NVIDIA Nemotron 3 Nano Omni is an open multimodal model with highest efficiency that powers sub-agents to complete tasks faster across vision, audio, and language
To run the smallest Nemotron 3 Omni, you need at least 25 GB of RAM.
Nemotron 3 Omni models support tool use, vision input, and reasoning. They are available in gguf.
NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family.
This model is available for commercial use.
This model was improved using Qwen3-VL-30B-A3B-Instruct, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen2.5-VL-72B-Instruct, and gpt-oss-120b. For more information, please see the Training Dataset section below.
This model is designed for enterprise customers requiring multimodal understanding capabilities. Expected users include:
Customer service applications (e.g., Doordash video of drop-off at a given address via OCR, drive-thru order verification) Media and Entertainment (M&E) — video and speech analysis, dense captions, video search and summarization Document intelligence for AI assistants (contracts, SOW/MSA, scientific discovery, financial documents) GUI automation for AI agentic applications (incident management, agentic search, browser agents, email agents)