Key Features

Frontier coding and software-engineering model.
Long-horizon agent task execution.
Scaled post-training with executable environments.
Asynchronous reinforcement-learning infrastructure.
Synthesized verifiers and binary reward signals.
Cyber vulnerability discovery capability.
Low, high, and max thinking effort levels.
Available through Z.ai coding products and APIs.

The release keeps the GLM-5.2 base model and attributes its gains to scaled post-training. Z.ai expanded executable environments, synthesized verifiers, used asynchronous reinforcement learning, and retained SAO compaction for long tasks.


GLM-5.3 is available through Z.ai products and coding plans, with weights announced for a later public release after safety hardening. It supports enabled thinking with low, high, and max reasoning effort, making it useful for coding agents that need adjustable depth and persistent execution.

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