Nemotron 3 Super
Released Mar 11, 2026 · knowledge cutoff unpublished
- Status
- Unknown
- Location
- United States
- Type
- LLM
- Modality
- Text
- Context window
- 1M
- Max output
- —
- Speed
- 139 tok/s · 1.80s to first answer token
- Price ($/MTok in / out)
- $0.10 / $0.50
- Cost per task
- $0.20
- Open weights
- Yes
Benchmarks4 of 10 reported
MMLU-Proretired
SWE-bench Verified
AIME (latest)retired
Humanity's Last Exam
GPQA Diamond
SWE-bench Pro
Terminal-Bench 2.1
LMArena Elo
GDPval-AA v2
ARC-AGI-2
Strengths & weaknesses
Strengths
- Among the fastest open models at its capability — roughly 450 output tokens/sec on hosted endpoints
- Activates about a tenth of its parameters per token, so it serves far cheaper than its size implies
- Handles very long inputs without the slowdown dense models hit, thanks to the hybrid state-space design
Weaknesses
- Text-only, so no screenshots, diagrams or PDFs
- Reasoning depth well short of frontier flagships — a fast workhorse rather than a hard-problem model
Middle of the Nemotron 3 family; 120B total / 12.7B active MoE. MMLU-Pro 83.73, SWE-bench Verified 60.47, AIME 2025 90.21 and HLE 18.26 per llm-stats' launch analysis. GPQA Diamond left null deliberately: the reported 79.23 is labelled "GPQA no tools", which NVIDIA's own report treats as distinct from GPQA Diamond. Pricing is DeepInfra's rate; OpenRouter lists $0.085/$0.40 and the cross-provider median is about $0.30/$0.80. Artificial Analysis Intelligence Index 36.0. Speed is Artificial Analysis' median across providers serving Nemotron 3 Super.
For developers
API model strings
- nvidia
nvidia/nemotron-3-super-120b-a12b
Licence
NVIDIA Nemotron Open Model License · Restricted · commercial use permitted
Retirement
No retirement announced
Lineage
No recorded predecessor