GLM-5.3-Flash Uses Hybrid Attention to Cut Long-Context Costs
multimodalart · x · 2026-08-26
GLM-5.3-Flash is released, featuring a redesigned architecture and training recipe based on a new foundation model. It utilizes a hybrid of sparse and linear attention mechanisms, sharply reducing serving costs for long-context tasks while preserving precise capabilities.
Related event: Zhipu Releases GLM-5.3-Flash with 320B MoE and Million-Token Context(3 posts)→
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