NVIDIA: Nemotron Nano 9B V2

NVIDIA: Nemotron Nano 9B V2

NVIDIALLM

NVIDIA: Nemotron Nano 9B V2 by NVIDIA

API Available

Specifications

Context Window

131K tokens

Input Price/1M

$0.05

Output Price/1M

$0.20

Parameters

Speed

172 tok/s

Latency (TTFT)

1.7s

Benchmarks

NVIDIA: Nemotron Nano 9B V2 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench70.1100.0Artificial Analysis official API
AA Coding Index7.5100.0Artificial Analysis official API

Math

BenchmarkScoreMaximumMethodology
AA Math Index62.3100.0Artificial Analysis official API
AIME 202562.3100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index8.7100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro73.9100.0Artificial Analysis official API
GPQA Diamond55.7100.0Artificial Analysis official API

Information

Release date
August 18, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: NVIDIA: Nemotron Nano 9B V2

What is NVIDIA: Nemotron Nano 9B V2?

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.

Pricing & Costs in 2026

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.

Benchmarks & Performance

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.

Recommended Use Cases

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.

Comparison with Alternatives

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.

Frequently Asked Questions

What is NVIDIA: Nemotron Nano 9B V2?

NVIDIA: Nemotron Nano 9B V2 is an AI model developed by NVIDIA. It is a language model (LLM).

How much does NVIDIA: Nemotron Nano 9B V2 cost?

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.

How does NVIDIA: Nemotron Nano 9B V2 compare with other models?

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.

Is NVIDIA: Nemotron Nano 9B V2 open source?

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.

What is NVIDIA: Nemotron Nano 9B V2 best for?

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 →