Stepfamilies are an increasingly common family form, marked by distinct challenges, opportunities, and complex networks of dyadic relationships that can transcend single households. There exists a dearth of typological analyses by which constellations of dyadic processes in stepfamilies are analyzed holistically. Factor mixture modeling, a form of latent variable mixture modeling, is employed to identify population heterogeneity with respect to features of mother-child, stepfather-child, nonresident father-child, and stepcouple relationships using a representative sample of 1,182 adolescents in mother-stepfather families with living nonresident fathers from Wave I of the National Longitudinal Study of Adolescent to Adult Health. Results favor a four-class factor-mixture solution with class-specific factor covariance matrices. Class 1 (n = 302, 25.5%), the residence-centered pattern, was marked by high-quality residential relationships. Class 2 (n = 307, 26%), the inclusive pattern, was marked by high-quality relationships across all four dyads, with an especially involved nonresident father-child relationship. Class 3 (n = 350, 29.6%), the unhappy couple pattern, was marked by very low stepcouple relationship quality. Class 4 (n = 223, 18.9%), the parent-child disconnection pattern, was marked by distant relationships between youth and all three parental figures. The residence-centered and inclusive patterns encompassed some positive correlations between dyadic relationships, whereas the unhappy couple and parent-child disconnection patterns encompassed some negative correlations between dyadic relationships. The patterns present with differences across socio-demographic and substantive covariates, and highlight important opportunities for the development of new and innovative interventions, particularly to meet the needs of stepfamilies that reflect the parent-child disconnection pattern.