Unverified50% confidenceFactExact time
Reasoning tokens are the internal thinking content the model generates before giving its final answer, usually billed at the output rate, and can account for an extremely high share of total Agent output (77% of the bill in the example).
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Same Price, Different Bill: AI Agent Billing Traps and Cost-Saving Routing Strategies
youtubemAInframe · Explore the AI world10/24/2026
Related Entities
Related Claims
UnverifiedReasoning 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.77% similarVerifiedThe internal chain of thought in reasoning models generates a large number of output tokens, making the actual cost of completing complex tasks often far higher than what a per-token price comparison would suggest.74% similarVerifiedReasoning 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.74% similarUnverifiedThe decision head is an additional output layer outside the model backbone, typically receiving the feature vector extracted by the backbone and outputting a judgment result or score.72% similarUnverified推理模型的中间思维链步骤在计费层面同样计入token消耗，OpenAI的o1模型思考token有时高达正常输出的数倍72% similar
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