Abstract: Current scientific evaluation systems for BIM application effects remain incomplete, particularly lacking quantitative tools that align with industry standards and demonstrate dynamic adaptability. Therefore, this study introduces matter-element extension theory and constructs a quantifiable, multi-level evaluation model for the application level of BIM lifecycle cost management. The model determines index weights using the order relation analysis method (G1 method) and achieves accurate evaluation by calculating correlation degrees. To enhance robustness, sensitivity analysis is introduced to examine the influence of weight fluctuations on the evaluation results. Taking the Phase Ⅲ reconstruction and expansion project of Tianjin Binhai International Airport as a case, this study evaluates the application level, compares changes in key cost performance indicators before and after BIM application, and quantifies the application benefits. The results verify the effectiveness and applicability of the evaluation system in identifying application performance and diagnosing weak links, and lay a foundation for dynamic evaluation integrating artificial intelligence and digital twin technologies.