Nemotron 3 Nano Omni by NVIDIA — 256K Context
31B-parameter (3B active) Mamba2-Transformer hybrid MoE multimodal model that unifies video, audio, image, and text understanding. Supports enterprise-grade Q&A, summarization, transcription, OCR, document intelligence, GUI automation, and agentic workflows. Reasoning is on by default with toggle via enable_thinking. Trained on 354M+ samples (~717B tokens) across 1,395 datasets. Available in BF16, FP8, and NVFP4 precisions. Commercial use permitted under NVIDIA Open Model Agreement.
At a glance
Modalities
Context window
256,000
Pricing
input / output per 1M
Reasoning
Capabilities
Streaming
Real-time token-by-token response streaming
Function calling
Connect the model to external tools and systems
Structured outputs
Return responses in JSON schema format
Fine-tuning
Custom model training on your data
Reasoning
Extended thinking before responding
Computer use
Control and interact with computer interfaces
Benchmarks
| CVBENCH 2D | 83.95 |
| OCRBENCH V2 EN | 67.04 |
| OSWORLD | 47.4 |
| CHARXIV REASONING | 63.6 |
| MMLONGBENCH DOC | 57.5 |
| MATHVISTA MINI | 82.8 |
| OCR REASONING | 54.14 |
| VIDEO MME | 72.2 |
| WORLD SENSE | 55.4 |
| DAILY OMNI | 74.52 |
| VOICE INTERACTION | 89.39 |
Details
| Release date | 2026-04-28 |
| Model ID | nemotron-3-nano-omni |
| Provider | NVIDIA |
What You Need to Know About Nemotron 3 Nano Omni
Complete Overview of Nemotron 3 Nano Omni by NVIDIA
Get detailed information about Nemotron 3 Nano Omni, including its context window of 256000 tokens, pricing per million tokens, supported input and output modalities, and benchmark scores. This model from NVIDIA offers specific capabilities for natural language processing, code generation, and complex reasoning tasks that set it apart from alternatives.
Pricing and Cost Analysis for Nemotron 3 Nano Omni
Compare input and output token pricing for Nemotron 3 Nano Omni against other models in its class. Understanding LLM pricing is essential for budgeting your AI applications at scale. We break down the cost per million tokens for both input and output so you can estimate the total cost of your workloads and compare value across providers.
Benchmarks and Performance Metrics for Nemotron 3 Nano Omni
Review benchmark performance data for Nemotron 3 Nano Omni across key evaluation metrics. Compare its reasoning, coding, and language understanding capabilities against competing models to determine if it is the right fit for your specific requirements, whether that involves complex analysis, creative generation, or efficient inference at scale.