The objective of this paper is to study the relationship between academic performance, gender, and science and technology grants. The empirical analysis is based on the Argentinean Fund for Scientific and Technological Research ‘Scientific and Technological Research Projects’ (FONCYT-PICT). The methodology is based on a multivariate decomposition for non-linear response models, an extension of the Oaxaca–Blinder decomposition. Results confirm the presence of a gender gap. Women have lower probabilities of being awarded with funds than men, even when academic trajectories are alike. Results show that even if the productivity gap is closed, men’s and women’s trajectories are differently valued against women, and this negatively impacts their probability of being awarded. Therefore, even if women manage to publish more and—somehow—be more cited, the gap will persist. Explicit public policy measures are required to close the current gap and stop reproducing it.