GRIN-MoE is a Mixture of Experts (MoE) model developed by Microsoft, focusing on enhancing performance in resource-limited environments. By employing SparseMixer-v2 to estimate the gradient for expert routing, GRIN-MoE achieves model training scalability without relying on expert parallel processing or token dropping, unlike traditional MoE training methods. It excels particularly in coding and mathematical tasks, making it suitable for scenarios that demand strong reasoning capabilities.