Nemotron 3 Nano 30B A3B
VerifiedNVIDIA LLM built for long-context text understanding at scale.
About Nemotron 3 Nano 30B A3B
The model belongs to NVIDIA's Nemotron family and emphasizes efficiency within a substantial context capacity. Its 262144-token window allows processing of lengthy documents or multi-turn conversations without truncation. The architecture stays proprietary, reflecting NVIDIA's focus on controlled deployment.
Strengths center on coherent handling of very long text sequences while maintaining response quality. As a closed model it integrates with NVIDIA's optimized inference stack for production environments. This design suits workloads where data privacy and performance consistency matter most.
Common applications include document summarization, code analysis over large repositories, and knowledge retrieval from extensive corpora. Teams deploy it through NVIDIA platforms to build specialized assistants or research tools. Its text modality keeps usage focused on language-centric tasks.
Capabilities
How Nemotron 3 Nano 30B A3B compares
Nemotron 3 Nano 30B A3B (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Nemotron 3 Nano 30B A3B ranks #12 of 87
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Context Document Analysis
The 262144-token context window enables the model to ingest and reason over entire lengthy reports, legal contracts, or research papers without chunking.
Enterprise Knowledge Retrieval
NVIDIA's Nemotron architecture supports accurate extraction and synthesis of information from large internal knowledge bases in corporate environments.
Efficient Inference Deployment
The Nano 30B design balances capability and resource use, making it practical for on-premises or edge deployments where full-scale models are impractical.
Strengths & limitations
Strengths
- +Very large context window support
- +Efficient design for a 30B-scale model
- +Strong general-purpose text handling
- +NVIDIA-optimized training pipeline
Limitations
- –Text-only modality
- –No native multimodal support
- –High memory demands at maximum context length
Cost calculator
Estimate what Nemotron 3 Nano 30B A3B would cost for your usage.
Based on Nemotron 3 Nano 30B A3B's $0.05/1M input · $0.20/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "nvidia/nemotron-3-nano-30b-a3b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: nvidia/nemotron-3-nano-30b-a3b
Editor's verdict
Nemotron 3 Nano 30B A3B is NVIDIA's proprietary language models with a 262K-token context window.
At $0.20 per 1M output tokens, it is very cost-efficient for its class.
It is available through NVIDIA's API and aggregators like OpenRouter.
Best suited to very large context window support and efficient design for a 30b-scale model.
Frequently asked questions
Pricing details are not specified in the available model information.
User reviews
Real, verified reviews from the community shape this model's rating.
Loading reviews…
Other Nemotron models
Sibling versions in the Nemotron family from NVIDIA.
Similar models
Other language models worth comparing.