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Contributed byMario AlkaQwen (Alibaba)

Qwen3.5-122B-A10B

Performance benchmark · measured on 18.08.2026 00:54

Benchmark-IDrun-20260818-011053-58625f
Timebench 3 - Kombi (Prefill + Generation)MoE122BRuntime: vLLMQuantisierung: GPTQ
Generation168,57tok/s
Prefill13.855,19tok/s
Time to First Token2.538,00ms
Total duration127,03s
Concurrency10parallel
Ranking in the field
444of 820 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 10× concurrent

This run is better than 46 % of all comparable systems.
Generation 168,6 tok/s
-65 % vs Ø 485,2
Prefill 13.855,2 tok/s
+197 % vs Ø 4.661,8
Time to First Token 2.538 ms
-96 % vs Ø 63.970
Distribution in the field0 – 2.491 tok/s
Ø 485 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

gemma-4-E2B-itNVIDIA GeForce RTX 5090 · run-20260728-184455-e28775
2.491,2 tok/s
gemma-4-E2B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181606-b37ed9
2.414,4 tok/s
Nemotron-3-Nano-4BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181607-4cca42
2.182,7 tok/s
gemma-4-E2B-it3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-184456-d87c73
2.143,6 tok/s
gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260730-035052-9c966e
1.995,4 tok/s
gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260728-140954-8007c4
1.993,5 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-0aed86
1.937,7 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-8db0fa
1.911,6 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260727-181606-e0eafd
1.897,0 tok/s
gpt-oss-20bNVIDIA GeForce RTX 5090 · run-20260729-032121-7c961d
1.890,7 tok/s
Nemotron-3-Nano-4BNVIDIA GeForce RTX 5090 · run-20260728-194135-2ed9dd
1.878,7 tok/s
gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-034052-26063b
1.835,7 tok/s
Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-a77046
1.830,3 tok/s
gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260729-032121-c6e7e0
1.819,5 tok/s
Qwen3.5-122B-A10B this run4× AMD Radeon AI PRO R9700 · run-20260818-011053-58625f
168,6 tok/s

How does this benchmark compare on other GPUs?

Same model on different hardware · 10× concurrent · Generation (tok/s)

Hardware

GPU: 4x AMD Radeon AI PRO R9700 · 32 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: GPTQ
Model: Qwen3.5-122B-A10B

Configuration

benchmark-konfiguration — run-20260818-011053-58625f
# LLM-Benchmark Konfiguration # Modell : Qwen3.5-122B-A10B # Engine : vLLM # Run-ID : run-20260818-011053-58625f # GPU : 4x AMD Radeon AI PRO R9700 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Qwen3.5-122B-A10B
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.Qwen3.5-122B-A10B

All benchmarks of this model To leaderboard

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Model comparison

Qwen3.5-122B-A10B 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

7325493661830,001.2912.5823.873Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 564,6 tok/s Generation, 2.824 tok/s Prefill, TTFT 9.370 ms (12 Laufe)NVIDIA RTX PRO 6000 B...AMD Radeon PRO W7900 Dual Slot - 96,5 tok/s Generation, 420 tok/s Prefill, TTFT 52.568 ms (9 Laufe)AMD Radeon PRO W7900 ...NVIDIA GeForce RTX 5070 Ti - 31,1 tok/s Generation, 94 tok/s Prefill, TTFT 168.001 ms (8 Laufe)NVIDIA GeForce RTX 50...NVIDIA GeForce RTX 3090 Ti - 24,9 tok/s Generation, 129 tok/s Prefill, TTFT 137.609 ms (3 Laufe)NVIDIA GeForce RTX 30...NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 12,1 tok/s Generation, 71 tok/s Prefill, TTFT 105.658 ms (5 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 8,3 tok/s Generation, 72 tok/s Prefill, TTFT 99.190 ms (8 Laufe)NVIDIA GeForce RTX 50...AMD Radeon AI PRO R9700 - 168,6 tok/s Generation, 3.133 tok/s Prefill, TTFT 24.492 ms (9 Laufe) | DIESER LAUF★ AMD Radeon AI PRO R97...
NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 564,6 tok/s★ AMD Radeon AI PRO R9700 168,6 tok/s this runAMD Radeon PRO W7900 Dual Slot 96,5 tok/sNVIDIA GeForce RTX 5070 Ti 31,1 tok/sNVIDIA GeForce RTX 3090 Ti 24,9 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 12,1 tok/sNVIDIA GeForce RTX 5090 8,3 tok/s

