Computational grid is an upcoming environment based on open standards and visualization of individual resources created with a goal of supporting collaboration and resource sharing. As the technology advances and user base grows; grid computing will advance beyond research institutions and find its place in the commercial sector, in need of supporting the service-oriented goals imposed by such community. With the advent or various services, quality of service (QoS) levels will need to be shaped to provide quantitative and qualitative measure of service satisfaction for various user categories. A major concern among these users will be the associated cost for individual services and their ability to compare these costs and services between different providers. This paper raises some initial issues in the given area, analyzes only the few currently available approaches and provides the foundation for future work in terms service comparison and cost analysis.