vs
3:0
overall capability wins (0 ties across 3 scored). Nemotron Super 3 120B leads overall.
- Pricing0:3
- Speed0:2
- Specs3:0
Verdict
Nemotron Super 3 120B offers ~2.0x larger context (262K vs 128K); Nemotron Super 3 120B allows ~2.0x more max output (16K vs 8K); Nemotron Nano 9B v2 is ~2.1x cheaper on a blended token basis than Nemotron Super 3 120B.
- Nemotron Super 3 120B offers ~2.0x larger context (262K vs 128K)
- Nemotron Super 3 120B allows ~2.0x more max output (16K vs 8K)
- Nemotron Nano 9B v2 is ~2.1x cheaper on a blended token basis than Nemotron Super 3 120B
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Nemotron Super 3 120B
- $0.23
- Nemotron Nano 9B v2
- $0.11
Nemotron Nano 9B v2 is about 2.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
NVIDIA
NVIDIA
Family
Nemotron
Nemotron
License
NVIDIA Open Model
NVIDIA Open Model
Open weights
Yes
Yes
Release
Mar 11, 2026
Aug 18, 2025
Knowledge cutoff
-
-
API / provider
NVIDIA NIM
NVIDIA NIM
Modalities
text → text
text → text
Specs
Context window
262K
128K
Max output
16K
8K
Parameters
120B (12B act.)
9B
Pricing
Input $/1M
$0.10
$0.06
Output $/1M
$0.50
$0.20
Blended $/1M (3∶1)
$0.20
$0.10
Speed
tok/s
68
140
TTFT (s)
0.4
0.2
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
6.5
AIME 2025
—
72.1
MATH-500
—
97.8
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
71.1
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Nemotron Super 3 120B | Nemotron Nano 9B v2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | NVIDIA | — |
| Family | Nemotron | Nemotron | — |
| License | NVIDIA Open Model | NVIDIA Open Model | — |
| Open weights | Yes | Yes | — |
| Release | Mar 11, 2026 | Aug 18, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | NVIDIA NIM | NVIDIA NIM | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 262K | 128K | A +134K |
| Max output | 16K | 8K | A +8K |
| Parameters | 120B (12B act.) | 9B | A +111 |
| Pricing | |||
| Input $/1M | $0.10 | $0.06 | B +$0.04 |
| Output $/1M | $0.50 | $0.20 | B +$0.30 |
| Blended $/1M (3∶1) | $0.20 | $0.10 | B +$0.11 |
| Speed | |||
| tok/s | 68 | 140 | B +72 |
| TTFT (s) | 0.4 | 0.2 | B +0.20 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | 6.5 | — |
| AIME 2025 | — | 72.1 | — |
| MATH-500 | — | 97.8 | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | 71.1 | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Nemotron Super 3 120B
- Context
- 262K / 16K out
- Parameters
- 120B (12B act.)
- Price
- $0.10 / $0.50
- Speed
- 68 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- NVIDIA Open Model
Hybrid Mamba-MoE Nemotron 3 mid-tier — 120B total / 12B active with reasoning budgets for agentic NIM deployments.
Nemotron Nano 9B v2
- Context
- 128K / 8K out
- Parameters
- 9B
- Price
- $0.06 / $0.20
- Speed
- 140 tok/s · 0.2s TTFT
- Modalities
- text → text
- License
- NVIDIA Open Model
NVIDIA's compact Nemotron Nano — surprisingly strong coding for a sub-10B open model.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.