The OpenAI API cost problem is not a budget problem. It is an architecture problem. Teams that receive a $3,000 monthly bill and immediately look for a cheaper model are solving the wrong problem. The same model, running the same workflow, structured differently, delivers 40 to 60 percent lower token consumption without any change in output quality. Model selection, prompt compression, output length control, caching, and Batch API are the five levers.