Unverified50% confidenceSolutionExact time
更聪明的模型能在更少的推理步骤内完成任务，减少冗余token输出，这被称为「token压缩效应」，是新一代模型降本的核心来源之一
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
生产级AI Agent迁移GPT-5.6实战：提速2.2倍、降本27%的工程经验
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Verified模型蒸馏是将大模型的能力压缩到小模型中以降低推理成本的技术85% similarUnverifiedLightweight models are compressed in scale through knowledge distillation and model pruning techniques; knowledge distillation has the small model mimic the output probability distribution of the large model, while pruning removes network weights that contribute least to the output.77% similarUnverifiedLightweight models compress parameter scale through techniques such as knowledge distillation and quantization, optimizing for inference speed and cost, but make trade-offs in complex logical reasoning and long-context understanding.73% similarUnverifiedSpeculative Decoding reduces computation by using a small model to predict the output tokens of a large model72% similar
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