Document intelligence
Analyze long documents, charts, tables, screenshots, and scanned visual layouts in a shared context.
Independent tool overview
Nemotron 3 Nano Omni at a glance
NVIDIA Nemotron 3 Nano Omni is a commercially usable open-weight model that understands video, audio, images, and text and returns text for agent and document workflows.
Visit the official Nemotron 3 Nano Omni site ↗
- Developer
- NVIDIA
- Architecture
- 31B MoE, about 3B active parameters
- Context window
- Up to 256K tokens
- Inputs
- Video, audio, image, and text
- Output
- Text, JSON, tool calls, and timestamps
- License
- NVIDIA Open Model Agreement
- Language
- English only
Overview
What Nemotron 3 Nano Omni is
Nemotron 3 Nano Omni is NVIDIA's multimodal perception-and-reasoning model for developers building document, audio, video, and computer-use agents. It accepts video, audio, images, and text in one context, then produces text, JSON, tool calls, or timestamped transcription output.
The model uses a 31-billion-parameter hybrid Mamba2-Transformer mixture-of-experts architecture while activating roughly 3 billion parameters per token. NVIDIA publishes a maximum 256K-token context and BF16, FP8, and NVFP4 checkpoints under the NVIDIA Open Model Agreement.
Its strongest fit is as the eyes and ears of a larger agent system: extracting information from complex documents, interpreting a screen, connecting speech to video, or summarizing mixed media. It is not a consumer chatbot or a media generator, and self-hosting still requires capable NVIDIA hardware and production engineering.
Use cases
Who Nemotron 3 Nano Omni is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Audio-video understanding
Connect what was said with what appeared on screen for meeting, training, media, and monitoring workflows.
Computer-use perception
Interpret graphical interfaces and screen state as the perception layer inside a broader agent.
Speech transcription
Transcribe supported audio with word-level timestamps while keeping surrounding text or visual context available.
Controlled enterprise deployment
Use downloadable checkpoints when a team needs to operate a multimodal model within its own infrastructure.
Capabilities
Core Nemotron 3 Nano Omni features
Unified multimodal input
Processes video, audio, images, and text in one model instead of requiring a separate perception model for each modality.
Long multimodal context
Supports up to 256K tokens for long documents and mixed-media reasoning.
Mixture-of-experts efficiency
The 31B architecture activates about 3B parameters per token to reduce inference work relative to a dense model of similar total size.
Reasoning and instruct modes
Reasoning is enabled by default, while a non-thinking instruct mode is available for shorter general tasks and transcription.
Agent-ready output
Supports JSON output, tool calling, and text responses for use inside larger automated workflows.
Multiple deployment precisions
NVIDIA publishes BF16, FP8, and NVFP4 checkpoints for different memory, accuracy, and throughput tradeoffs.
Process
How the Nemotron 3 Nano Omni workflow works
Step 1
Choose the workload
Define whether the system needs document OCR, audio-video analysis, transcription, GUI perception, or a combination.
Step 2
Validate input boundaries
Plan around the model card's supported formats, English-only scope, two-minute video guidance, one-hour audio limit, and 256K context.
Step 3
Prototype through an endpoint
Test prompts, schemas, latency, and quality with NVIDIA's prototype API or another supported hosted provider.
Step 4
Select precision and runtime
Choose BF16, FP8, or NVFP4 and a supported runtime such as vLLM, TensorRT-LLM, SGLang, llama.cpp, or Ollama.
Step 5
Benchmark on real data
Measure extraction accuracy, transcription errors, hallucinations, latency, and cost using representative production inputs.
Step 6
Add safeguards and monitoring
Enforce input rights, protect sensitive media, validate tool calls, and monitor output quality before production use.
Cost
Nemotron 3 Nano Omni pricing and free plan
The downloadable model weights do not carry a separate per-token fee, but use is governed by NVIDIA's Open Model Agreement. NVIDIA offers a free hosted endpoint for prototyping; production endpoint, partner, GPU, storage, and operations costs depend on the deployment.
Downloadable weights
No model usage fee listed
Download BF16, FP8, or NVFP4 checkpoints and run them on infrastructure you control.
