Context Window
131K tokens
Input Price/1M
$0.05
Output Price/1M
$0.20
Parameters
—
Speed
172 tok/s
Latency (TTFT)
1.7s
NVIDIA: Nemotron Nano 9B V2 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 70.1 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 7.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 62.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 62.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 8.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 73.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 55.7 | 100.0 | Artificial Analysis official API |
NVIDIA: Nemotron Nano 9B V2 is an AI model developed by NVIDIA, classified as a large language model (LLM). 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.
NVIDIA: Nemotron Nano 9B V2 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 Nano 9B V2 was evaluated on 7 different benchmarks, covering categories like Coding, Math, overall, Reasoning. 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 Nano 9B V2 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, NVIDIA: Nemotron Nano 9B V2 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 Nano 9B V2 is an AI model developed by NVIDIA. It is a language model (LLM).
NVIDIA: Nemotron Nano 9B V2 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 Nano 9B V2 scored: LiveCodeBench: 70.1/100, AA Coding Index: 7.5/100, AA Math Index: 62.3/100. See the full table above for a detailed comparison.
No, NVIDIA: Nemotron Nano 9B V2 is a proprietary model from NVIDIA. It is available via cloud API. For open source alternatives, check our open source model ranking.
NVIDIA: Nemotron Nano 9B V2 excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 10, 2026 • View methodology →