Verified75% confidenceFactExact time
The 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.
5
Sources
75%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe context window determines how much content the model can remember within a single conversation.79% similarUnverifiedThe context window refers to the upper limit on the total number of tokens the model can receive in a single LLM call, including the system prompt, conversation history, tool return results and the current user input.78% similarUnverifiedThe context window is the maximum number of tokens an LLM can process in a single inference, including the system prompt, memory files, conversation history, and the code of the current task, and it is a fixed budget.76% similarUnverifiedContext is all the information the model can see when generating the current reply (including system prompts, historical conversation, uploaded files, etc.), it is measured in tokens and has an upper limit, and when approaching the limit the earlier content will be discarded or needs to be compressed75% 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% similar
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