GLM 5.2: Reasoning Effort Is the Cost Lever

Short summary

GLM 5.2, Zhipu's new frontier-class reasoning model, costs roughly 1/6 the price of GPT-5.5 and Claude Opus 4.8, but cost varies 20x more based on the reasoning-effort dial than per-token pricing. For easy coding tasks, reasoning disabled is cheapest and correct; for complex problems like wildcard matching, it fails and requires full reasoning—making the dial the real cost lever.

• •GLM 5.2 priced at $1.40/$4.40 per million input/output tokens (~1/6 of frontier models) launched June 2026
• •Reasoning effort parameter swings cost 20x more than base token pricing; off=cheap+wrong on hard problems, unbounded=expensive but correct
• •Concrete tradeoff: interval scheduling works correctly with reasoning off (8x cheaper); wildcard matching fails without reasoning and needs high effort to fix

Generated with AI, which can make mistakes.