The post compares Nanbeige4.3-33B with Qwen3.8 27B and Muse Glimmer 30B across agentic coding, cowork and reasoning benchmarks, showing where the open model leads and where it trails.
A Chinese job-recruitment app just released an open-weights 33B model that beats Qwen 27B on most agentic benchmarks.
Nanbeige is the research team of BOSS Zhipin (think WhatsApp meets LinkedIn).
Strong open models in China now come from labs, cloud providers, quant funds... and job boards. China's open-weights roster keeps getting deeper.
🚀Excited to announce Nanbeige4.3-33B! To push the performance ceiling of small agents, our strategy in Nanbeige4.3 starts with building a powerful teacher first. Nanbeige4.3-33B delivers SOTA agentic performance among open models at ~30B parameters: * Strong results on agentic coding and cowork benchmarks. * When integrated into mainstream agent harnesses, it tackles real-world tasks with cost-efficient inference. * It will serve as a teacher for upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B. https://huggingface.co/Nanbeige/Nanbeige4.3-33B https://huggingface.co/Nanbeige/Nanbeige4.3-33B-Base #LLM #AgentView quoted post on X
Thomas Wolf · x.comPublished · added here
Original title: A Chinese job-recruitment app just released an open-weights 33B model that beats Qwen 27B on most agentic benchmarks.
