Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtNemotron 3 Super
by NVIDIAReleased 11 March 2026
Nemotron 3 Super reads text and writes text back, thinks before it answers and can use the tools you connect. It is built for setups where several assistants work together, drawing conclusions across many documents and planning over many steps, and it was released openly with its data and recipes.
What it costs
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 24,96 DA | 133,13 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- After each one
- The exact charge shows on the request.
Where your request runs
Three companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:20 · speed over the last 30 minutes · uptime over 3 days.
See it in action
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabCall it in code
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
resp = client.chat.completions.create(
model="nvidia/nemotron-3-super-120b-a12b",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobsReasoning
Let it think before answering — and see the thinking.
reasoningreasoning_effortinclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Nemotron 3 Super
How much does Nemotron 3 Super cost in dinars?
About 0,092 DA per message. ↑ 24,96 DA · ↓ 133,13 DA per 1M tokens.
Is Nemotron 3 Super free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is Nemotron 3 Super best for?
Nemotron 3 Super reads text and writes text back, thinks before it answers and can use the tools you connect. It is built for setups where several assistants work together, drawing conclusions across many documents and planning over many steps, and it was released openly with its data and recipes.
Nemotron 3 Super or Nemotron 3 Ultra?
Nemotron 3 Ultra costs 0,51 DA more for the same message.
How do I pay for Nemotron 3 Super without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Nemotron 3 Super included, is paid from that balance. No foreign card, no conversion.
Does Nemotron 3 Super work in Arabic, French or Darja?
NVIDIA lists English, French, German, Italian, Japanese, Spanish and Chinese. Arabic and Darja are not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 1M tokens in one request, about 1 000 pages. It writes up to 12 000 words at once.
Is Nemotron 3 Super open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Nemotron 3 Super, and when was it released?
NVIDIA. Released 11 March 2026. It knows the world up to June 2025.
Other NVIDIA models, priced in dinars
See all NVIDIA modelsNemotron 3.5 ASR Streaming Multilingual 0.6B takes audio and writes out what is said, built to respond quickly in over 40 languages. It suits live work such as real-time captions and voice assistants, or pipelines that transcribe several languages, where text should appear while the speaker is still talking.
This model is designed to listen to audio recordings and convert the spoken words into written text. It excels at the task of accurately transcribing spoken content from various sources. A key feature is its ability to handle speech in 40 different languages. This model is strictly for speech recognition and cannot perform other general language or visual tasks.
NVIDIA's 600M multilingual speech recogniser trained on over 670,000 hours, detecting every official EU language by itself and returning punctuated text with segment timestamps at a 6.34% average word error rate
Nemotron 3.5 Super VL reads text, pictures, documents, screenshots of app screens and video, and writes text back, taking in about a thousand pages at once. It is made for assistants that look at a screen or a document, then think and use the tools you connect. It thinks unless you switch that off, and you can limit how much effort it spends thinking. Nemotron 3 Super is the text-only model of the same size.
