← Back to Home

#ox-alpha

2 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