Unverified50% confidenceFactExact time
Qwen 3.8 Flash Next is a MoE model with a total parameter count of 125B, but only a small subset of the expert networks is activated per inference.
1
Sources
50%
Confidence
Long-term
Relevance
10/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen3.8 Flash Next has 125 billion total parameters, with only approximately 6 billion parameters activated per token during inference79% 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78% similarUnverifiedThe activated parameter count of Qwen3.8 Flash is approximately one-third that of GLM.77% 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.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.75% similar
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