Context Window
—
Input Price/1M
$0.20
Output Price/1M
$0.60
Parameters
—
Speed
273 tok/s
Latency (TTFT)
627ms
NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 35.0 | 100.0 | Artificial Analysis official API |
| SciCode | 18.0 | 100.0 | — |
| AA Coding Index | 5.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 65.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 17.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 27.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 26.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 10.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 75.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 44.0 | 100.0 | Artificial Analysis official API |
| IFBench | 26.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 19.0 | 100.0 | — |
NVIDIA Nemotron Nano 12B v2 VL (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.
NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) is usage-based, priced at $0.2/1M input tokens and $0.6/1M 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 12B v2 VL (Non-reasoning) was evaluated on 14 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 Nano 12B v2 VL (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, NVIDIA Nemotron Nano 12B v2 VL (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 Nano 12B v2 VL (Non-reasoning) is an AI model developed by NVIDIA. It is a text model.
NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) costs $0.2/1M input tokens and $0.6/1M 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 12B v2 VL (Non-reasoning) scored: Terminal-Bench Hard: 0/100, LiveCodeBench: 35/100, SciCode: 18/100. See the full table above for a detailed comparison.
No, NVIDIA Nemotron Nano 12B v2 VL (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 Nano 12B v2 VL (Non-reasoning) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →