Best omni-modal reasoning model achieves highest efficiency and accuracy for use in enabling agentic tasks like computer usage, document reasoning, and audio-visual reasoning.
The current AI agent systems employ different models for their vision, speech, and language abilities, thereby losing on both time and context as they shift information between models.
Introducing now, the NVIDIA Nemotron 3 Nano Omni represents an open multimodal model that integrates all these skills within a single architecture. This way, AI agents will be able to perform faster and better with improved reasoning on video, audio, images, and text. This top-of-the-line multimodal model provides enterprises and developers with a path for deploying efficient and accurate multimodal AI agents with complete control over them.
Also Read :LG & NVIDIA Talks Reveal the Future of Physical AI – What’s Coming Next

With high levels of efficiency, accuracy, and low costs, the NVIDIA Nemotron 3 Nano Omni breaks all records on six leaderboards related to document intelligence, video, and audio understanding.
Nemotron 3 Nano Omni has already been incorporated into AI and software organizations including Aible, ASI, Eka Care, Foxconn, H Company, Palantir and Pyler. Dell Technologies, DocuSign, Infosys, K-Dense, Lila, Oracle and Zefr are in the process of considering its adoption.
“To create functional agents, one cannot afford to have delays when trying to make sense of the screens,” stated Gautier Cloix, Chief Executive Officer at H Company. “With the help of Nemotron 3 Nano Omni technology, our agents are able to analyze full HD screen recordings instantly, which was not possible previously. It is more than an improvement in terms of processing speed; it is entirely changing the way our agents see their environment.”
Also Read : What OpenClaw Agents Mean for Every Organization

Nemotron 3 Nano Omni Enables Faster, Leaner Multimodal Agents
Imagine an AI agent working in customer support who processes a recorded video on the screen, analyzes the uploaded recording of a phone call, and checks data logs. Or consider a financial AI agent that processes PDF documents, tables, graphs, and voice memos.
Traditionally, most agentic AI systems use different models for vision, speech, and language tasks to do all of the above.
This causes unnecessary latency by repeatedly running inference, splits context between modalities, and accumulates errors and costs over time.
With a unified multimodal perception model built into the hybrid mixture-of-experts architecture of Nemotron 3 Nano Omni, it is possible to get rid of multiple perception models and run inference more efficiently at scale. This efficiency is complemented by excellent accuracy of multimodal perception, allowing AI systems to perform nine times faster than competing open omni models with the same interactivity level.
When using agentic models, Nemotron 3 Nano Omni can be combined with other proprietary cloud models or NVIDIA Nemotron models (for example, Nemotron 3 Super if frequent execution is required or Nemotron 3 Ultra if complex planning is needed), as well as any proprietary models, in order to build sub-agents for the processes of computer use, document intelligence, and audio/video processing.

The computer usage agents – Nemotron 3 Nano Omni allows you to perform perceptual tasks for agents who navigate through the graphical interface. The latest computer usage agent of H Company, powered by Nemotron 3 Nano Omni, works with a native input resolution of 1920×1080 pixels and, in tests on the OSWorld benchmark, demonstrated the greatest progress in navigating graphical interfaces using the ability of Nemotron 3 Nano Omni to perform analysis of ultra-high resolution images.
Document intelligence – understanding of the contents of various documents, charts, tables, screenshots, mixed media and many other visual inputs, which is required for business intelligence and compliance purposes.
Audio-video intelligence – for the processes of customer service, investigation and monitoring, allowing to maintain the context of audio-video analysis, and connect together the information that was spoken, presented and documented.
Flexible & Customizable, Available Anywhere
Nemotron 3 Nano Omni has been made available with open weights, datasets, and training methodologies to ensure full transparency and control of the model’s customizability and deployment.
Users can leverage tools such as NVIDIA NeMo to customize, evaluate, and optimize the model for their use case. The Nemotron models being open enable organizations to deploy them where they comply with regulatory, sovereign, or data localization policies.
The Nemotron 3 family of models (Nano, Super, and Ultra) has had more than 50 million downloads in the last year. The Omni version brings the Nemotron family of models into the multimodal and agentic realms.
Nemotron 3 Nano Omni is accessible via the Hugging Face, OpenRouter, and build.nvidia.com platform as a NVIDIA NIM microservice and via an expansive network of NVIDIA Cloud Partners, inference platforms, and cloud service providers.
