AI Token Costs: How to Spend Less and Get Better Results

This is a practical cost-discipline story rather than a market event, and the absence of any named company, product or pricing detail leaves little to anchor a market read. The underlying point still carries weight for anyone running AI workloads: token billing turns model choice into an operating-cost decision, and routing simple tasks to cheaper models is where most of the savings sit. Whether that discipline becomes standard practice, or gets abandoned as users chase output quality, is the open question worth watching.