CPUby processor

7325493661830,001.2912.5823.873Prefill (tok/s)Generation (tok/s)AMD Ryzen Threadripper PRO 9965WX 24-Cores - 564,6 tok/s Generation, 2.824 tok/s Prefill, TTFT 9.370 ms (12 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 96,5 tok/s Generation, 266 tok/s Prefill, TTFT 106.889 ms (17 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 24,9 tok/s Generation, 129 tok/s Prefill, TTFT 137.609 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen 9 9950X 16-Core Processor - 12,1 tok/s Generation, 71 tok/s Prefill, TTFT 105.658 ms (5 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 8,3 tok/s Generation, 72 tok/s Prefill, TTFT 99.190 ms (8 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 168,6 tok/s Generation, 3.133 tok/s Prefill, TTFT 24.492 ms (9 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen Threadripper PRO 9965WX 24-Cores 564,6 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 168,6 tok/s this runAMD Ryzen Threadripper PRO 5975WX 32-Cores 96,5 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 24,9 tok/sAMD Ryzen 9 9950X 16-Core Processor 12,1 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 8,3 tok/s

MBby mainboard

7325493661830,001.2182.4353.653Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 96,5 tok/s Generation, 266 tok/s Prefill, TTFT 106.889 ms (17 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 24,9 tok/s Generation, 129 tok/s Prefill, TTFT 137.609 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 12,1 tok/s Generation, 71 tok/s Prefill, TTFT 105.658 ms (5 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 8,3 tok/s Generation, 72 tok/s Prefill, TTFT 99.190 ms (8 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 564,6 tok/s Generation, 2.956 tok/s Prefill, TTFT 15.851 ms (21 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 564,6 tok/s this runASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 96,5 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 24,9 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 12,1 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 8,3 tok/s

ENGby engine

70053336720032,903.7787.55611.334Prefill (tok/s)Generation (tok/s)llama.cpp - 564,6 tok/s Generation, 788 tok/s Prefill, TTFT 76.086 ms (51 Laufe)llama.cppvLLM - 168,6 tok/s Generation, 9.255 tok/s Prefill, TTFT 1.415 ms (3 Laufe) | DIESER LAUF★ vLLM
llama.cpp 564,6 tok/s★ vLLM 168,6 tok/s this run

DRVby driver

6215935655365081.1821.2331.2831.333Prefill (tok/s)Generation (tok/s)unbekannt - 564,6 tok/s Generation, 1.258 tok/s Prefill, TTFT 71.937 ms (54 Laufe)unbekannt
unbekannt 564,6 tok/s
💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (10× 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 85 W
⚡ TDP 371 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)371 W estimated (TDP)GPU 300 + CPU 46 + Board 25 W full load
Avg cost / hourEUR 0.11
Electricity / 1M tokensEUR 0.18
Token / kWh1.64M
Acquisition (system)EUR 6,824 full priceGPU EUR 1,400 · CPU EUR 1,399 · Board EUR 1,299 · RAM EUR 2,576 · PSU EUR 150
Electricity (2 years)
TCO (2 years)EUR 8,774
Output tokens (2 years)10.63B
☁️ External LLM (API) – comparison
External LLM cost (2 years)
Savings vs. external (2 years)

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 (85 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

Qwen3.5-122B-A10BAMD Radeon AI PRO R9700Qwen3.5-122B-A10B3x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation EditionQwen3.5-122B-A10B3x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation EditionQwen3.5-122B-A10B3x 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.