Verified65% confidenceFactExact time
The 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.
3
Sources
65%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe 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.79% similarUnverifiedIn LLM calls, prompt tokens refer to the number of tokens contained in the input portion sent to the model, including the system prompt, schema summary, historical conversation, and current instruction; completion tokens are the output portion generated by the model.79% similarVerifiedThe context window refers to the maximum total number of tokens a model can process in a single request, including the input prompt and the model output.79% 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.78% similarUnverifiedA large model's context window refers to the upper limit on the total number of tokens it can "see" in a single conversation, including the system prompt, historical conversation, uploaded files, and the reply about to be generated; before each round of reply, Codex needs to send the entire project history back into the model, so the longer the conversation, the higher the usage, and when the limit is reached it will truncate or report an error.75% similar
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