X：Rohan Paul

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Finally, Z .ai revealed that Ox Alpha was actually GLM-5.3-Flash. So that means over the last few days all those 100 tn tokens/day of stealth traffic capacity was running on Chinese AI chips, with tens of thousands of domestic accelerators behind the service. not an NVIDIA GPU cluster. 5.3-Flash beats GLM-5.2 at one-tenth the price with only 18B active parameters. GLM-5.3-Flash. has 320B params in total, but only 18B are active during inference. It also uses 45 layers instead of GLM-4.5's 92, cutting the amount of work required for each token. The benchmark jumps are large too: against GLM-5.2, DeepSWE rises from 46.2 to 63.4 and AutomationBench from 26.2 to 48.8. There is an architectural change as well, that cuts attention compute 3x and per-layer KV cache 4.4x versus GLM-5.3. The novelty is mainly in the combination: GLM-5.3-Flash uses linear attention for cheap state tracking, then sparse attention with a lightweight indexer to retrieve only the distant context worth revisiting, instead of repeatedly attending across the full 1M-token window. They also introduces IndexPool, which compresses four indexer key vectors into one, and says the combined design

OxAlpha is a new iteration of GLM, from China’s Z .ai And it will change how you run long running agent fast. --- bloomberg .com/news/articles/2026-08-26/china-s-z-ai-made-ox-alpha-stealth-model-that-rivals-deepseek https://t.co/ZOTlnBgOsy

WSJ: OpenAI’s head of data centers has left as the company. Chris Malone departed last week after joining in March 2025, shortly after OpenAI announced the Stargate infrastructure project. https://t.co/uKtDJet2au