Verified70% confidenceFactTime unknown
Output tokens are more expensive because the generation process requires autoregressive inference token by token, with each token generation requiring a full forward computation.
4
Sources
70%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
Unverified大模型每个数字都是逐 token 生成的，而非逐位计算，导致其算术能力在小数、除法、多步混合运算上不稳定70% similarUnverifiedUnder multi-model architectures, the billing model is harder to predict: when billing by token, the same input sentence may produce several times the price difference depending on the routing result; if unified account settlement is used, costs are smoothed out, but the product side must bear the losses caused by routing mistakes itself.70% similarUnverifiedMany iterative mechanisms consume an enormous number of tokens, and if the program falls into an infinite loop due to configuration or system design errors, it will cause massive token waste; therefore, real-time monitoring and threshold settings are needed to control token usage.70% similarUnverifiedThe computational cost of the compilation process typically consumes several times the LLM call tokens, but it is a one-time investment, and the cost of incremental updates is far lower than full reconstruction.68% similar
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