Модели Z.ai

Multimodal Z.ai model for efficient coding, image analysis and extended agent tasks, with a one-million-token context.

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.

Accelerated GLM 5.3 variant for coding and agents, with text input, a one-million-token context and faster output generation.

Accelerated multimodal GLM 5.3 Flash variant for coding, image analysis and agents, with a one-million-token context.

Z.ai reasoning model for complex coding and extended agent workflows. Supports text input and a one-million-token context.

Multimodal Z.ai model for visual coding and agent tasks, combining image understanding with text generation and tool use.

GLM-5.1 represents a major advance in coding ability, with especially notable improvements in tackling long-horizon tasks. Unlike earlier models designed for interactions lasting only minutes, GLM-5.1 can operate independently and continuously on a single task for over 8 hours, autonomously planning, executing, and refining its work throughout the process, ultimately producing complete, engineering-grade results.

GLM-5 Turbo is a new model by Z.ai built for fast inference and strong performance in agent-based environments like OpenClaw scenarios. It is heavily optimized for real-world agent workflows with long execution chains, offering better decomposition of complex instructions, improved tool use, scheduled and persistent execution, and greater stability throughout extended tasks.

GLM-5 is the flagship open-source foundation model from Z.ai, specifically designed for advanced systems engineering and handling long-term agent workflows. Tailored for skilled developers, it provides production-level performance on extensive programming tasks, matching up to the top proprietary models. Thanks to its sophisticated agent planning, robust backend reasoning, and iterative self-improvement, GLM-5 goes beyond simple code generation to enable comprehensive system creation and autonomous operation.

As a SOTA 30B-class model, GLM-4.7-Flash provides a new option that balances efficiency and performance. It has been further optimized for agentic coding scenarios, enhancing coding abilities, long-term task planning, and tool integration, and has demonstrated leading results among open-source models of its size on multiple current public benchmark leaderboards.

GLM-4.7 is Z.AI’s newest flagship model, offering advancements in two main aspects: improved programming abilities and greater stability in multi-step reasoning and execution. It shows notable progress in handling complex agent tasks, while also providing more natural conversational experiences and enhanced front-end design.

GLM-4.6 is the latest version in the GLM series, featuring a longer 200K token context window (up from 128K in GLM-4.5) for handling more complex tasks. It offers improved coding performance with higher benchmark scores and better real-world results, including visually enhanced front-end code generation. The model also delivers stronger reasoning, more effective tool use during inference, better integration within agent frameworks, and more refined, human-like writing style compared to GLM-4.5.

GLM-4.5 is the latest flagship foundation model from Z.AI, specifically designed for agent-based applications. It utilizes a Mixture-of-Experts (MoE) architecture and supports context lengths of up to 128k tokens. GLM-4.5 offers significantly improved capabilities in reasoning, code generation, and agent alignment. It features a hybrid inference mode with two options: a "thinking mode," tailored for complex reasoning and tool usage, and a "non-thinking mode," optimized for instant responses.