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nemotron-3-super

nvidia·nvidia/nemotron-3-super·GA·Open weights·nemotron series
Nemotron middle tier for collaborative agents and high-volume reasoning workloads

nemotron-3-super by nvidia is offered by 2 providers on this page. Public prices are shown for 1 of them. Its official list price is $0.20 per 1M input tokens and $0.80 per 1M output tokens.

The context window is 262,144 tokens, with an output limit of 262,144 tokens. It supports reasoning and tool use. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Its training knowledge cuts off at 2024-04.

Specs & pricing

Input / output per 1M tokens
Official price·Nvidia
$0.20 / $0.80
Blended $0.35 · Cache read —
Lowest paid·NvidiaFirst-party
$0.20 / $0.80
Blended $0.35
Context
262,144
Output limit
262,144
Knowledge cutoff
2024-04
Released / updated
2026-03-11 / 2026-03-12
Capabilities
✓ Reasoning✓ Tool use? Structured output✓ TemperatureAttachments
Modalities
Text

Available at 2 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NvidiaOfficial
nvidia/nemotron-3-super-120b-a12b
First-party$0.20$0.80——262,144262,144
Ollama CloudCloud————262,14465,536hostTable.undisclosed

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1Nvidia · Official$80.00
The cheapest paid channel is official.

Reasoning control

Toggle (on / off)

Related models

nemotron-lightning-3.5-30b-a3bsame series$0.05 / $0.20Nemotron 3.5 Lightning 30B A3Bsame series$0 / $0Nemotron 3.5 Lightning Freesame series$0 / $0DeepSeek V4 Flashcheaper alternative$0.14 / $0.28GLM-5.3-Flashcheaper alternative$0.075 / $0.25GPT-5 Nanocheaper alternative$0.05 / $0.40MiMo-V2.5cheaper alternative$0.14 / $0.28

Price historyone sample accumulated per data sync

Input list $0.20Output list $0.80Min blended $0.35

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-04). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT) · Nvidia official docs ↗