DeepSeek R1 Distilled Reasoning models use chain-of-thought reasoning to analyze complex prompts in detail. Instead of producing immediate replies, they spend time generating a “thinking” sequence, which often involves processing hundreds or thousands of tokens internally. This approach helps the model to evaluate various perspectives before generating a final response. Although this increases the wait time, it typically delivers more thorough results, which can be valuable for tasks in scientif...