glm-5.2-fast

GLM-5.2-fast is positioned as a long-context workhorse in Zhipu AI's GLM family, purpose-built to plan, execute, and iterate over extended, engineering-grade tasks. It brings the cataloged API limit context window paired with multi-effort coding capabilities that target long-horizon development scenarios where many files, references, and prior decisions must remain in view at once. The model's design leans into agent-style behavior rather than single-prompt answering, making it a natural fit for autonomous coding loops, repository-scale refactors, and complex debugging chains that unfold over many turns.

At 743B parameters, GLM-5.2-fast pairs raw scale with two efficiency-oriented architectural moves: a new IndexShare structure and an improved multi-token prediction layer. Together they reduce per-token FLOPs and lengthen the speculative decoding window, so the model can sustain long outputs without paying a full forward pass for every token. The combination of reasoning and tool calling further reinforces its agent profile, allowing it to call external systems while maintaining coherent planning over very large contexts, which is well suited to teams running sustained, multi-step engineering workloads on cost-efficient infrastructure.