vs
4:1
overall capability wins (1 ties across 6 scored). Nemotron 3 Ultra leads overall.
- Reasoning2:0
- Coding1:0
- Pricing0:3
- Speed2:0
- Specs1:1
Verdict
Nemotron 3 Ultra leads coding (widest gap: +20.7 on LiveCode); Nemotron Nano 3 30B allows ~2.0x more max output (66K vs 33K); Nemotron Nano 3 30B is ~10.3x cheaper on a blended token basis than Nemotron 3 Ultra.
- Nemotron 3 Ultra leads coding (widest gap: +20.7 on LiveCode)
- Nemotron Nano 3 30B allows ~2.0x more max output (66K vs 33K)
- Nemotron Nano 3 30B is ~10.3x 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 3 30B
- $0.10
Nemotron Nano 3 30B is about 10.5x 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
Dec 15, 2025
Knowledge cutoff
-
-
API / provider
NVIDIA NIM / self-host
NVIDIA NIM
Modalities
text → text
text → text
Specs
Context window
262K
262K
Max output
33K
66K
Parameters
550B (55B act.)
30B (3.5B act.)
Pricing
Input $/1M
$0.60
$0.05
Output $/1M
$1.80
$0.20
Blended $/1M (3∶1)
$0.90
$0.09
Speed
tok/s
100
68
TTFT (s)
0.3
0.4
Reasoning
MMLU-Pro
86.8
78.3
GPQA Diamond
86.7
—
Humanity's Last Exam
28.4
10.6
AIME 2025
—
89.1
MATH-500
—
—
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
68.3
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 3 30B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | NVIDIA | — |
| Family | Nemotron | Nemotron | — |
| License | NVIDIA Open Model | NVIDIA Open Model | — |
| Open weights | Yes | Yes | — |
| Release | Jan 15, 2026 | Dec 15, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | NVIDIA NIM / self-host | NVIDIA NIM | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 262K | 262K | tie |
| Max output | 33K | 66K | B +33K |
| Parameters | 550B (55B act.) | 30B (3.5B act.) | A +520 |
| Pricing | |||
| Input $/1M | $0.60 | $0.05 | B +$0.55 |
| Output $/1M | $1.80 | $0.20 | B +$1.60 |
| Blended $/1M (3∶1) | $0.90 | $0.09 | B +$0.81 |
| Speed | |||
| tok/s | 100 | 68 | A +32 |
| TTFT (s) | 0.3 | 0.4 | A +0.10 |
| Reasoning | |||
| MMLU-Pro | 86.8 | 78.3 | A +8.5 pts |
| GPQA Diamond | 86.7 | — | — |
| Humanity's Last Exam | 28.4 | 10.6 | A +17.8 pts |
| AIME 2025 | — | 89.1 | — |
| MATH-500 | — | — | — |
| 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 | 68.3 | A +20.7 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 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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.