Every AI model is trained differently. Some are really large (Large Language Models), while others are hyper-specialized and can be a smaller size (Small Language Models). But they all have different data sets (with some likely overlap) and they're built to address and process information in a specific way. That's why having the power to swap between models makes a difference. A very conversational model, like Claude, is good for some tasks, but a model that's highly focused, like WhiteRabbitNeo, is going to better at others.