vs
5:0
overall capability wins (0 ties across 5 scored). Nemotron 3 Ultra leads overall.
- Reasoning1:0
- Coding1:0
- Pricing0:3
- Speed0:2
- Specs3:0
Verdict
Nemotron 3 Ultra leads coding (widest gap: +17.9 on LiveCode); Nemotron 3 Ultra offers ~2.0x larger context (262K vs 128K); Nemotron 3 Ultra allows ~4.0x more max output (33K vs 8K).
- Nemotron 3 Ultra leads coding (widest gap: +17.9 on LiveCode)
- Nemotron 3 Ultra offers ~2.0x larger context (262K vs 128K)
- Nemotron 3 Ultra allows ~4.0x more max output (33K vs 8K)
- Nemotron Nano 9B v2 is ~9.5x cheaper on a blended token basis than Nemotron 3 Ultra
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Nemotron 3 Ultra
- $1.05
- Nemotron Nano 9B v2
- $0.11
Nemotron Nano 9B v2 is about 9.5x 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
Jan 15, 2026
Aug 18, 2025
Knowledge cutoff
-
-
API / provider
NVIDIA NIM / self-host
NVIDIA NIM
Modalities
text → text
text → text
Specs
Context window
262K
128K
Max output
33K
8K
Parameters
550B (55B act.)
9B
Pricing
Input $/1M
$0.60
$0.06
Output $/1M
$1.80
$0.20
Blended $/1M (3∶1)
$0.90
$0.10
Speed
tok/s
100
140
TTFT (s)
0.3
0.2
Reasoning
MMLU-Pro
86.8
—
GPQA Diamond
86.7
—
Humanity's Last Exam
28.4
6.5
AIME 2025
—
72.1
MATH-500
—
97.8
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
22.6
—
AA-LCR v1.1
79.3
—
CritPt
3.1
—
MMMU-Pro
—
—
IFBench
81.4
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
70.7
—
SWE-bench Pro
—
—
SWE-bench Multilingual
67.7
—
LiveCodeBench
89.0
71.1
Terminal-Bench 2.1
56.4
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
40.3
—
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 Ultra | Nemotron Nano 9B v2 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | NVIDIA | — |
| Family | Nemotron | Nemotron | — |
| License | NVIDIA Open Model | NVIDIA Open Model | — |
| Open weights | Yes | Yes | — |
| Release | Jan 15, 2026 | Aug 18, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | NVIDIA NIM / self-host | NVIDIA NIM | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 262K | 128K | A +134K |
| Max output | 33K | 8K | A +25K |
| Parameters | 550B (55B act.) | 9B | A +541 |
| Pricing | |||
| Input $/1M | $0.60 | $0.06 | B +$0.54 |
| Output $/1M | $1.80 | $0.20 | B +$1.60 |
| Blended $/1M (3∶1) | $0.90 | $0.10 | B +$0.80 |
| Speed | |||
| tok/s | 100 | 140 | B +40 |
| TTFT (s) | 0.3 | 0.2 | B +0.10 |
| Reasoning | |||
| MMLU-Pro | 86.8 | — | — |
| GPQA Diamond | 86.7 | — | — |
| Humanity's Last Exam | 28.4 | 6.5 | A +21.9 pts |
| AIME 2025 | — | 72.1 | — |
| MATH-500 | — | 97.8 | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 22.6 | — | — |
| AA-LCR v1.1 | 79.3 | — | — |
| CritPt | 3.1 | — | — |
| MMMU-Pro | — | — | — |
| IFBench | 81.4 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | 70.7 | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | 67.7 | — | — |
| LiveCodeBench | 89.0 | 71.1 | A +17.9 pts |
| Terminal-Bench 2.1 | 56.4 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 40.3 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Nemotron 3 Ultra
- Context
- 262K / 33K out
- Parameters
- 550B (55B act.)
- Price
- $0.60 / $1.80
- Speed
- 100 tok/s · 0.3s TTFT
- Modalities
- text → text
- License
- NVIDIA Open Model
NVIDIA open MoE optimized for NIM deployment and enterprise self-hosting.
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.