Unverified50% confidenceFactExact time
Autoregressive inference causes output cost to grow quadratically with sequence length, whereas the input side requires only a single parallel forward pass, which is the fundamental reason output tokens are priced higher than input tokens.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe price difference between input and output reflects the engineering reality that generating tokens requires more computation than processing tokens.76% similarUnverified多轮对话中第N轮的输入成本是前N-1轮内容的总和，累积效应会导致成本抛物线式增长75% similarUnverified推理时计算的扩展虽能提升单次输出质量，但成本以超线性方式增长，大规模部署往往难以经济可行74% similarUnverified模型规模（参数量）与推理成本之间存在超线性关系，参数量翻倍会导致推理延迟与算力开销增长远超两倍72% similarUnverifiedMulti-step reasoning means multiple model calls, and under real traffic, token consumption and response latency grow non-linearly.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1033813API
curl https://kongchang.com/api/v1/knowledge/claims/1033813MCP
get_claim(id=1033813)