Unverified60% confidenceTradeoffExact time
Reasoning mode performs internal chain-of-thought reasoning before the final answer, and the thinking tokens generated are billed; in complex programming tasks, thinking tokens may account for 60%–70% of total consumption, and costs may be 3–5 times that of normal mode.
2
Sources
60%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Claude国内使用全攻略：4大方案深度对比与选择指南
Related Claims
UnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.80% similarUnverifiedReasoning budget refers to the upper limit on the number of intermediate reasoning tokens a chain-of-thought model is allowed to consume before generating a final answer; the higher the budget, the deeper the self-reflection and multi-step verification the model can perform.77% similarUnverifiedTop-tier models employ techniques such as chain-of-thought or extended reasoning, generating a large number of intermediate tokens during inference, causing per-call token consumption to be several times that of ordinary models.76% similarUnverified推理模型在生成最终答案前会先产生大量内部思维链（Chain-of-Thought）token，这些 token 不直接暴露给用户75% similarUnverifiedFable 5's increased token consumption is attributed to Extended Thinking or Chain of Thought mechanisms, where the model performs internal reasoning and self-verification before generating a final answer73% similar
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