Expired70% confidenceFactExact time
The context window of mainstream models has expanded from an initial 4K to 128K or even larger, but a larger context means higher inference latency and cost.
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
Valid until: 10/7/2026(expired)
Sources
Related Claims
UnverifiedThe context window of modern large models has expanded from the early 4K tokens to 128K or even longer, and the computational complexity of the attention mechanism grows quadratically with context length.84% similarVerifiedThe context window of large language models has expanded from 4K to the million-token level.77% 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.76% similarUnverified随着模型上下文窗口从4K到128K再到未来可能的数百万token持续扩大，记忆管理和状态管理的实际效果差距会逐渐缩小76% similar
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