NVIDIA Nemotron 3 Nano Omni is now available at launch on fal. A single multimodal model that can see, hear, and reason across text, images, video, and audio, all within one unified reasoning loop. Built to power multimodal sub-agents with leading efficiency and accuracy.
We're excited to announce that NVIDIA Nemotron™︎ 3 Nano Omni is now available at launch on fal.
Nemotron 3 Nano Omni introduces a new class of multimodal reasoning. A single model that can see, hear, and reason across text, images, video, and audio, all within one unified reasoning loop.
Built to power multimodal sub-agents with leading efficiency and accuracy, Nemotron 3 Nano Omni replaces fragmented multi-model perception stacks with a single production-ready multimodal model designed for real-world agent systems.
A unified model for multimodal agents
Modern AI agents operate across multiple modalities. They need to process:
- Screens and GUIs
- Documents and structured data
- Audio and speech
- Video and temporal context
Most systems stitch together separate models for each modality, introducing latency, complexity, and cost.
Nemotron 3 Nano Omni changes that. Instead of orchestrating multiple models, it provides a single multimodal perception and reasoning layer, enabling agents to move faster from perception → reasoning → action.
It acts as the "eyes and ears" of agent systems, continuously maintaining context across modalities.
Key strengths
1. Faster, more efficient agent workflows
By unifying multimodal perception into a single model, NVIDIA Nemotron 3 Nano Omni:
- Reduces inference hops and orchestration overhead
- Improves system efficiency and scalability
- Enables higher throughput at the same interactivity
This translates into lower cost and better performance for production workloads, without sacrificing responsiveness.
2. Smarter, more accurate multimodal responses
Nemotron 3 Nano Omni is optimized for continuous multimodal context and reasoning across video timelines, multi-document inputs, and ongoing interactions.
It is post-trained using multi-environment reinforcement learning through NVIDIA NeMo RL and NeMo Gym, spanning text, image, audio, and video tasks.
This improves instruction following and convergence to correct answers, reinforcing focus on accuracy per unit of compute, not just raw performance.
With up to 256K context length, it supports sustained reasoning without brittle chunking strategies.
falMODEL APIs
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3. Production-ready multimodal AI
NVIDIA Nemotron 3 Nano Omni supports:
- Input: text, image, video, audio
- Output: text
Its unified architecture enables coherent reasoning across mixed inputs such as screenshots + transcripts + video—within a single model loop.
With long-context support, it is designed for sustained reasoning in real-world agent systems, without brittle pipeline design.
What developers can build
NVIDIA Nemotron 3 Nano Omni unlocks a new class of multimodal agents:
Computer use agents
Understand UI state from screen recordings, interpret instructions, and execute workflows.
Document intelligence systems
Reason across PDFs, charts, tables, and screenshots in a single pass.
Audio + video agents
Process conversations, recordings, and visual context together for customer support, monitoring, and research.
Recently Added
Try it on fal
You can start building with Nemotron 3 Nano Omni on fal today across four endpoints:
- Text: text-only reasoning
- Vision: image + prompt → text
- Audio: audio + prompt → text
- Video: video + prompt → text
Stay tuned to our X, blog, or Reddit for the latest updates on generative media and new model releases.
