Z.ai: GLM 5.2

GLM 5.2 from Z.ai is a text-in, text-out model with a context window of roughly one million tokens and a maximum output of 32,768 tokens per response. It supports tool use and reasoning, which makes it viable for multi-step workflows and agentic tasks. Structured output support is not confirmed for this model, so developers who depend on guaranteed JSON schemas should verify that before committing. At $1.00 per million input tokens and $4.00 per million output tokens, it sits in the mid-range price tier. Its blended benchmark score of 89.7 comes from four benchmarks, a limited coverage sample, so treat it as directional rather than definitive. The coding benchmark result is notably strong, which makes it worth shortlisting for software-focused use cases. Teams that need long-context retrieval or agentic pipelines and can tolerate some benchmark uncertainty will find the pricing reasonable relative to the performance signal available.