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arXiv · 2604.24954

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

NVIDIA·:·Amala Sanjay Deshmukh·Kateryna Chumachenko·Tuomas Rintamaki·Matthieu Le·Tyler Poon·Danial Mohseni Taheri·Ilia Karmanov·Guilin Liu·Jarno Seppanen·Arushi Goel·Mike Ranzinger·Greg Heinrich·Guo Chen·Lukas Voegtle·Philipp Fischer·Timo Roman·Karan Sapra·Collin McCarthy·Shaokun Zhang·Fuxiao Liu·Hanrong Ye·Yi Dong·Mingjie Liu·Yifan Peng·Piotr Zelasko·Zhehuai Chen·Nithin Rao Koluguri·Nune Tadevosyan·Lilit Grigoryan·Ehsan Hosseini Asl·Pritam Biswas·Leili Tavabi·Yuanhang Su·Zhiding Yu·Peter Jin·Alexandre Milesi·Netanel Haber·Yao Xu·Sarah Amiraslani·Nabin Mulepati·Eric Tramel·Jaehun Jung·Ximing Lu·Brandon Cui·Jin Xu·Zhiqi Li·Shihao Wang·Yuanguo Kuang·Huck Yang·Boyi Li·Hongxu Yin·Song Han·Bilal Kartal·Pavlo Molchanov·Adi Renduchintala·Charles Wang·David Mosallanezhad·Soumye Singhal·Luis Vega·Katherine Cheung·Sreyan Ghosh·Yian Zhang·Alexander Bukharin·Venkat Srinivasan·Johnny Greco·Andre Manoel·Maarten Van Segbroeck·Suseella Panguliri·Rohit Watve·Divyanshu Kakwani·Shubham Pachori·Jeffrey Glick·Radha Sri-Tharan·Aileen Zaman·Khanh Nguyen·Shi Chen·Jiaheng Fang·Qing Miao·Wenfei Zhou·Yu Wang·Zaid Pervaiz Bhat·Varun Praveen·Arihant Jain·Ramanathan Arunachalam·Tomasz Kornuta·Ashton Sharabiani·Amy Shen·Wei Huang·Yi-Fu Wu·Ali Roshan Ghias·Huiying Li·Brian Yu·Nima Tajbakhsh·Chen Cui·Wenwen Gao·Li Ding·Terry Kong·Manoj Kilaru
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Abstract

We introduce Nemotron 3 Nano Omni, the latest model in the Nemotron multimodal series and the first to natively support audio inputs alongside text, images, and video. Nemotron 3 Nano Omni delivers consistent accuracy improvements over its predecessor, Nemotron Nano V2 VL, across all modalities, enabled by advances in architecture, training data and recipes. In particular, Nemotron 3 delivers leading results in real-world document understanding, long audio-video comprehension, and agentic computer use. Built on the highly efficient Nemotron 3 Nano 30B-A3B backbone, Nemotron 3 Nano Omni further incorporates innovative multimodal token-reduction techniques to deliver substantially lower inference latency and higher throughput than other models of similar size. We are releasing model checkpoints in BF16, FP8, and FP4 formats, along with portions of the training data and codebase to facilitate further research and development.

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NVIDIA, :, Amala Sanjay Deshmukh, Kateryna Chumachenko, Tuomas Rintamaki, Matthieu Le, Tyler Poon, Danial Mohseni Taheri, Ilia Karmanov, Guilin Liu, Jarno Seppanen, Arushi Goel, Mike Ranzinger, Greg Heinrich, Guo Chen, Lukas Voegtle, Philipp Fischer, Timo Roman, Karan Sapra, Collin McCarthy, Shaokun Zhang, Fuxiao Liu, Hanrong Ye, Yi Dong, Mingjie Liu, Yifan Peng, Piotr Zelasko, Zhehuai Chen, Nithin Rao Koluguri, Nune Tadevosyan, Lilit Grigoryan, Ehsan Hosseini Asl, Pritam Biswas, Leili Tavabi, Yuanhang Su, Zhiding Yu, Peter Jin, Alexandre Milesi, Netanel Haber, Yao Xu, Sarah Amiraslani, Nabin Mulepati, Eric Tramel, Jaehun Jung, Ximing Lu, Brandon Cui, Jin Xu, Zhiqi Li, Shihao Wang, Yuanguo Kuang, Huck Yang, Boyi Li, Hongxu Yin, Song Han, Bilal Kartal, Pavlo Molchanov, Adi Renduchintala, Charles Wang, David Mosallanezhad, Soumye Singhal, Luis Vega, Katherine Cheung, Sreyan Ghosh, Yian Zhang, Alexander Bukharin, Venkat Srinivasan, Johnny Greco, Andre Manoel, Maarten Van Segbroeck, Suseella Panguliri, Rohit Watve, Divyanshu Kakwani, Shubham Pachori, Jeffrey Glick, Radha Sri-Tharan, Aileen Zaman, Khanh Nguyen, Shi Chen, Jiaheng Fang, Qing Miao, Wenfei Zhou, Yu Wang, Zaid Pervaiz Bhat, Varun Praveen, Arihant Jain, Ramanathan Arunachalam, Tomasz Kornuta, Ashton Sharabiani, Amy Shen, Wei Huang, Yi-Fu Wu, Ali Roshan Ghias, Huiying Li, Brian Yu, Nima Tajbakhsh, Chen Cui, Wenwen Gao, Li Ding, Terry Kong, Manoj Kilaru. 2026-04-27. Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence. https://arxiv.org/abs/2604.24954

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