Unverified50% confidenceFactExact time
The Qwen3.5 flagship 397B-A17B adopts a hybrid architecture that combines Gated Delta Networks with sparse Mixture-of-Experts (MoE), activating only 17 billion parameters per token.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen 3.8 27B adopts a hybrid architecture in which, across 64 layers, the majority use Gated DeltaNet layers with Gated Full Attention layers interspersed at regular intervals.74% similarUnverifiedQwen 3.6（Qwen3-30B-A3B）采用混合专家架构，总参数约300亿，激活参数约36亿，以Apache 2.0协议开源73% similarUnverifiedAccording to NVIDIA's official tests, the optimal decoding combination for Qwen3 27B on Jetson is NVFP4 quantization combined with speculative decoding.69% similarPartially VerifiedQwen3.8-Flash-Next adopts a Mixture of Experts (MoE) architecture with 125B total parameters and 6B activated parameters.69% similarUnverifiedQwen3-Coder 30B uses a Mixture-of-Experts (MoE) architecture, activating only approximately 3.3 billion parameters per inference, but the download package contains the full model weights.67% similar
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