Accepts text, image, and video inputs with a 1,310,720-token context window on OpenRouter.

conversation · reasoning · code-generation · tool-use

Z.ai reasoning model for complex software engineering and long-horizon agent tasks. Supports text input and output with a 1,310,720-token context window on OpenRouter.

conversation · reasoning · code-generation · tool-use

Z.ai's GLM-5.2, built for long-horizon work. A genuinely usable 1M-token context window lets it hold project-level engineering context, run long tasks, follow engineering standards, and carry a project from requirements to multi-platform deployment in one task.

conversation · reasoning · code-generation · analysis · agentic-tool-use · tool-use · planning

Z.ai's largest open-source model, built for systems design and agent runs that last. It plans, executes and self-corrects across large programming tasks rather than emitting a function and stopping, and Z.ai positions it against leading closed models on production code.

conversation · reasoning · code-generation · analysis · agentic-tool-use · tool-use

A 30B-class GLM tuned for agentic coding: coding strength, long-horizon task planning and tool collaboration. Z.ai reports top results among open-weight models of the same size on several public benchmarks.

conversation · reasoning · code-generation · analysis

GLM 4.6 expands the GLM family with a 200K-token context window, stronger coding benchmarks, and more reliable multi-step reasoning. It integrates deeply with agent frameworks to orchestrate tool use and produces more natural writing for long-form chat.

conversation · reasoning · code-generation · analysis · tool-use

Z.ai's GLM-4.5, a mixture-of-experts model built for agent applications with 128K context. It runs in two modes: thinking, for multi-step reasoning and tool use, and non-thinking, for instant answers.

conversation · reasoning · code-generation · analysis

The compact GLM-4.5, same mixture-of-experts design at a smaller parameter count. Keeps the two-mode split, thinking for reasoning and tool use, non-thinking for real-time chat, toggled by a boolean on the request.

conversation · reasoning · analysis

A cost-effective 32B foundation model with much stronger tool use, web search and code work than GLM 3. From the lab behind the THUDM models.

conversation · reasoning · code-generation · analysis · tool-use