LMSYS Org(@lmsysorg):Very excited to see native vision come to the @Zai_org GLM family, and impressed by the architecture work behind it! With SGLang features like RadixAttention and HiCache, GLM-5.3-Flash is one of the most efficient and capable choices for agentic work across coding and professional tasks. Can't wait to see what people will build and run with them👏

2026.08.26 16:04

Very excited to see native vision come to the @Zai_org GLM family, and impressed by the architecture work behind it! With SGLang features like RadixAttention and HiCache, GLM-5.3-Flash is one of the most efficient and capable choices for agentic work across coding and professional tasks. Can't wait to see what people will build and run with them👏

SGLang@sgl_project

2026.08.26 14:15

GLM-5.3-Flash (320B-A18B) from @Zai_org drops today with day-0 support in SGLang. You may know it as ox-alpha from the past few days! 👀 It's the first native multimodal model in the GLM-5 series, able to review its own output visually and fix what's wrong. 🚀 It outperforms GLM-5.2 at 1/10 the cost. Hybrid sparse plus linear attention enables stable 1M long-context performance at extreme cost efficiency. 💻 It goes beyond coding into professional work: slides, documents, spreadsheets, and finance research, all handled end to end. Run GLM-5.3-Flash with SGLang, and welcome to a new era of efficient, production-ready open intelligence!