GLM Image

Built for reasoning, coding, and long-context agent tasks, improving over GLM-5.1 in context length, tool use, and complex multi-step workflows. Compared with Chinese flagship peers such as Qwen, DeepSeek, and Kimi, it fits enterprise automation, project-level code analysis, and knowledge work in Chinese.

A flagship workhorse for complex software engineering and long-horizon agent tasks. It uses the same base model as GLM-5.2, with improvements driven by post-training, delivering a 50% gain on Z.ai Code Bench alongside stronger terminal-operation and vulnerability-discovery capabilities. It offers a 1M-token context window, up to 128K output, always-on reasoning with low, high, and max effort levels, function calling, and structured outputs. It currently accepts text only and is not intended for tasks requiring visual understanding.

This is a discounted trial route. Generation may take longer and has roughly a 10% chance of failing. It is best for cost-sensitive image generation trials where queueing and occasional failures are acceptable; for more stable production use, choose a regular route.

This is a discounted trial route. Generation may take longer and has roughly a 10% chance of failing. It is best for cost-sensitive image generation trials where queueing and occasional failures are acceptable; for more stable production use, choose a regular route.