Requesty
Sign in

identity

open weights
NVIDIA logo

nemotron-3-super-120b-a12bNVIDIA

from /1M infreenvidia
context1.0M66K out
best ttft2.55snvidia
endpoints11 region
endpoints
1
regions
1
best tok/s
89
api
chat
released
March 2026

capabilities 2/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

1 / 1 region
Providers serving nemotron-3-super-120b-a12b, with pricing and measured performance. Best value in each column is coloured.
#flags
1NVIDIAGlobal1.0Mfreefreefree2.55s89.0-
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12
median
-2684ms16.76s36.19s07-0608-0309-077.22s1.25s
hover the plot for weekly values
time to first token per provider: current value, window low and high, and change across the window
providernowlowhighchange
NVIDIA2.55s1.74s7.22s+258%
Nebius AI3.01s556ms32.95s-67%

median wait before the first token lands. this is the number a user feels, and it moves with provider load through the day.

Lines are steps: each sample is one week of traffic held flat, not a slide from the week before. Click a name in the key to drop it from the plot. Measured through Sep 12.

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond80.0
τ²-Bench67.8
Coding Index37.7
SciCode36.2
Terminal-Bench Hard28.8
Humanity's Last Exam20.8
Intelligence Index13.6
7 evalsmean40.7

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-03-11.

call it

model=
nemotron-3-super-120b-a12b

requesty routes this id across every provider serving nemotron-3-super-120b-a12b, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="nemotron-3-super-120b-a12b",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid Mamba-Transformer MoE model activating just 12B parameters, with multi-token prediction for high throughput. 1M token context for long-horizon agent coherence, cross-document reasoning, and multi-step planning. Strong on AIME 2025, TerminalBench, and SWE-Bench Verified. Part of the NVIDIA Nemotron family.

questions 7

Which providers serve nemotron-3-super-120b-a12b?
nemotron-3-super-120b-a12b is available from 1 provider through Requesty: NVIDIA. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does nemotron-3-super-120b-a12b cost?
Pricing starts at free per million input tokens and free per million output tokens on the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
Is nemotron-3-super-120b-a12b open weights?
Yes. nemotron-3-super-120b-a12b is an open-weights model from NVIDIA, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of nemotron-3-super-120b-a12b?
nemotron-3-super-120b-a12b supports up to 1.0M tokens of context, with up to 66K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
Which provider is fastest for nemotron-3-super-120b-a12b?
In recent production traffic through Requesty, NVIDIA had the lowest median time to first token (2.55s) for nemotron-3-super-120b-a12b. Latency shifts over time, so Requesty's latency-based routing picks the fastest healthy provider per request automatically.
How do I use nemotron-3-super-120b-a12b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nemotron-3-super-120b-a12b" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call nemotron-3-super-120b-a12b by its managed id or a provider id?
Use the managed id, "nemotron-3-super-120b-a12b". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "nvidia/nemotron-3-super-120b-a12b" only when you need one specific deployment and want no failover.

more from nvidia 6

Other NVIDIA models
modelcontextfrom /Mproviders
nemotron-lightning-3.5-30b-a3b262K$0.051
nemotron-3.5-lightning-30b-a3b1.0Mfree1
nvidia-nemotron-3-ultra262K$0.371
nemotron-3.5-content-safety131Kfree1
nemotron-3-ultra-nvfp4262K$0.601
nemotron-3-nano-omni-30b-a3b-reasoning131Kfree1

route nemotron-3-super-120b-a12b through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

nemotron-3-super-120b-a12b1 provider1 endpointsfrom free /1M inctx 1.0Mttft 2.55supdated Sep 12