Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
arXiv cs.LG / 4/29/2026
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Key Points
- Nemotron 3 Nano Omni is a new multimodal model that natively accepts audio inputs in addition to text, images, and video.
- The model achieves consistent accuracy gains over Nemotron Nano V2 VL across all modalities, attributed to improvements in architecture, training data, and training recipes.
- It reports strong performance in real-world document understanding, long audio-video comprehension, and agentic computer use.
- Built on the efficient Nemotron 3 Nano 30B-A3B backbone, it uses multimodal token-reduction techniques to lower inference latency and increase throughput versus similarly sized models.
- The authors plan to release model checkpoints in BF16, FP8, and FP4, along with parts of the training data and codebase, to support further research and development.
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