Unverified50% 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge language models have an inherent context window limitation, with the number of tokens that can be processed in a single pass typically ranging from tens of thousands to hundreds of thousands of tokens.73% similarVerifiedThe context window is the maximum amount of information a large model can process in a single session, measured in tokens; modern top-tier models' context windows have expanded from the early 4K tokens to 200K tokens or even higher.68% similarUnverified1 token is approximately equal to 0.75 English words, and modern models have extended the context window limit to 128K tokens.68% similarUnverified128K指模型的上下文窗口大小，即模型单次可以处理约128,000个Token的输入信息68% similarUnverifiedThe output token unit price of large model APIs is typically 2–4 times that of input tokens, because the autoregressive generation mechanism requires one independent forward pass per output token and KV Cache occupies a large amount of GPU memory.67% similar
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