Input-Output Token Ratios: The Hidden Cost Driver in AI Models

AI models consume significantly more input tokens than output tokens—averaging 300x and reaching up to 4000x—making input optimization the critical engineering challenge for cost management and latency reduction. Context engineering and caching become mission-critical architectural requirements for building scalable AI products.