Verified80% confidenceFactTime unknown
In large language models, output tokens are typically 2–3 times more expensive than input tokens.
13
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80%
Confidence
Long-term
Relevance
5/31/2026
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Unverified一个Token大致对应3/4个英文单词或更少的中文字符，商业模型按输入与输出Token分别计费73% similarVerifiedIn large language models, the cost of generating code (output tokens) is far higher than the cost of analyzing problems (chain-of-thought reasoning).72% similarUnverifiedThe way tokens are split is determined by the tokenizer used by the model, and the splitting efficiency varies significantly across different languages.72% similarUnverifiedOutput token prices in API pricing are generally higher than input token prices, because generating text consumes more computing power than processing input.66% similarUnverified大语言模型的用量计费通常基于token（词元）消耗，而非简单的对话次数65% similar
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