Unverified50% confidenceCautionExact time
When the state scale is too large (such as 100,000 input tokens), the accuracy of decision models drops significantly, so they are better suited to short content.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
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UnverifiedModels at higher reasoning tiers such as Max or Ultra do not necessarily produce better or more efficient results, and sometimes benchmark scores actually decline due to over-reasoning74% similarUnverifiedWhen the context exceeds 40% of the model's context window, the model's reasoning ability noticeably degrades, exhibiting a decline in intelligence.73% similarUnverified推测解码中当草稿通过率低于50%时，实际加速效果会大打折扣甚至产生负优化72% similarVerifiedModel quantization replaces high-precision parameters with lower-precision numerical representations, and can theoretically reduce model size and computation by 2–4×.72% similarUnverifiedAt a context length of 100k, the generation speed of local LLM inference may drop by more than 50% compared to short text.72% similar
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