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Contributed byMario AlkaNVIDIA

Nemotron-3-Nano-Omni-30B-A3B-Reasoning

Performance benchmark · measured on 27.08.2026 00:26

Benchmark-IDrun-20260826-225451-1c46e6
Timebench 3 - Kombi (Prefill + Generation)MoE30BRuntime: vLLMQuantisierung: AWQ
Generation348,18tok/s
Prefill14.665,47tok/s
Time to First Token859,00ms
Total duration31,20s
Concurrency5parallel
Ranking in the field
240of 939 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 5× concurrent

This run is better than 75 % of all comparable systems.
Generation 348,2 tok/s
+30 % vs Ø 267,7
Prefill 14.665,5 tok/s
+242 % vs Ø 4.288,4
Time to First Token 859 ms
-98 % vs Ø 37.922
Distribution in the field0 – 1.349 tok/s
Ø 268 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

gemma-4-E2B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181606-0adf6d
1.349,3 tok/s
gemma-4-E2B-itNVIDIA GeForce RTX 5090 · run-20260728-184455-5b4937
1.301,9 tok/s
gemma-4-E2B-it3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-184456-4111a9
1.195,7 tok/s
Nemotron-3-Nano-4BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181607-30d864
1.188,7 tok/s
Nemotron-3-Nano-4BNVIDIA GeForce RTX 5090 · run-20260728-194135-5432cd
1.164,8 tok/s
gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260728-140954-9e81f9
1.136,3 tok/s
gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260730-035052-09627f
1.135,0 tok/s
gpt-oss-20bNVIDIA GeForce RTX 5090 · run-20260729-032121-058a31
1.113,5 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-836a91
1.090,6 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260727-181606-8b381e
1.077,4 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-b8a818
1.071,0 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-038e92
1.051,1 tok/s
gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260729-032121-ffb18a
1.015,5 tok/s
Nemotron-3-Nano-30B-A3BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260729-032121-305ad6
1.007,8 tok/s
Nemotron-3-Nano-Omni-30B-A3B-Reasoning this runNVIDIA RTX A6000 · run-20260826-225451-1c46e6
348,2 tok/s

How does this benchmark compare on other GPUs?

Same model on different hardware · 5× concurrent · Generation (tok/s)

Hardware

GPU: NVIDIA RTX A6000 · 48 GB VRAM
CPU: AMD Ryzen Threadripper PRO 7955WX 16-Cores
RAM: 184 GB
Mainboard: ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE

Setup

Runtime: vLLM
Quantization: AWQ
Model: Nemotron-3-Nano-Omni-30B-A3B-Reasoning

Configuration

benchmark-konfiguration — run-20260826-225451-1c46e6
# LLM-Benchmark Konfiguration # Modell : Nemotron-3-Nano-Omni-30B-A3B-Reasoning # Engine : vLLM # Run-ID : run-20260826-225451-1c46e6 # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Nemotron-3-Nano-Omni-30B-A3B-Reasoning
Engine?Die Inferenz-Software, die das Modell ausliefert (z.B. vLLM oder llama.cpp). Sie bestimmt Geschwindigkeit, unterstuetzte Modellformate und welche Parameter ueberhaupt verfuegbar sind.vllm
Modellalias?Der Name, unter dem das Modell ueber die API angesprochen wird. Genau dieser Wert muss im Request-Feld 'model' stehen.Nemotron-3-Nano-Omni-30B-A3B-Reasoning

All benchmarks of this model To leaderboard

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Model comparison

Nemotron-3-Nano-Omni-30B-A3B-Reasoning on various hardware

All published performance runs of this model – each bubble a variant: position = prefill (X) × generation (Y), bubble size = number of runs. Closer to the top right = faster. ★ Marked gold = this benchmark.

GPUby graphics card

2.3041.7281.1525760,003.3096.6189.927Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 1.791,5 tok/s Generation, 6.053 tok/s Prefill, TTFT 3.537 ms (3 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 1.706,7 tok/s Generation, 5.892 tok/s Prefill, TTFT 3.614 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 1.651,0 tok/s Generation, 8.080 tok/s Prefill, TTFT 3.410 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 896,6 tok/s Generation, 3.860 tok/s Prefill, TTFT 6.490 ms (3 Laufe)NVIDIA GeForce RTX 30...NVIDIA GeForce RTX 5070 Ti - 262,5 tok/s Generation, 700 tok/s Prefill, TTFT 27.130 ms (3 Laufe)NVIDIA GeForce RTX 50...AMD Radeon AI PRO R9700 - 122,4 tok/s Generation, 510 tok/s Prefill, TTFT 64.956 ms (10 Laufe)AMD Radeon AI PRO R97...NVIDIA RTX A6000 - 527,0 tok/s Generation, 7.611 tok/s Prefill, TTFT 1.848 ms (9 Laufe) | DIESER LAUF★ NVIDIA RTX A6000
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.791,5 tok/sNVIDIA GeForce RTX 5090 1.706,7 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.651,0 tok/sNVIDIA GeForce RTX 3090 Ti 896,6 tok/s★ NVIDIA RTX A6000 527,0 tok/s this runNVIDIA GeForce RTX 5070 Ti 262,5 tok/sAMD Radeon AI PRO R9700 122,4 tok/s

