Understanding how the risk of death varies across the 0–5 age range is essential for monitoring child health. Existing model life tables, including the log-quadratic model—denoted here model A—have been based on data from high-income countries and do not reflect the age patterns of mortality found in most part of sub-Saharan Africa and south Asia—two world regions that now account for approximately 80% of global under-5 deaths. In this paper, we present a new model life table approach—model B—designed to summarize the age distribution of under-5 mortality in these settings. Like model A, model B uses a log quadratic specification but is estimated from Demographic and Health Surveys. It includes 22 fine disaggregated age groups, allowing for flexible application across data inputs. We demonstrate that the new model captures key features of under-5 mortality in sub-Saharan Africa and south Asia including excess risks of dying before 28 days and after 12 months of age. Model B provides accurate estimates across a wide range of age patterns, and in combination with Model A, offers a comprehensive modeling framework to best represent child mortality globally.