vs
5:1
overall capability wins (0 ties across 6 scored). Nemotron Nano 3 30B leads overall.
- Reasoning2:0
- Coding0:1
- Pricing2:0
- Speed0:2
- Specs3:0
Verdict
Nemotron Nano 9B v2 leads coding (widest gap: +2.8 on LiveCode); Nemotron Nano 3 30B edges reasoning & knowledge; Nemotron Nano 3 30B offers ~2.0x larger context (262K vs 128K).
- Nemotron Nano 9B v2 leads coding (widest gap: +2.8 on LiveCode)
- Nemotron Nano 3 30B edges reasoning & knowledge
- Nemotron Nano 3 30B offers ~2.0x larger context (262K vs 128K)
- Nemotron Nano 3 30B allows ~8.0x more max output (66K vs 8K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Nemotron Nano 3 30B
- $0.10
- Nemotron Nano 9B v2
- $0.11
Price per 1M tokens
Full comparison
Organization
NVIDIA
NVIDIA
Family
Nemotron
Nemotron
License
NVIDIA Open Model
NVIDIA Open Model
Open weights
Yes
Yes
Release
Dec 15, 2025
Aug 18, 2025
Knowledge cutoff
-
-
API / provider
NVIDIA NIM
NVIDIA NIM
Modalities
text → text
text → text
Specs
Context window
262K
128K
Max output
66K
8K
Parameters
30B (3.5B act.)
9B
Pricing
Input $/1M
$0.05
$0.06
Output $/1M
$0.20
$0.20
Blended $/1M (3∶1)
$0.09
$0.10
Speed
tok/s
68
140
TTFT (s)
0.4
0.2
Reasoning
MMLU-Pro
78.3
—
GPQA Diamond
—
—
Humanity's Last Exam
10.6
6.5
AIME 2025
89.1
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
68.3
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 Nano 3 30B | Nemotron Nano 9B v2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | NVIDIA | — |
| Family | Nemotron | Nemotron | — |
| License | NVIDIA Open Model | NVIDIA Open Model | — |
| Open weights | Yes | Yes | — |
| Release | Dec 15, 2025 | 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 | 66K | 8K | A +57K |
| Parameters | 30B (3.5B act.) | 9B | A +21 |
| Pricing | |||
| Input $/1M | $0.05 | $0.06 | A +$0.010 |
| Output $/1M | $0.20 | $0.20 | tie |
| Blended $/1M (3∶1) | $0.09 | $0.10 | A +$0.007 |
| Speed | |||
| tok/s | 68 | 140 | B +72 |
| TTFT (s) | 0.4 | 0.2 | B +0.20 |
| Reasoning | |||
| MMLU-Pro | 78.3 | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | 10.6 | 6.5 | A +4.1 pts |
| AIME 2025 | 89.1 | 72.1 | A +17.0 pts |
| 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 | 68.3 | 71.1 | B +2.8 pts |
| 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 Nano 3 30B
- Context
- 262K / 66K out
- Parameters
- 30B (3.5B act.)
- Price
- $0.05 / $0.20
- Speed
- 68 tok/s · 0.4s TTFT
- Modalities
- text → text
- License
- NVIDIA Open Model
Efficient Nemotron Nano 3 MoE — Mamba-2 + attention hybrid with 3.5B active params and 262K context on NIM.
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.