Unverified50% confidenceFactExact time
Inference-time scaling refers to improving output quality by increasing computation during the model's inference stage without modifying model parameters.
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Long-term
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11/5/2026
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VerifiedInference-time computation improves output quality by allocating more computational resources during the inference stage while keeping model parameters fixed.76% similarUnverifiedExtended thinking enhances a model's logical reasoning and multi-step analysis capabilities, but cannot conjure new knowledge that the model has never been exposed to.75% similarUnverifiedThe MAX level essentially extends the model's chain of thought within a single inference, allowing the model to perform more internal iterations before output, rather than invoking more parallel resources.75% similarVerifiedThe essence of reasoning-enhanced models is trading inference-time compute for accuracy74% similarVerifiedInference-time scaling improves model performance by increasing computation during the inference phase, and exhibits a power-law relationship similar to that of pre-training.74% similar
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