A new analysis highlights how the cost-efficiency of AI model inference has been improving significantly, with newer models delivering more performance per dollar spent. The post examines benchmarks around GLM and AMD hardware, illustrating competitive shifts in the AI infrastructure landscape. These trends have broad implications for how organizations evaluate and deploy large language models at scale.