NVIDIA

nemotron-3-super:cloud

Medium usage

NVIDIA Nemotron 3 Super is a 120B open MoE model activating just 12B parameters, designed to deliver strong agentic, reasoning, and conversational capabilities for collaborative agents and high-volume workloads such as IT ticket automation.

toolsthinkingcloudCommunity r/nvidia

Context window256K

ModalitiesText

Size120B (12B active)

Pulls2.9M

Tags7

Updated5 months ago

ollama run nemotron-3-super

Cloud tags

Tag	Context	Modalities
nemotron-3-super:cloud	256K	Text
nemotron-3-super:latest (local, 87GB)	256K	Text

Key features

Efficient MoE — 120B total parameters with 12B active per token for maximum compute efficiency.
Reasoning-first design — generates a reasoning trace before the final response; configurable through a flag in the chat template.
Multilingual — English, French, German, Italian, Japanese, Spanish, and Chinese.
Commercial-ready — open weights, training data, and recipes; ready for commercial use.

Benchmark highlights

Benchmark	Score
MMLU-Pro	83.7
AIME25 (no tools)	90.2
LiveCodeBench v5	81.2
SWE-Bench (OpenHands)	60.5
RULER @ 256k	96.3

Best practices

High-volume workloads — optimized for collaborative agents and IT ticket automation.
Reasoning flag — toggle reasoning traces via the chat template flag; disabling saves tokens at slight accuracy cost on hard prompts.
Long context — RULER stays above 91% at 1M in the 30B family variant; the 120B Super holds 96.3% at 256k.

Specs sourced from ollama.com/library/nemotron-3-super · Retrieved 2026-08-29