MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B

Alibabas Qwen3 30B-A3B and OpenAIs GPT-OSS 20B represent advanced implementations of Mixture-of-Experts (MoE) transformer architectures, with Qwen3 featuring 30.5 billion parameters and GPT-OSS 20B comprising 21 billion. Qwen3 employs a deeper architecture with 48 layers and 128 experts per layer, activating 8 experts per token to optimize computational efficiency while maintaining high performance, utilizing Grouped Query Attention with 32 query heads and 4 key-value heads. In contrast, GPT-OSS adopts a shallower