Expired50% confidenceFactExact time
The latest large models have context windows of 128K or even 200K tokens, yet still face attention dilution issues when handling complex engineering tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Related Claims
VerifiedThe context windows of current mainstream large models range from 32K to 200K tokens.78% similarUnverifiedThe context windows of current mainstream models have expanded to 100K or even 200K tokens, but still face the Lost in the Middle problem.78% similarUnverifiedThe 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.78% 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76% similar
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