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AI & Machine Learning · Intermediate

Reasoning Model

An LLM trained to generate intermediate reasoning before answering, improving performance on complex multi-step tasks.

Definition

Reasoning models use reinforcement learning and extra inference-time tokens to plan, check and revise. They excel at math, coding and analysis at the cost of higher latency and token usage. Claude's extended thinking and similar features expose this capability with a configurable budget.

Exam tip

Use reasoning models for complex multi-step problems; use fast models for simple, latency-sensitive tasks.

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