Verified65% confidenceFactExact time
A single LLM inference call can easily take hundreds of milliseconds or even seconds, whereas the execution time of deterministic code is typically at the microsecond level.
3
Sources
65%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
并非一切都值得消耗Token:何时用AI,何时用确定性代码
hackernewshackernews7/6/2026
Related Claims
Unverified对于内容审核这种需要实时检查每次交互的场景,3B模型的单次推理通常可控制在50-100毫秒以内,而百亿级模型可能需要数百毫秒78% similarUnverifiedA standard large language model typically takes several seconds to complete one inference, making it nearly unusable in real-time scenarios that require millisecond-level responses.77% similarUnverifiedUsing lightweight embedding models such as sentence-transformers' MiniLM requires tens of milliseconds per inference, while large embedding models can reach hundreds of milliseconds.77% similarUnverified对于BERT-base模型推理会话初始化通常耗时数百毫秒,重复执行会使延迟增加1-2个数量级76% similarUnverifiedReal-time outfit switching requires per-frame processing time below 33 milliseconds and may employ inference acceleration techniques such as knowledge distillation, model pruning, or TensorRT.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/207673API
curl https://kongchang.com/api/v1/knowledge/claims/207673MCP
get_claim(id=207673)