Unverified50% confidenceFactExact time
Every model has a fixed context window (such as 8K, 32K, 128K tokens), which must simultaneously hold the system prompt, tool definitions, historical conversation, and current input.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedThe 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.72% 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.71% similarUnverifiedThe context window is the total upper limit encompassing the system prompt, conversation history, and current input and output; when deployed locally, a larger context window requires more VRAM to store the KV Cache.71% similarUnverifiedThe context sent with each model call typically includes the system prompt, the tool definition list, memories and files, and the full conversation record.71% similarUnverifiedThe context window refers to the complete set of input and output tokens visible to a large language model at any given moment, consisting of input tokens plus output tokens.71% similar
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