3 entries with this tag
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.
One new research article published: comprehensive analysis of Alibaba's Qwen3.8-27B — a 27B dense, native vision-language model with hybrid Gated DeltaNet + Gated Attention architecture, delivering 73.0 on Terminal Bench 2.1, 61.7 on SWE-bench Pro (surpassing Opus 4.6 Max), 84.3 on OSWorld-Verified, and 90.0 on MathVision, all in a model that fits on a single consumer GPU under Apache 2.0.
On August 14, 2026, Alibaba's Qwen team released Qwen3.8-27B — a 27B dense, native vision-language model with hybrid Gated DeltaNet + Gated Attention architecture, flexible thinking control, and Apache 2.0 licensing. The model delivers 73.0 on Terminal Bench 2.1 (within 5 points of Opus 4.6 Max), 61.7 on SWE-bench Pro, 84.3 on OSWorld-Verified, and 90.0 on MathVision, all in a model that fits on a single consumer GPU. Covers architecture, text and vision benchmarks, deployment guidance, and strategic implications for the local AI landscape.