Research on Pricing Models for Cloud Computing Services focuses on developing fair, efficient, and adaptive pricing strategies that balance the interests of cloud providers and consumers. This area explores innovative models that account for factors such as resource usage, service quality, energy consumption, and user demand variability. Key research directions include dynamic and demand-based pricing algorithms, auction-based and game-theoretic pricing mechanisms, and AI-driven cost optimization frameworks. Other emerging topics include spot pricing for idle resources, multi-tier and pay-as-you-go models, energy-aware and carbon-efficient pricing, and blockchain-enabled transparent billing systems. Additionally, integrating predictive analytics for usage forecasting, optimizing pricing in multi-cloud and edge-cloud ecosystems, and designing user-centric pricing models that enhance cost predictability and fairness are important avenues of exploration.