Unverified50% confidenceTradeoffExact time
Strong reasoning models represented by DeepSeek-R1 and Kimi K3 suffer from an overthinking problem, spending a large number of tokens on simple questions, slowing responses and increasing inference costs.
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50%
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Long-term
Relevance
9/16/2026
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Related Claims
UnverifiedQwen3 27B by default initiates the full long-chain reasoning process even for simple questions, meaning it exhibits an overthinking problem.75% similarUnverifiedThe thinking budget mechanism of reasoning models sets an upper limit on the number of reasoning tokens, and once exhausted, the model cannot output a complete answer, potentially causing overthinking issues.75% similarVerifiedModels may fall into the trap of overthinking, as longer reasoning time does not always lead to better results.72% similarVerifiedHigh-intensity reasoning configurations typically entail higher costs and longer response times, trading response speed for logical rigor.69% similarUnverifiedKarpathy identified three core problems with LLM programming: erroneous assumptions, over-complication, and out-of-scope modifications.68% similar
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