vs
0:1
overall capability wins (1 ties across 2 scored). Nemotron Super 3 120B leads overall.
- Specs0:1
Verdict
Nemotron 3.5 Lightning and Nemotron Super 3 120B are closely matched on the overlapping metrics we have.
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Nemotron 3.5 Lightning
- -
- Nemotron Super 3 120B
- $0.23
Price per 1M tokens
Full comparison
Organization
NVIDIA
NVIDIA
Family
Nemotron
Nemotron
License
OpenMDW-1.1
NVIDIA Open Model
Open weights
Yes
Yes
Release
Aug 11, 2026
Mar 11, 2026
Knowledge cutoff
-
-
API / provider
No primary API price listed
NVIDIA NIM
Modalities
text → text
text → text
Specs
Context window
262K
262K
Max output
-
16K
Parameters
30B (3B act.)
120B (12B act.)
Pricing
Input $/1M
—
$0.10
Output $/1M
—
$0.50
Blended $/1M (3∶1)
-
$0.20
Speed
tok/s
-
68
TTFT (s)
-
0.4
Reasoning
MMLU-Pro
—
—
GPQA Diamond
74.3
—
Humanity's Last Exam
10.6
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
14.4
—
AA-LCR v1.1
60.3
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
24.3
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
32.1
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Nemotron 3.5 Lightning | Nemotron Super 3 120B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | NVIDIA | — |
| Family | Nemotron | Nemotron | — |
| License | OpenMDW-1.1 | NVIDIA Open Model | — |
| Open weights | Yes | Yes | — |
| Release | Aug 11, 2026 | Mar 11, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | No primary API price listed | NVIDIA NIM | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 262K | 262K | tie |
| Max output | - | 16K | — |
| Parameters | 30B (3B act.) | 120B (12B act.) | B +90 |
| Pricing | |||
| Input $/1M | — | $0.10 | — |
| Output $/1M | — | $0.50 | — |
| Blended $/1M (3∶1) | - | $0.20 | — |
| Speed | |||
| tok/s | - | 68 | — |
| TTFT (s) | - | 0.4 | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 74.3 | — | — |
| Humanity's Last Exam | 10.6 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 14.4 | — | — |
| AA-LCR v1.1 | 60.3 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 24.3 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 32.1 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Nemotron 3.5 Lightning
- Context
- 262K
- Parameters
- 30B (3B act.)
- Price
- —
- Speed
- —
- Modalities
- text → text
- License
- OpenMDW-1.1
NVIDIA's low-latency Nemotron variant (30B total / 3B active MoE, hybrid Mamba-2 + attention) built for high-volume specialized task execution inside long-running agents rather than deep reasoning; open weights under OpenMDW-1.1.
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.
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.