Nemotron 3 Nano Omni 30B A3B Reasoning

Nemotron 3 Nano Omni 30B A3B Reasoning

NVIDIAtext

API Available

Specifications

Context Window

Input Price/1M

$0.07

Output Price/1M

$0.30

Parameters

Speed

301 tok/s

Latency (TTFT)

573ms

Benchmarks

Nemotron 3 Nano Omni 30B A3B Reasoning results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard8.0100.0

Coding

BenchmarkScoreMaximumMethodology
SciCode28.0100.0
AA Coding Index14.8100.0Artificial Analysis official API

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR36.0100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index21.4100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
IFBench63.0100.0
GPQA Diamond47.0100.0Artificial Analysis official API
HLE5.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench45.0100.0

Information

Release date
April 29, 2026
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Nemotron 3 Nano Omni 30B A3B Reasoning

What is Nemotron 3 Nano Omni 30B A3B Reasoning?

Nemotron 3 Nano Omni 30B A3B Reasoning is an AI model developed by NVIDIA, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via NVIDIA's cloud API.

Pricing & Costs in 2026

Nemotron 3 Nano Omni 30B A3B Reasoning is usage-based, priced at $0.075/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

Nemotron 3 Nano Omni 30B A3B Reasoning was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Nemotron 3 Nano Omni 30B A3B Reasoning specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Nemotron 3 Nano Omni 30B A3B Reasoning competes directly with similarly capable models. NVIDIA competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Nemotron 3 Nano Omni 30B A3B Reasoning?

Nemotron 3 Nano Omni 30B A3B Reasoning is an AI model developed by NVIDIA. It is a text model.

How much does Nemotron 3 Nano Omni 30B A3B Reasoning cost?

Nemotron 3 Nano Omni 30B A3B Reasoning costs $0.075/1M input tokens and $0.3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Nemotron 3 Nano Omni 30B A3B Reasoning compare with other models?

In available benchmarks, Nemotron 3 Nano Omni 30B A3B Reasoning scored: Terminal-Bench Hard: 8/100, SciCode: 28/100, AA Coding Index: 14.8/100. See the full table above for a detailed comparison.

Is Nemotron 3 Nano Omni 30B A3B Reasoning open source?

No, Nemotron 3 Nano Omni 30B A3B Reasoning is a proprietary model from NVIDIA. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Nemotron 3 Nano Omni 30B A3B Reasoning best for?

Nemotron 3 Nano Omni 30B A3B Reasoning excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →