# Nanbeige releases Nanbeige4.3-33B, a ~30B open model for agentic tasks

> Original title: Nanbeige released Nanbeige4.3-33B, a new SOTA open model in the ~30B parameter class.

- Source: Testing Catalog
- Published: 2026-10-25T17:06:12.000Z
- Bad Influence: https://badinfluence.news/items/yfxtdtq2l99dijalvohzgn1br
- Original: https://x.com/testingcatalog/status/2114403162027155544

## Summary

Nanbeige releases Nanbeige4.3-33B, an open model in the roughly 30B parameter class that it says leads most benchmarks in agentic coding and cowork tasks. The company says the model outperforms Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B on most benchmarks. Nanbeige plans to use it as a teacher for a smaller Nanbeige4.3-3B model.

## Post

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.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVfedn4XoAEc0vw.jpg&mode=thumb&exp=1793491200&sig=6f242724526ca77c)

## Quoted post @nanbeige

> 🚀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 #Agent

https://x.com/nanbeige/status/2114328933181333798