Verified65% confidenceFactTime unknown
In large language models, the cost of generating code (output tokens) is far higher than the cost of analyzing problems (chain-of-thought reasoning).
3
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65%
Confidence
Long-term
Relevance
5/31/2026
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Related Claims
UnverifiedThe per-task cost of Codex is far higher than that of an ordinary ChatGPT conversation, because it requires maintaining a full runtime environment and performing large language model inference computation.80% similarVerifiedIn large language models, output tokens are typically 2–3 times more expensive than input tokens.72% 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71% similarUnverified编程对话通常涉及大量代码上下文的输入输出，Token消耗量远高于普通文本对话70% similarUnverifiedWith the help of large language models, mass-producing vast quantities of seemingly professional content is an operation with nearly zero marginal cost.69% similar
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