Verified65% confidenceFactExact time
The 1 million token output limit refers to the ceiling on content the model can generate in a single response, not the context window (input) length.
3
Sources
65%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe context window refers to the upper limit of tokens a model can process simultaneously in a single inference; 128K is roughly equivalent to a medium-length book, and 1 million tokens is roughly equivalent to thousands of pages of documents or a small-to-medium-sized codebase.73% similarUnverifiedEvery request should set an output cap tailored to the task size, and the 1M token default cap should not be kept.72% similarUnverifiedThe context window is the maximum number of tokens a model can process in a single call, and exceeding it triggers compression or truncation.72% similarUnverified200,000 lines of code far exceeds the window limits of tens of thousands of tokens in earlier models.69% similarUnverifiedMost models have a single output limit of between 4,000 and 8,000 tokens, with some high-end models supporting up to 32,000 tokens.69% similar
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