Verified65% confidenceDecision RuleExact time
Evaluating the per-task cost of large models requires considering both the token unit price and the number of tokens consumed to complete the task; the output token consumption of chain-of-thought reasoning models may increase by several times or even dozens of times.
3
Sources
65%
Confidence
Long-term
Relevance
9/4/2026
First Seen
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Related Claims
UnverifiedReasoning models may consume several times or even more than ten times the output tokens, directly driving up API call costs.80% similarUnverifiedA model's maximum input length, API billing, and inference cost are usually all calculated by the number of tokens.78% similarUnverified旗舰模型的单次推理成本可能是轻量模型的数十乃至上百倍，源于参数量、上下文窗口长度、推理步骤复杂度等因素77% similarUnverifiedWhen comparing models, if the effort tier is not fixed, neither benchmark scores nor costs are comparable.76% similarUnverifiedIn model selection, pursuing the last few percentage points of performance often requires paying several times or even dozens of times more in cost.76% similar
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