CPUby processor

2.2761.7071.1385690,003.2986.5959.893Prefill (tok/s)Generation (tok/s)AMD Ryzen 9 9950X 16-Core Processor - 1.791,5 tok/s Generation, 6.053 tok/s Prefill, TTFT 3.537 ms (3 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 1.706,7 tok/s Generation, 5.892 tok/s Prefill, TTFT 3.614 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 1.651,0 tok/s Generation, 8.080 tok/s Prefill, TTFT 3.410 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 896,6 tok/s Generation, 3.860 tok/s Prefill, TTFT 6.490 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 262,5 tok/s Generation, 700 tok/s Prefill, TTFT 27.130 ms (3 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 527,0 tok/s Generation, 3.874 tok/s Prefill, TTFT 35.063 ms (19 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 9 9950X 16-Core Processor 1.791,5 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.706,7 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.651,0 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 896,6 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 527,0 tok/s this runAMD Ryzen Threadripper PRO 5975WX 32-Cores 262,5 tok/s

MBby mainboard

2.2761.7071.1385690,002.4604.9207.380Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 1.791,5 tok/s Generation, 6.053 tok/s Prefill, TTFT 3.537 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 1.706,7 tok/s Generation, 5.892 tok/s Prefill, TTFT 3.614 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 896,6 tok/s Generation, 3.860 tok/s Prefill, TTFT 6.490 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 262,5 tok/s Generation, 700 tok/s Prefill, TTFT 27.130 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 1.651,0 tok/s Generation, 5.226 tok/s Prefill, TTFT 24.889 ms (28 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.791,5 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.706,7 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.651,0 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 896,6 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 262,5 tok/s

ENGby engine

2.2241.6911.15962794,91.7546.44811.14115.835Prefill (tok/s)Generation (tok/s)llama.cpp - 1.791,5 tok/s Generation, 4.208 tok/s Prefill, TTFT 22.066 ms (37 Laufe)llama.cppvLLM - 527,0 tok/s Generation, 13.381 tok/s Prefill, TTFT 915 ms (3 Laufe) | DIESER LAUF★ vLLM
llama.cpp 1.791,5 tok/s★ vLLM 527,0 tok/s this run

DRVby driver

1.9711.8811.7911.7021.6124.6024.7984.9945.189Prefill (tok/s)Generation (tok/s)unbekannt - 1.791,5 tok/s Generation, 4.896 tok/s Prefill, TTFT 20.480 ms (40 Laufe)unbekannt
unbekannt 1.791,5 tok/s
💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (5× concurrent). Methodology →

⚙️ ConfigurationAll metrics and charts below follow these settings – based on a 24-month runtime.Save to URLReset
⚡ Electricity price EUR/kWh
⚙️ System utilization 100 %
🖥️ Acquisition EUR
🔌 Idle 65 W
⚡ TDP 71 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)71 W missingCPU 46 + Board 25 W full load
Avg cost / hourEUR 0.021
Electricity / 1M tokensEUR 0.017
Token / kWh17.65M
Acquisition (system)EUR 8,394 full priceGPU EUR 3,000 · CPU EUR 1,399 · Board EUR 1,299 · RAM EUR 2,576 · PSU EUR 120
Electricity (2 years)
TCO (2 years)EUR 8,767
Output tokens (2 years)21.96B
☁️ External LLM (API) – comparison
External LLM cost (2 years)
Savings vs. external (2 years)
No power draw measured – values estimated from GPU TDP + CPU (idle + 15 %) + board.

All values above and the charts below take the configured system utilization into account: at X% the system generates only X% of the time, the rest it idles (65 W). Cost per hour drops (more idle), cost per token rises.

Cost over 2 years – electricity only

Cost over 2 years – incl. acquisition (TCO)

Speed vs. tokens per euro

Euro per 1M tokens

Comparison vs. API – economics per benchmark

Nemotron-3-Nano-Omni-30B-A3B-ReasoningNVIDIA RTX A6000Nemotron-3-Nano-Omni-30B-A3B-ReasoningNVIDIA RTX PRO 6000 Blackwell Workstation EditionNemotron-3-Nano-Omni-30B-A3B-ReasoningNVIDIA GeForce RTX 5090Nemotron-3-Nano-Omni-30B-A3B-Reasoning3x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
Electricity cost (24 mo.)
Acquisition cost
Total cost (TCO)
Generated tokens (24 mo.)
Token price via API
Break-even point (days)
Result (savings / extra cost)

Comparison with up to 3 next-best runs of this model at the same concurrency (at least one on different hardware). Power = GPU TDP + CPU (idle + 15 %) + board (estimated), acquisition = full system (GPU + CPU + board + RAM + PSU), prices = stored market prices.

Contributed by

Mario Alka Administrator

@marioalka

Ich bin Unternehmer, Softwareentwickler und KI-Enthusiast. Seit vielen Jahren entwickle ich Unternehmenssoftware und beschäftige mich inzwischen fast täglich mit lokalen LLMs, KI-Agenten und leistungsfähiger KI-Hardware.

Mit LLM-Benchmark.de möchte ich eine Plattform schaffen, auf der Modelle, GPUs und Agenten objektiv und reproduzierbar miteinander verglichen werden.