Better Routing, Not Bigger Models, Drives Next Wave of AI Cost Cuts

Process reward models and intelligent routing through intermediate reasoning steps are proving more cost-effective than scaling to larger language models, with recent research showing up to 6x efficiency gains while maintaining competitive accuracy. The shift represents a fundamental rethinking of how to optimize AI inference costs in production systems.