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GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.
GLM 5.3
GLM-5.3 is Z.ai’s latest flagship model, delivering comprehensive advancements in complex software engineering and agent capabilities. It uses the same base model as GLM-5.2, with all improvements driven by post-training.
GLM 5.2
GLM-5.2 is Z.AI's latest flagship model, meticulously engineered for long-horizon autonomous tasks. Capable of working continuously on a single assignment for up to 8 hours, it autonomously manages the entire workflow—from initial planning and execution to iterative optimization and the delivery of production-grade results. With coding and agentic capabilities that rival leading proprietary frontier models, it excels particularly in sustained execution, complex engineering optimization, and real-world development scenarios. Its context window has been expanded from 200K to 1M tokens, making it an ideal foundational model for powering advanced autonomous agents and long-horizon coding assistants.
GLM-5.1
GLM-5.1 is Z.AI's latest flagship model, meticulously engineered for long-horizon autonomous tasks. Capable of working continuously on a single assignment for up to 8 hours, it autonomously manages the entire workflow—from initial planning and execution to iterative optimization and the delivery of production-grade results. While its general capabilities and coding proficiency are on par with Claude Opus 4.6, GLM-5.1 excels particularly in sustained execution, complex engineering optimization, and real-world development scenarios. This makes it the ideal foundational model for powering advanced autonomous agents and long-horizon coding assistants.
GLM-5V-Turbo
GLM-5V-Turbo is Z.AI’s first multimodal coding foundation model, built for vision-based coding tasks. It can natively process multimodal inputs such as images, video, and text, while also excelling at long-horizon planning, complex coding, and action execution. Deeply optimized for agent workflows, it works seamlessly with agents such as Claude Code and OpenClaw to complete the full loop of “understand the environment → plan actions → execute tasks”.
GLM 4.5V
Z.ai's GLM-4.5V sets a new standard in visual reasoning, achieving state-of-the-art performance across 42 benchmarks among open-source models. Beyond benchmarks, it excels in real-world applications through hybrid training, enabling comprehensive visual understanding—from image and video analysis and GUI interaction to complex document processing and precise visual grounding. In China's GeoGuessr challenge, GLM-4.5V outperformed 99% of 21,000 human players within 16 hours, reaching 66th place within a week. Built on the GLM-4.5-Air foundation and adopting the approach of GLM-4.1V-Thinking, it utilizes a 106-billion-parameter MoE architecture for scalable, efficient performance. This model bridges advanced AI research with practical deployment, delivering unmatched visual intelligence
GLM-4.5
The GLM-4.5 Series models are foundation models specifically engineered for intelligent agents. The flagship GLM-4.5 integrates a total of 355 billion parameters (32 billion active), unifying reasoning, coding, and agent capabilities to address complex application demands. As a hybrid reasoning system, it offers two operational modes: - Thinking Mode: Enables complex reasoning, tool invocation, and strategic planning - Non-Thinking Mode: Delivers low-latency responses for real-time interactions This architecture bridges high-performance AI with adaptive functionality for dynamic agent environments.
GLM-4.7
GLM-4.7 is Z.AI's latest flagship model, featuring major upgrades focused on advanced coding capabilities and more reliable multi-step reasoning and execution. It demonstrates significant improvements in complex agent workflows, while delivering a more natural conversational experience and stronger front-end design sensibility.
GLM-4.7-Flash
GLM-4.7-Flash, a state-of-the-art model in the 30B class, offers an impressive balance of high performance and efficiency. Designed specifically for Agentic Coding, it enhances coding proficiency, long-horizon planning, and tool synergy, achieving top-tier results on public benchmarks among open-source models of comparable size. It excels at complex agent tasks with superior instruction following for tool usage, while significantly improving the frontend aesthetics and completion efficiency of long-range workflows in Artifacts and Agentic Coding.
GLM-5
GLM-5 is an open-source foundation model engineered for complex system engineering and long-horizon agent tasks, delivering reliable productivity for top-tier programmers. Transcending the boundary between "writing code" and "building systems," it goes beyond traditional snippet generation to offer senior-architect-level planning and execution capabilities. By rejecting the "frontend-heavy, logic-light" approach, GLM-5 demonstrates exceptional reasoning and self-healing capabilities in backend refactoring, complex algorithm implementation, and deep debugging—autonomously analyzing logs and iteratively fixing persistent bugs until the system runs. As the first open-source model featuring Opus-class style and system engineering depth, GLM-5 provides extreme logic density alongside the freedom of local deployment and high cost-effectiveness, making it the ideal choice for large-scale backend development and automated Agent construction.
GLM-5-Turbo
GLM-5 is an open-source foundation model engineered for complex system engineering and long-horizon agent tasks, delivering reliable productivity for top-tier programmers. Transcending the boundary between "writing code" and "building systems," it goes beyond traditional snippet generation to offer senior-architect-level planning and execution capabilities. By rejecting the "frontend-heavy, logic-light" approach, GLM-5 demonstrates exceptional reasoning and self-healing capabilities in backend refactoring, complex algorithm implementation, and deep debugging—autonomously analyzing logs and iteratively fixing persistent bugs until the system runs. As the first open-source model featuring Opus-class style and system engineering depth, GLM-5 provides extreme logic density alongside the freedom of local deployment and high cost-effectiveness, making it the ideal choice for large-scale backend development and automated Agent construction.