NVIDIA model product
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.
Updated Aug 12, 2026. Default version: Nemotron Nano 9B v2
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Nemotron Nano 9B v2.
| BFCL_v3_MultiTurn | 66.9% | 02 | 2 | 0.0% | C | |
| MATH-500 | 97.8% | 05 | 32 | 87.1% | C | |
| IFEval | 90.3% | 14 | 65 | 79.7% | C | |
| LiveCodeBench | 71.1% | 19 | 73 | 75.0% | C | |
| AIME 2025 | 72.1% | 85 | 114 | 25.7% | C | |
| GPQA | 64.0% | 154 | 234 | 34.3% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for Nemotron Nano 9B v2. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Merge Gateway | nvidia/nemotron-nano-9b-v2 | global | $0.06 | $0.23 | 128K | |
| Vercel AI Gateway | nvidia/nemotron-nano-9b-v2 | global | $0.06 | $0.23 | 131.1K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Nemotron Nano 9B v2 | 32.4 | 8.9B | 131.1K | 131.1K | Yes | NVIDIA Open Model License Agreement |
Key information about Nemotron Nano 9B and its available data.
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 tasks by first generating a reasoning trace and then concluding with a final response.
The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning.
Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
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Common questions about Nemotron Nano 9B.
Nemotron Nano 9B's default version was released on Aug 18, 2025.
No official standard PAYG price is currently available for Nemotron Nano 9B. The lowest tracked third-party offer starts at $0.06 input and $0.23 output via Merge Gateway.
Nemotron Nano 9B was created by NVIDIA.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under NVIDIA Open Model License Agreement .
2 provider offerings are linked to the default version.
Nearby ranked alternatives include Mistral Small 4, LongCat Flash Lite, Qwen3.5 4B.