Unverified50% confidenceFactExact time
For a model that does not reason by default, once any reasoning effort field (including low) is explicitly passed in the request, it is equivalent to asking the model to start thinking, which causes a model that should be fast to become slow or even return an empty string.
1
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50%
Confidence
Long-term
Relevance
10/15/2026
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Related Claims
UnverifiedThe same reasoning effort parameter means reducing thinking on a model that reasons by default, but means starting to think on a model that does not reason by default, the semantics being opposite.79% similarUnverifiedWhen constraining output format through prompts, the model may forget these constraints in long conversations or complex reasoning scenarios.76% similarUnverifiedDecision Models have no reasoning step — the model reads the prompt once and directly scores the answer tokens, which is the fundamental reason for their speed.76% similarUnverifiedWhen models are asked to return the answer as a single 400-character string, most models miscount cells before the logic even becomes difficult, losing their ability to track positional counts.75% similarUnverifiedSmall-model inference exhibits a "warm-up" phenomenon: the first request needs to load model weights, compile the computation graph, and allocate the KV Cache, so it takes noticeably longer; subsequent requests reuse the already-loaded model.74% similar
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