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Unverified50% confidenceFactExact time

In the MoE architecture, a 600-billion-parameter model might only activate 37 billion parameters per inference

1

Sources

50%

Confidence

Medium-term (~90 days)

Relevance

7/2/2026

First Seen

Valid until: 9/30/2026

Sources

DeepSeek V4 Pro In-Depth Review: Performance Rivaling GPT-5.5 at 1/12 the Cost

bilibili63号炼金工坊6/18/2026

Related Claims

UnverifiedMoE架构下模型总参数量远大于单次推理实际激活的参数量，Qwen3.8每次推理激活参数可能仅数百亿级别79% similar UnverifiedMoE架构在推理时仅激活一小部分专家子网络，2.4T参数模型每次推理可能仅激活约200-400亿参数79% similar UnverifiedMoE架构在任意时刻只有不到十分之一的参数实际参与计算，使模型在拥有大模型知识容量的同时保持小模型的推理速度和计算成本75% similar Verified1.6万亿参数级别的巨型模型通常采用混合专家架构（MoE），每次推理只激活一小部分专家子网络71% similar Partially VerifiedMixture of Experts (MoE) architectures allow models to maintain large parameter counts while only activating a subset of parameters during inference, reducing computational overhead70% similar

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