Unverified50% confidenceFactExact time
Large models are billed by the number of input plus output Tokens for each inference.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedEach model invocation calculates both input tokens and output tokens simultaneously, and both together determine the cost of a single call.79% similarVerifiedTop-tier models employ techniques such as chain-of-thought or extended reasoning, generating a large number of intermediate tokens during inference, causing per-call token consumption to be several times that of ordinary models.78% similarUnverifiedIn dense models, all parameters participate in computation for every token, and the amount of computation is strictly tied to the parameter scale.78% similarUnverified大模型推理的自回归生成需要逐Token串行输出，生成N个Token需要N次前向传播78% similarUnverifiedToken generation volume is generally regarded as one of the core metrics for measuring the actual usage load of large models.77% similar
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