Unverified50% confidenceFactExact time
Traditional conversational AI typically has a context window of a few thousand to tens of thousands of tokens
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Getting Started with Claude Code: Core Advantages, Tool Comparisons, and Installation Guide
bilibili我真不会大模型6/14/2026
Related Claims
Unverified在一个对话窗口里，提问轮次越多，后面每一轮消耗的Token就越大，因为历史对话会被拼接重新发送69% similarUnverified在多轮Agent对话中，由于需要携带工具调用结果、历史上下文和系统提示，Token消耗往往是普通对话的5-10倍。68% similarUnverified大语言模型的上下文窗口有限，单次推理能处理的文本长度通常为数万至数十万Token68% similarUnverifiedMost AI character chat applications rely on Large Language Models (LLMs) at their core68% similarUnverified15万token大约相当于10-12万英文单词的输入输出总量，换算成代码约为3000-5000行加上大量上下文对话和终端交互记录66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/45793API
curl https://kongchang.com/api/v1/knowledge/claims/45793MCP
get_claim(id=45793)