Nanbeige Releases the Open-Source Nanbeige4.3-33B Model
Nanbeige has released Nanbeige4.3-33B, claiming that it achieves SOTA agent performance among open-source models with roughly 30B parameters, with outstanding results on agentic coding and cowork tasks. The model surpasses Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B on most benchmarks, and once integrated into mainstream agent frameworks, it can handle real-world tasks at relatively low inference cost. The company also plans to release a smaller Nanbeige4.3-3B, with the 33B version serving as its teacher model.
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The original text provides benchmark comparisons of this model among open-source models with roughly 30B parameters, which readers can use to gauge the current level of small-parameter agent models.
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View original post🚀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://t.co/tSToQgZf2O https://t.co/D228euvybz #LLM #Agent
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🚀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://t.co/tSToQgZf2O https://t.co/D228euvybz #LLM #Agent
Body
Nanbeige released Nanbeige4.3-33B, a new SOTA open model in the ~30B parameter class.
> "Nanbeige4.3-33B leads on most of the benchmarks, showing strong performance in both agentic coding and cowork tasks."
> The model outperforms Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B on most benchmarks.
> A smaller model, Nanbeige4.3-3B, is also planned for the future.