NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
Context
1Mtokens
About 1,498 pages of text at once
Max output
262Ktokens
About 374 pages in one answer
Intelligence
—
No score published for this model.
Output speed
76tokens/s
A 500-word answer in about 9.2 s
From public market statistics for this model
First token
1.3s
Reasoning models start later
From public market statistics for this model
Health, 30 days
99.87%
24 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 824,409 | IRR / 1M tokens |
|---|---|---|
| Output | 6,595,276 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 6,595,276 | IRR / 1M tokens |
| Cache read | 412,205 | IRR / 1M tokens |
With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.
What would this model cost you a month?
Monthly cost
192.91MIRR
6.43M IRR a day, 3,215 IRR each request
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health99.87%
Time to first token1.95 s
Output speed59 tokens/s
Place in the market
By usage across the global model market.
Daily rank
Share of the day’s tokens
Capabilities
- Input
- Text
- Output
- Text
Parameters it accepts
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_pOther benchmarks
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1nvidia/nemotron-3-super-120b-a12b# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="nvidia/nemotron-3-super-120b-a12b", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
nvidia/nemotron-3-super-120b-a12b- Maker
- NVIDIA
- Tokenizer
- Other
- Released
- Mar 11, 2026
- Added to IranRouter
- Aug 7, 2026
- Context
- 1,048,576 tokens
- Max output
- 262,144 tokens
Default parameters
top_p=0.95temperature=1Scores by Artificial Analysis, as of Oct 31, 2026