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Reasoning Models: Trading Latency and Cost for Accuracy on Hard Problems
Reasoning models spend additional computation at answer time, generating intermediate reasoning before responding. They improve accuracy on multi-step problems such as maths, code, analysis and planning, at the cost of more tokens and higher latency. This guide explains the mechanism, the economics, routing and thinking budgets, and product design for slower answers.
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