Verified80% confidenceFactExact time
API calls to large models typically incur latency of hundreds of milliseconds to several seconds, and response times are unstable due to multiple factors such as network conditions and server load.
6
Sources
80%
Confidence
Long-term
Relevance
5/25/2026
First Seen
Sources
Should Custom Software Teams Go All-In on LLMs? ChatGPT Itself Gave the Answer
bilibili哈维德数据库软件定制5/25/2026
Related Entities
Related Claims
UnverifiedThe request-response cycle handled by a traditional API gateway usually completes within 50 to 200 milliseconds, whereas an LLM API often needs to keep the connection open for 30 to 120 seconds.78% similarUnverified自回归token生成的延迟通常在数百毫秒量级，难以满足实时控制需求77% similarUnverifiedMainstream large model API providers typically maintain prompt caches in units of 5 minutes to 1 hour, after which they expire.77% similarUnverified一次AI API调用的延迟包括网络往返时间（50-200ms）、服务端排队、模型推理首Token延迟（TTFT，通常500ms-3s）及逐Token流式输出时间77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/71API
curl https://kongchang.com/api/v1/knowledge/claims/71MCP
get_claim(id=71)