Z-AI models on Tokenator

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.

This model is available on a free plan with limited usage. GLM-5.3-Flash is a native multimodal model from Z.ai that demonstrates high performance in programming, agent-based tasks, and working with long-term contexts.

GLM 5.3 is the latest large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is built for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window.

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.