- Governed by the NVIDIA Open Model Agreement
- Commercial use is allowed under the model terms
- Hardware, hosting, energy, and engineering costs are separate
NVIDIA prototype API
Free endpoint
A hosted NVIDIA NIM endpoint is available for development and prototyping.
- Requires an NVIDIA API key
- Prototype limits and API trial terms apply
- Not a substitute for production capacity planning
Production deployment
Varies
Deploy through a partner endpoint, NVIDIA NIM, or self-managed GPU infrastructure.
- No universal production per-token price is published on the model page
- Cost depends on provider, precision, hardware, throughput, and utilization
- Enterprise support or software licensing may add cost
Pricing checked . Check current pricing at the source ↗
Assessment
Nemotron 3 Nano Omni strengths and limitations
Where it stands out
- One model handles text, images, audio, and video inputs
- Open checkpoints provide more deployment control than a closed API-only model
- Roughly 3B active parameters per token can improve serving efficiency
- 256K context supports long documents and mixed-media sessions
- Supports structured output, tool calling, and word-level transcription timestamps
- NVIDIA publishes several precision options and extensive deployment guidance
What to consider
- The official model card lists English as the only supported language
- Output is text; the model does not generate images, audio, or video
- Official guidance limits video inputs to about two minutes and audio inputs to one hour
- BF16 requires an 80GB-class GPU, while even NVFP4 lists a 32GB RTX 5090 as the minimum desktop GPU
- Benchmark leadership claims come from selected tests and do not guarantee performance on a specific production workload
- Open weights do not remove the need to review license terms, input rights, privacy, bias, and safety
- Generated interpretations and tool calls still require application-level validation and guardrails
Compare
Nemotron 3 Nano Omni alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Consumer
Qwen3.5-Omni
Choose Qwen3.5-Omni when multilingual omni-modal coverage is more important than NVIDIA's deployment stack.
Explore Qwen3.5-Omni →Consumer
Gemini 3
Consider Gemini 3 when a managed frontier model is preferable to operating open checkpoints.
Explore Gemini 3 →Coding
Molmo by Ai2
Evaluate Molmo for an alternative open multimodal model focused on visual understanding.
Explore Molmo by Ai2 →Agents
Gemini Computer Use
Use Gemini 2.5 Computer Use for a specialized managed model aimed at browser and interface interaction.
Explore Gemini Computer Use →Questions
Nemotron 3 Nano Omni FAQs
What is Nemotron 3 Nano Omni?
It is NVIDIA's open-weight multimodal reasoning model for understanding text, images, audio, video, documents, and graphical interfaces.
Is Nemotron 3 Nano Omni open source?
NVIDIA releases downloadable model weights and calls the model open, but use is governed by the NVIDIA Open Model Agreement. Review that agreement rather than assuming a standard permissive open-source license.
Can Nemotron 3 Nano Omni be used commercially?
Yes. NVIDIA's official model card says the model is available for commercial use under the governing agreement.
What hardware does it need?
NVIDIA lists one H100 80GB as the BF16 minimum, one L40S 48GB for FP8, and one RTX 5090 32GB for NVFP4. Recommended and production requirements vary with concurrency and workload.
Does it generate audio, images, or video?
No. It accepts those modalities as input but produces text-based output, including JSON, tool calls, and transcription timestamps.
How long can its inputs be?
The model card lists a 256K-token maximum context, video up to two minutes under its sampling guidance, and audio files up to one hour.
Is there a free API?
NVIDIA lists a free hosted endpoint for prototyping. Trial terms and limits apply, while production hosting and infrastructure have separate costs.
Bottom line
Our Nemotron 3 Nano Omni verdict
Nemotron 3 Nano Omni is compelling for teams that need one deployable perception model across documents, screens, audio, and video. The open checkpoints, structured outputs, 256K context, and multiple precision formats make it unusually flexible for enterprise agent architecture. Its English-only scope, short-video guidance, substantial GPU requirements, and text-only output mean teams should benchmark it against their exact workload before standardizing on it.
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