--- title: "上下文窗口 - 模型与机制 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/ai-core/models/context-window/" dateModified: "2026-06-29" datePublished: "2026-06-29" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [AI 核心概念子目录](https://siyuanailab.com/knowledge/ai-core/) [基础概念 **9**](https://siyuanailab.com/knowledge/ai-core/foundations/) - [01-01 人工智能](https://siyuanailab.com/knowledge/ai-core/foundations/artificial-intelligence/) - [01-02 生成式 AI](https://siyuanailab.com/knowledge/ai-core/foundations/generative-ai/) - 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[05-01 系统提示词](https://siyuanailab.com/knowledge/ai-core/interaction/system-prompt/) - [05-03 少样本提示](https://siyuanailab.com/knowledge/ai-core/interaction/few-shot-prompting/) - [05-04 角色提示](https://siyuanailab.com/knowledge/ai-core/interaction/role-prompting/) - [05-05 提示词注入](https://siyuanailab.com/knowledge/ai-core/interaction/prompt-injection/) [安全与治理 **4**](https://siyuanailab.com/knowledge/ai-core/safety/) - [06-01 AI 安全](https://siyuanailab.com/knowledge/ai-core/safety/ai-safety/) - [06-03 智能体治理](https://siyuanailab.com/knowledge/ai-core/safety/agent-governance/) - [06-04 模型偏见](https://siyuanailab.com/knowledge/ai-core/safety/model-bias/) - [06-05 数据隐私](https://siyuanailab.com/knowledge/ai-core/safety/data-privacy/) 模型与机制 · 02-02 # 上下文窗口（Context Window） 杨思远 / 思行致远 · 2026/6/29 · 置信度：高 上下文窗口ContextLLM 模型一次对话或调用中能看到的输入与历史内容总容量。 # 上下文窗口（Context Window） > 模型一次对话或调用中能看到的输入与历史内容总容量。 --- ## 一、是什么 - 模型一次对话或调用中能看到的输入与历史内容总容量。 - 类比：像一个人的工作台，桌面能摊开的资料有限。 - 关键澄清： | 它不是什么 | 它是什么 | | --- | --- | | 不是模型永久记忆 | 当前这次推理可用的信息空间 | ## 二、为什么重要 - 它决定模型能同时参考多少资料、历史和指令。 - 不懂它会怎样：上下文塞太满会增加成本，也可能降低重点信息的可见度。 ## 三、日常怎么理解 - 用一句话讲给非技术朋友听：上下文窗口就是 AI 这次能看见多少东西。 - 常见场景：让模型读一本书、处理多文件项目、追踪长对话时都会碰到。 ## 四、常见误解 | 误解 | 真相 | | --- | --- | | 窗口越长效果一定越好 | 长窗口只是容量，关键还要做好信息选择和组织。 | ## 五、延伸阅读 - 本知识库相关：上下文工程、Token - 06-Knowledge: 02-上下文窗口.md: ` - [OpenAI Prompt engineering guide](https://platform.openai.com/docs/guides/prompt-engineering) ## 适用场景与行动 **场景：**适合用来建立 AI 核心概念的共同语言。 **适合谁：**非技术创业者、AI 产品使用者、内容与业务负责人 **下一步：**先用一句话复述这个概念，再判断它和你的业务场景有什么关系。 这张卡片由杨思远基于真实工作流和实测经验整理。 如发现信息过时或有误，可通过 [/contact](https://siyuanailab.com/contact) 反馈。 [上一张：Token](https://siyuanailab.com/knowledge/ai-core/models/token/) [下一张：注意力机制](https://siyuanailab.com/knowledge/ai-core/models/attention-mechanism/) [返回当前分类](https://siyuanailab.com/knowledge/ai-core/models/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)