GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecture
MarkTechPost 1 month ago 7 ● 4 sources
Z.ai released GLM-5.3-Flash and Alibaba’s Qwen team released Qwen3.8-Flash-Next within a day of each other, both independently arriving at near-matching model configuration choices for multimodal “Flash” models. GLM-5.3-Flash is a 320B multimodal MoE model with 18B active parameters and lists $0.15 per million input tokens and $0.50 per million output tokens. The article reports that this shared architecture converges on the same 3:1 linear-to-full attention ratio with 2048-token attention budgeting and four gated residual streams, while they differ on positional encoding (GLM uses NoPE, Qwen keeps RoPE) and MiniMax stands apart by using sparse softmax attention only.