The evolution of enterprise networking has been shaped by the need to balance performance, cost, and reliability in increasingly complex digital environments. Multiprotocol Label Switching (MPLS) has long served as a cornerstone of high-performance, carrier-grade infrastructures, offering deterministic routing, quality of service (QoS), and strong reliability guarantees through service-level agreements (SLAs). However, with the rise of cloud adoption, distributed enterprises, and remote workforces, next-generation routing solutions—such as Software-Defined Wide Area Networking (SD-WAN), Segment Routing, and intent-based networking—have emerged as cost-effective, flexible alternatives. These technologies leverage internet broadband, cloud-native architectures, and adaptive routing algorithms to deliver scalable and agile connectivity. This develops a conceptual model for comparing MPLS and next-generation routing across three core dimensions: perf, cost, and reliability. MPLS excels in predictable latency, low jitter, and guaranteed packet delivery, but its benefits are coupled with high operational and capital costs. Conversely, next-generation routing platforms provide dynamic optimization, bandwidth efficiency, and lower costs, yet their reliance on public or shared infrastructure introduces variable reliability and new security challenges. The proposed model highlights tradeoff zones where organizations must prioritize based on operational context—for example, financial institutions may prioritize MPLS for mission-critical applications, while distributed enterprises may adopt SD-WAN for agility and cost savings. Beyond technical performance, the analysis also considers governance, compliance, and security implications, recognizing that routing decisions intersect with broader enterprise risk management. Future directions point to the role of artificial intelligence, machine learning, and digital twin simulations in predicting network behavior and optimizing tradeoffs in real time. By framing the comparison within a structured conceptual model, this study provides enterprises with a decision-making framework to align networking strategies with evolving demands for performance, cost efficiency, and resilience in the digital era.