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neta:studio_ai:news_show:013

A production AI-agent developer reported that migrating its workload to GPT-5.6 reduced wall-clock execution time by roughly 2.2 times and lowered cost by about 27 percent while maintaining or improving its evaluation results on completed work. The migration also exposed how factors such as caching behavior and agent architecture affect the practical value of a model.