Verified90% confidenceFactExact time
Output token pricing is typically higher than input token pricing because the generation process requires autoregressive decoding token by token.
9
Sources
90%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
Has AI Coding Assistant Fable Been Nerfed? Developer's Routing Anomaly Report Sparks Debate
twitterNickADobos7/2/2026
Related Claims
Unverified大语言模型的输出token通常比输入token贵2-3倍，因为生成过程是自回归的，每次只生成一个token并重新运行前向传播79% similarUnverifiedEach model invocation consumes both input tokens (prompts and context) and output tokens (the model's generated response), with the two typically priced separately.74% similarUnverifiedVariational response generators introduce the idea of variational autoencoders by inserting a latent variable between the encoder and decoder; the latent variable follows a probability distribution and is sampled during generation to introduce diversity.72% similarUnverifiedDecoding adjustments do not touch model weights or internal representations, but instead modify the token selection strategy during the generation stage; contrastive decoding runs a strong model and a weak model simultaneously and takes the difference in their log probabilities as the score for the next token; DoLa compares the output distributions of different layers within a single model.72% similarUnverified输出生成是严格串行的自回归过程，每生成一个token都需要一次完整的模型前向传播71% similar
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