Nemotron Nano 9B · NVIDIA
Nemotron 3 Super from NVIDIA. 120B parameters with MoE architecture (12B active). Designed for deep reasoning tasks.
About Nemotron Nano 9B
Nemotron 3 Super from NVIDIA. 120B parameters with MoE architecture (12B active). Designed for deep reasoning tasks.
Where it shines: Deep reasoning · Efficient with MoE.
How to use Nemotron Nano 9B
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Nemotron Nano 9B?
Nemotron Nano 9B is one of the free models in the catalog, each use discounts 10 tokens from your pool, but open models like Nemotron Nano 9B don’t cost us, so the rate-limit is generous. A free account comes with 500 initial tokens and 25 more every day — you usually don’t get to touch the card.
Is there a limit on the use of Nemotron Nano 9B?
There is no fixed monthly fee for Nemotron Nano 9B on the free account — the actual limit is the rate per minute/hour, not per month. Anonymous are limited by IP; with account you can do much more volume.If you reach 500+25 tokens and need more, a Pro plan at $9/month covers it.
What makes Nemotron Nano 9B special?
NVIDIA fine-tunes its models for fast inference on its own optimized hardware — good at technical questions and reasoning, its specific strengths are: efficient, fast and nvidia-optimized reasoning.
How fast does Nemotron Nano 9B respond?
Nemotron Nano 9B is one of the fastest models in the catalog: typical responses in 2-5 seconds, the actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Nemotron Nano 9B in ia.gratis?
You can use Nemotron Nano 9B from /chat/ by selecting Nemotron Nano 9B in the picker, or via the REST API with `model=nemotron-3` in the body of the POST. Quick summary: Optimized by NVIDIA for reasoning.The internal model identifier is `nemotron-3` — useful when integrating via API.