OpenResearcher-30B-A3B Overview
OpenResearcher-30B-A3B is an agentic large language model designed for long-horizon deep research fine-tuned from NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 on 96K OpenResearcher dataset with 100+ turns. The dataset is derived by distilling GPT-OSS-120B with native browser tools. More info can be found on the dataset card at OpenResearcher dataset.
The model achieves an impressive 54.8% accuracy on BrowseComp-Plus, surpassing performance of GPT-4.1, Claude-Opus-4, Gemini-2.5-Pro, DeepSeek-R1 and Tongyi-DeepResearch.
Deep Research Benchmark Results
Evaluate OpenResearcher-30B-A3B
We evaluate OpenResearcher-30B-A3B across a range of deep research benchmarks, including BrowseComp-Plus, BrowseComp, GAIA, xbench-DeepSearch. Please find more details in GitHub.
Quick Start
We provide a quick-start in GitHub that demonstrates how to use OpenResearcher-30B-A3B for deep research.
Core Contributors
Advisors
Acknowledgements
Citation
@article{li2026openresearcher,
title={{OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis}},
author={Li, Zhuofeng and Jiang, Dongfu and Ma, Xueguang and Zhang, Haoxiang and Nie, Ping and Zhang, Yuyu and Zou, Kai and Xie, Jianwen and Zhang, Yu and Chen, Wenhu},
journal={arXiv preprint arXiv:2603.20278},
year={2026}
}