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NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...
Context Window
262K tokens
Input Price/1M
$0.05
Output Price/1M
$0.20
Parameters
—
Speed
91 tok/s
Latency (TTFT)
252ms
Max Output
228K tokens
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 12.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 36.0 | 100.0 | — |
| SciCode | 23.0 | 100.0 | — |
| AA Coding Index | 15.8 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 58.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 7.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 13.3 | 100.0 | — |
| AIME 2025 | 13.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 13.2 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 40.0 | 100.0 | — |
| IFBench | 37.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 25.0 | 100.0 | — |
NVIDIA Nemotron 3 Nano 30B A3B (Non-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. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) is usage-based, priced at $0.05/1M input tokens and $0.2/1M 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.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, 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.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, NVIDIA Nemotron 3 Nano 30B A3B (Non-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.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) is an AI model developed by NVIDIA. It is a text model.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) costs $0.05/1M input tokens and $0.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) scored: Terminal-Bench Hard: 12/100, LiveCodeBench: 36/100, SciCode: 23/100. See the full table above for a detailed comparison.
No, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) is a proprietary model from NVIDIA. It is available via cloud API. For open source alternatives, check our open source model ranking.
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →