Verified65% confidenceFactExact time
The generation phase is essentially a serial process that cannot be fully parallelized the way input encoding can, resulting in relatively low GPU utilization—this is the technical reason why output costs are inherently higher than input costs.
3
Sources
65%
Confidence
Long-term
Relevance
8/10/2026
First Seen
Sources
Related Claims
UnverifiedThe gains from speculative decoding are diluted in large-batch scenarios, as GPU compute capacity tends to be saturated in such cases.77% similarUnverifiedPursuing extremely low latency means decreased GPU utilization and rising per-inference costs.72% similarUnverifiedThe price difference between input and output reflects the engineering reality that generating tokens requires more computation than processing tokens.71% similarUnverifiedIn scenarios of pure GPU inference, especially low concurrency, the impact of the CPU on performance is quite limited70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/723657API
curl https://kongchang.com/api/v1/knowledge/claims/723657MCP
get_claim(id=723657)