Unverified50% confidenceFactExact time
Qwen3-Next-80B has a MoE architecture with about 80B total parameters, but each forward inference only activates about 3B parameters.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedQwen3.6 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3B78% similarUnverifiedQwen3.5-122B-A10B is a MoE architecture model with approximately 122B total parameters and approximately 10B activated parameters, activating only about 10 billion parameters per inference.76% similarUnverifiedMoE 架构每次前向传播只激活部分专家子网络，Qwen3.6 35B A3 中约激活 3B 参数75% similarVerifiedMoE 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.71% similarPartially VerifiedBoth Qwen 3 Max and DeepSeek-V3 adopt the MoE architecture with total parameter counts reaching hundreds of billions, but the parameters actually activated during inference are only a small fraction of the total.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1018995API
curl https://kongchang.com/api/v1/knowledge/claims/1018995MCP
get_claim(id=1018995)