Verified65% confidenceFactExact time
The computational cost of generating output is typically far higher than that of processing input, and some vendors set separate quotas for input tokens and output tokens.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Unverified自回归生成每个Token都需要完整的前向传播，而输入只需一次编码，这是输出比输入贵的成本结构原因74% similarUnverifiedIn large language model inference, the actual hardware cost of output tokens is far higher than that of input tokens, because the decoding phase is a memory-bandwidth-limited sequential process.74% similarUnverifiedIn coding scenarios, the input side needs to carry a large amount of code context, and the input Token count is often several times that of the output, amplifying costs.71% similarUnverifiedProcessing input can spread out computational costs through mechanisms such as KV Cache, whereas generating each output token requires a full forward inference pass.71% similarUnverifiedPrompt token reading can be processed in batches in parallel, but output generation can only proceed token by token, so the read rate and the write rate are two different numbers.70% similar
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