NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
NVIDIA • text
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...
Specifications
Context Window
131K tokens
Input Price/1M
$0.05
Output Price/1M
$0.20
Parameters
—
Speed
139 tok/s
Latency (TTFT)
700ms
Max Output
16K tokens
Benchmarks
NVIDIA Nemotron Nano 9B V2 (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 1.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 70.0 | 100.0 | — |
| SciCode | 21.0 | 100.0 | — |
| AA Coding Index | 7.5 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 74.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 23.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 62.3 | 100.0 | — |
| AIME 2025 | 62.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 13.2 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 56.0 | 100.0 | — |
| IFBench | 27.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 23.0 | 100.0 | — |
Information
- Release date
- August 18, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
What is NVIDIA Nemotron Nano 9B V2 (Non-reasoning)?
NVIDIA Nemotron Nano 9B V2 (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 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
NVIDIA Nemotron Nano 9B V2 (Non-reasoning) is usage-based, priced at $0.05/1M input tokens and $0.195/1M 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
NVIDIA Nemotron Nano 9B V2 (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.
Recommended Use Cases
NVIDIA Nemotron Nano 9B V2 (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, NVIDIA Nemotron Nano 9B V2 (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.
Frequently Asked Questions
What is NVIDIA Nemotron Nano 9B V2 (Non-reasoning)?
NVIDIA Nemotron Nano 9B V2 (Non-reasoning) is an AI model developed by NVIDIA. It is a text model.
How much does NVIDIA Nemotron Nano 9B V2 (Non-reasoning) cost?
NVIDIA Nemotron Nano 9B V2 (Non-reasoning) costs $0.05/1M input tokens and $0.195/1M 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 NVIDIA Nemotron Nano 9B V2 (Non-reasoning) compare with other models?
In available benchmarks, NVIDIA Nemotron Nano 9B V2 (Non-reasoning) scored: Terminal-Bench Hard: 1/100, LiveCodeBench: 70/100, SciCode: 21/100. See the full table above for a detailed comparison.
Is NVIDIA Nemotron Nano 9B V2 (Non-reasoning) open source?
No, NVIDIA Nemotron Nano 9B V2 (Non-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 NVIDIA Nemotron Nano 9B V2 (Non-reasoning) best for?
NVIDIA Nemotron Nano 9B V2 (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 →