Larger models need more hardware resources to run And, depending on effort settings, they do more 'thinking', i.e., use more rounds of inference to generate lo

Larger models need more hardware resources to run And, depending on effort settings, they do more 'thinking', i.e., use more rounds of inference to generate longer internal chains of thought Both very good reasons to prefer a smaller model, if the small model is good enough for the task