  We develop a generic strategy and simple numerical models for multi-component
metallic glasses for which the swap Monte Carlo algorithm can produce highly
stable equilibrium configurations equivalent to experimental systems cooled
more than $10^7$ times slower than in conventional simulations. This paves the
way for a deeper understanding of thermodynamic, dynamic, and mechanical
properties of metallic glasses. As first applications, we considerably extend
configurational entropy measurements down to the experimental glass
temperature, and demonstrate a qualitative change of the mechanical response of
metallic glasses of increasing stability towards brittleness.
