Unverified50% confidenceFactExact time
The context window refers to the maximum number of tokens a large model can process in a single inference, covering the sum of the input prompt and the output completion, and content exceeding the window will be truncated or cause the call to fail.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Agent Hands-On Project Learning Path: A Guide from Beginner to Advanced Interview Prep
bilibiliAI大模型小将10/16/2026
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Related Claims
Unverified上下文窗口是指大模型在单次推理中能够处理的最大Token数量，更大的上下文窗口意味着更高的计算成本80% similarVerifiedThe context window of a large language model determines the upper limit of information the model can process in a single inference.80% similarUnverifiedExecution summaries generated by large language models are probabilistic inferences based on context rather than replays, and may produce summaries inconsistent with actual operations when the execution chain is long and intermediate steps are compressed in the context window.78% similarUnverifiedThe LLM context window is the maximum number of tokens the model can receive in a single call, including the system prompt, conversation history, retrieved memories, tool definitions, and the current input; when the sum of the content approaches the window limit, the model needs to truncate or compress, usually discarding the earliest content first.73% similarVerifiedThe memory of LLMs depends on the context window, which is the maximum number of tokens the model can process in a single inference.72% similar
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