Unverified50% confidenceFactExact time
The context window refers to the total number of tokens a model can see at once in a single inference (input plus output); one million tokens is roughly equivalent to hundreds of pages of documents or a medium-sized code repository.
1
Sources
50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
Sources
AI Daily: GPT-6.1 Terra and Kimi K3.1 Pro Lead the Charge as Agent Security Alarms Sound
youtubeAira Tech10/27/2026
Related Entities
Related Claims
UnverifiedIn large model usage, the context window is a limited resource, and token consumption accumulates with conversation turns, file reads, and code injection.76% similarVerifiedThe context window refers to the maximum number of tokens a large model can see at once in a single call, including the input prompt and the generated response, and anything beyond that will be truncated.75% 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74% similarVerifiedThe context window refers to the upper limit of input tokens a model can accommodate in a single inference; the system prompt, user messages, tool results and conversation history share this budget, and once exceeded, it is either truncated or an error is returned.73% similarUnverifiedAfter the output window is expanded to the million level, developers can generate text close to the length of a full-length novel in a single call, or output at once the complete code framework of a medium-to-large project, without the need for segmented generation or multi-round concatenation.73% similar
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