Thinking Model
A thinking model is an AI system that uses extended inference-time computation to reason through problems before producing a final answer. Unlike standard models that generate responses immediately, thinking models like OpenAI's o1/o3 and DeepSeek-R1 allocate extra "thinking time" to plan, evaluate, and self-correct — trading speed for significantly higher accuracy on complex tasks.
Example
You give a thinking model a multi-step physics problem. Instead of answering instantly, the model spends 15 seconds internally reasoning: "First I need to calculate the force, then apply Newton's second law, then check units..." It produces a correct, well-reasoned answer that a standard model would likely get wrong.
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