Nanbeige Releases 33B Open-Source Agentic Coding Model Nanbeige4.3-33B
Nanbeige has released Nanbeige4.3-33B, a new 33-billion-parameter open-source model. The model is available on Hugging Face under an Apache 2.0 license and is specifically designed for agentic coding tasks, also being offered in a quantized GGUF format for broader accessibility. Nanbeige claims the model is a "teacher model for smaller agents" and aims to compete with established models like Qwen (specifically Qwen3.8-27B) and Gemma in coding performance. This release and its competitive aspirations have been widely reported by outlets such as Startup Fortune, MarkTechPost, Pasquale Pillitteri, and discussed within the r/LocalLLaMA and r/MachineLearning communities. The performance claims against competitors are primarily asserted by Nanbeige itself.
7 articles from 5 outlets covered this story. No difference in framing or figures was found between them. The underlying claim is sourced from a benchmark.
What do all outlets agree on?
5 outlets covered “Nanbeige Releases 33B Open-Source Agentic Coding Model Nanbeige4.3-33B”. All of them report the following:
- Nanbeige released a model
- The model is named Nanbeige4.3-33B
- It has 33 billion parameters
- It is an open model/open source
- It is designed for coding/agentic coding
- It is available on Hugging Face
- It is available in quantized GGUF format
- It is under Apache 2.0 license
- It aims to compete with Qwen and Gemma
Did outlets disagree about this?
No. All 5 outlets covering “Nanbeige Releases 33B Open-Source Agentic Coding Model Nanbeige4.3-33B” reported it the same way — no difference in framing or figures was found between them.
Which outlets covered this?
All 7 articles found on this story, grouped by the stance of the piece. Every link goes to the original publisher.