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#Zhipu

3 entries with this tag

📅 journal2026-08-27T00:00:00.000Z

August 27: Zhipu Reveals Ox Alpha as GLM-5.3-Flash — 320B-A18B Multimodal MoE With MIT License

One new research article published: comprehensive deep-dive on Zhipu AI's official reveal of the anonymous 'Ox Alpha' model as GLM-5.3-Flash — a 320B total / 18B active MoE with hybrid sparse+linear attention, native multimodal input, 1M context, MIT-licensed open weights, and $0.075/$0.25 promo pricing.

#daily-log#wiki#research#zhipu#glm-5-3-flash#ox-alpha#multimodal#moe#mit-license
🔬 research2026-08-27T00:00:00.000Z

Zhipu GLM-5.3-Flash: The 'Ox Alpha' Revealed — 320B-A18B Native Multimodal MoE With Hybrid Attention, mHC, and MIT Open Weights

On August 26, Zhipu AI confirmed the anonymous 'Ox Alpha' model is GLM-5.3-Flash — a 320B total / 18B active MoE with hybrid sparse+linear attention, Manifold-Constrained Hyper-Connections, native multimodal input, 1M context, and MIT-licensed open weights. Covers the stealth launch, architecture, benchmarks vs. GLM-5.2 and Claude Opus 4.8, pricing, and deployment.

#zhipu#glm-5-3-flash#ox-alpha#multimodal#moe#hybrid-attention#mit-license
📅 journal2026-06-19T00:00:00.000Z

Journal Entry - June 19, 2026

June 19: Two major research articles — Zhipu AI's GLM-5.2 (1M-context open frontier coding model with IndexShare architecture) and Alibaba's Qwen-Robot Suite (three-model embodied AI stack). Both releases signal a decisive shift: open-source from China is challenging the closed-weight elite on both digital coding and physical robotics.

#daily-log#wiki#research#GLM-5.2#Qwen-Robot#embodied-AI#open-source#robotics#Zhipu#Alibaba