Nemotron 3 Nano Omni
NVIDIA's Nemotron 3 Nano Omni: a 30B MoE multimodal reasoning model with a 256K context. Unifies text, image, audio, and video with open weights.
Model Overview
Capabilities, design details, and architectural traits
Nemotron 3 Nano Omni - NVIDIA omnimodal reasoning model
Nemotron 3 Nano Omni is an NVIDIA open multimodal reasoning model that processes text, images, audio, and video together in a single inference pass. The model is presented as a Mixture-of-Experts (MoE) family member that activates a smaller subset of parameters per forward pass and is released with weights and training recipes.
| Trait | Model-specific fact |
|---|---|
| Architecture family | Hybrid NemotronH MoE combining Mamba-transformer backbone with specialized encoders for vision and audio (RADIO vision tower and Parakeet sound encoder) |
| Multimodal scope | Natively accepts and reasons over text, images, audio and video within a shared multimodal context |
| Context length | Supports very long context (documented up to 256K tokens) |
| Deployment & openness | Released with open weights, training recipes and data (where redistributable); supported for conversion and standard fine-tuning (SFT, LoRA) |
| Production focus | Designed for agentic and production multimodal workflows, with engineered inference paths and partner-hosted endpoints |
Defining technical idea
Nemotron 3 Nano Omni combines a hybrid MoE language backbone with modality-specific encoders so perception and reasoning run inside a single, unified model rather than chaining separate perception and reasoning models. This integration is the model's central differentiator.
Notable operational notes
The release emphasizes open assets (weights and recipes) and multiple deployment paths including cloud partners and on-prem containers, and documents quantization and inference workflows for production use.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | NVIDIA | Anthropic | Anthropic |
| Release Date | April 29, 2026 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | - | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 256K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.30 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.90 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textaudioimagevideo | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 10.3 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 13.8 | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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