Unverified50% confidenceFactExact time
The MoE architecture activates only a small fraction of the 2.4T parameters during inference (typically 10–20%).
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50%
Confidence
Long-term
Relevance
9/6/2026
First Seen
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Related Claims
UnverifiedMoE models activate only a small fraction of total parameters per inference; Qwen3 Max may activate between 1/8 and 1/16 of the total parameters per inference.79% similarUnverifiedMoE模型中'35B'指总参数量，每个token只激活少量Expert（通常2-4个），实际计算量可能仅相当于6-7B的Dense模型77% similarUnverified千问3.6的35B MOE模型每次只激活其中3B的参数74% similarUnverifiedXiaomi MiMo adopts a Mixture-of-Experts (MoE) architecture with a total parameter count of 24.6B, activating only approximately 5.3B parameters per inference.72% similarUnverified在MoE模型中每个token只激活少量Expert（通常2-4个，Top-K路由），实际计算量可能仅相当于6-7B的Dense模型69% similar
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