Verified90% confidenceFactExact time
The emergent property of CoT manifests only when model parameter count exceeds approximately 100 billion, at which point it significantly improves performance, while being almost ineffective on smaller models.
6
Sources
90%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
bilibili码士集团-Java技术库6/5/2026
Related Claims
UnverifiedResearch found that CoT reasoning ability emerges spontaneously only in ultra-large-scale models with more than approximately 100B parameters.78% similarUnverifiedThe CoT effect is especially pronounced in models with parameter counts exceeding approximately 100B, manifesting as 'emergent capabilities'.72% similarUnverified研究表明CoT提示在参数量低于100B的模型上几乎无效72% similarUnverifiedPerplexity reported in its research benchmarks that the new model achieved a 9% improvement in accuracy compared to the old model at half the cost.67% similarUnverifiedA higher physical ceiling on the output window does not mean the effective output length increases proportionally; a model that can generate 1 million tokens but starts hallucinating at 200K tokens has less practical value than one that stably outputs 300K tokens.66% similar
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