Using Nemotron 3 Nano Omni on OpenRouter
Implementation guide · Nemotron 3 · NVIDIA AI
OpenRouter exposes Nemotron 3 Nano Omni through model ID nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the OpenRouter SDK or REST API to call
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free— see the documentation for request format. - 3
Code Examples
Pricing on OpenRouter
| Type | Price (per 1M) |
|---|---|
| Input tokens | Free |
| Output tokens | Free |
Capabilities
About Nemotron 3 Nano Omni
NVIDIA Nemotron 3 Nano Omni is an open-weight 30B hybrid MoE multimodal model (3B active parameters) that natively accepts text, image, video, and audio inputs in a single inference loop. Built on a hybrid Mamba-Transformer architecture with 23 Mamba-2 layers, 23 MoE layers (128 experts, 6+1 active), and 6 GQA layers, plus Conv3D video layers and Efficient Video Sampling (EVS). Delivers up to 9x higher throughput than comparable omni models. Supports a 256K context window and a 16,384 reasoning budget. Open weights, datasets, and training recipes released under a permissive license.