Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads

Nanbeige 4.1-3B is a new open-source 3 billion parameter model. It is giving strong performance on reasoning, code, math, and agent capability. It is completely free and open source.

Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads - Benchmarks

On LiveCodeBench it is giving 76.9 percent accuracy. On LiveCodeBench 6, Gemini 2.5 Pro preview is at 80.1 percent, and DeepSeek R1 is at 76.8 percent. A 3 billion model matching that range against DeepSeek R1 at around 670 billion parameters is actually amazing.

It is doing well on reasoning and science reasoning. Tool use is strong. It is delivering great results across code, reasoning, and math.

Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads - Model Overview and Features

It is built upon the Nanbeige 43 billion base. Previously it was the Nanbeige 4 model, and now it is the updated 4.1 model. It shows that a compact model can achieve robust reasoning performance, alignment, and effective agentic behaviors.

It is capable of solving complex multi-step problems through sustained and coherent reasoning within a single forward pass. It has robust preference alignment and agentic capability. It can natively support deep research tasks and reliably sustain complex problem solving involving more than 500 rounds of tool invocations.

In benchmark comparisons across 3, 8, 14, and 30-32 billion parameter models, the 3 billion model is beating many larger models. A 3 billion model beating some 30 billion models is amazing. The results cover code, reasoning, and math.

Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads - Try It Locally in LM Studio

I tried this model inside LM Studio. You can run it locally without any hassle on a typical device. The model file is around 2GB, so you can download it easily.

Open LM Studio.

Search for the model name Nanbeige 4.1-3B.

Select the model that was updated recently and start the download.

Load the model and start a new chat.

Paste your question and request the output.

I tested with a tricky coding question and asked for the output only. The model returned 222, and it matched the expected answer 222. It also mentioned y012 and explained how to get the output as 012, along with the needed fixes.

You can use this model for coding explanation purpose. It can help you get the context of a codebase and answer queries about it. For normal general purpose tasks you can use it too.

Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads - Use Cases

Use it to explain code and debug logic clearly. Ask it to interpret snippets and identify the steps needed to correct outputs. Use it for general reasoning and math tasks that need multi-step thinking.

Final Thoughts on Nanbeige4.1-3B: The Tiny Open Source AI Turning Heads

Nanbeige 4.1-3B pairs a tiny parameter count with strong results on reasoning, code, math, and tool use. It is free, open source, easy to run locally, and it delivered accurate outputs in my tests. For development and real life coding work, it is a great model to try.