Unverified50% confidenceFactExact time
The maximum context window advertised by vendors describes how much input a model can accept; it does not mean the model can accurately utilize all of that input, nor that it will fit in your memory.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSystem prompts generally hold the highest priority in the model's attention mechanism because they appear earliest in the context window, allowing injected instructions to override rules set by subsequent users or agents.71% similarUnverified在Cursor使用场景中，发送给模型的上下文包括编辑器自动附加的代码上下文、文件结构信息和项目索引数据，隐含Token消耗往往是用户可见输入的数倍甚至数十倍71% similarUnverifiedMainstream model APIs charge separately for input tokens and output tokens, where input includes system prompts, context history, and retrieved document fragments70% similarVerifiedThe context window determines how much content the model can remember within a single conversation.70% similarUnverifiedThe core insight of context engineering is that model output quality is strongly correlated with the content of the input context window, including code snippets, file structure, conversation history, tool call results, and externally retrieved documents.70% similar
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