Unverified50% confidenceFactExact time
编程对话通常涉及大量代码上下文的输入输出，Token消耗量远高于普通文本对话
1
Sources
50%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
Related Entities
Related Claims
Unverified大语言模型的用量计费通常基于token（词元）消耗，而非简单的对话次数72% similarUnverifiedIn multi-turn agent conversations, token consumption is often 5–10 times that of ordinary conversations due to the need to carry tool call results, historical context, and system prompts.72% similarUnverifiedAs the number of conversation turns increases, the messages list grows longer and may eventually exceed the model's context window limit.70% similarUnverified大语言模型每次对话独立，无法对整个代码库形成持久认知模型，导致不同会话生成的代码在架构风格、命名规范、错误处理策略上存在系统性不一致70% similarUnverifiedIn large language models, the cost of generating code (output tokens) is far higher than the cost of analyzing problems (chain-of-thought reasoning).70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/795513API
curl https://kongchang.com/api/v1/knowledge/claims/795513MCP
get_claim(id=795513)