Verified70% confidenceFactTime unknown
Qwen3.6 35B-A3B是混合专家架构（MoE），总参数量35B，每次推理实际激活参数量约3B
4
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
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Related Claims
VerifiedQwen3-235B has a total parameter count of 235 billion, adopts a MoE architecture, and activates approximately 22B parameters during each forward inference pass.80% similarUnverified35B-A3B is a MoE architecture naming convention, where 35B refers to a total parameter count of approximately 35 billion, and the A in A3B stands for activated parameters of approximately 3 billion.78% similarUnverifiedAlibaba open-sourced Qwen3.5, a Mixture of Experts model with 397B total parameters and only 17B parameters activated.78% similarUnverifiedQwen3 covers a complete parameter matrix ranging from 0.6B to 235B77% similarUnverifiedThe 14B MoE model is derived by compressing the Qwen3.6 35B MoE, reducing total parameters from 35B to 14B, while the active parameters per forward pass remain at 3B, fully consistent with the original 35B76% similar
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