# LLM-Benchmark Konfiguration # Modell : Qwen2.5-32B-Instruct-AWQ # Engine : vLLM # Run-ID : run-20260826-215014-c6b10c # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Qwen2.5-32B-Instruct

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.	Qwen2.5-32B-Instruct
execution_type	local

All benchmarks of this model To leaderboard

Model comparison

Qwen2.5-32B-Instruct-AWQ 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

NVIDIA RTX PRO 6000 Blackwell Workstation Edition 510,3 tok/sNVIDIA GeForce RTX 5090 473,9 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 412,6 tok/s★ NVIDIA RTX A6000 362,6 tok/s this runNVIDIA GeForce RTX 3090 Ti 223,8 tok/sAMD Radeon RX 7900 XTX 179,0 tok/sAMD Radeon AI PRO R9700 116,3 tok/sAMD Radeon PRO W7900 Dual Slot 89,6 tok/sAMD Radeon PRO W7800 48GB 69,9 tok/sNVIDIA GeForce RTX 5070 Ti 45,0 tok/s

CPUby processor

AMD Ryzen 9 9950X 16-Core Processor 510,3 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 473,9 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 412,6 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 362,6 tok/s this runAMD Ryzen 9 8945HX with Radeon Graphics 223,8 tok/sAMD Ryzen Threadripper PRO 3955WX 16-Cores 179,0 tok/sAMD Ryzen 3 3100 4-Core Processor 116,3 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 89,6 tok/s

MBby mainboard

ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 510,3 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 473,9 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 412,6 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 223,8 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 179,0 tok/sASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING 116,3 tok/s

ENGby engine

★ vLLM 510,3 tok/s this runllama.cpp 474,0 tok/s

DRVby driver

unbekannt 510,3 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 URL Reset

⚡ Electricity price EUR/kWh

⚙️ System utilization 100 %

🖥️ Acquisition EUR

🔌 Idle 80 W

⚡ TDP 371 W

☁️ External LLM (API) show

Input €/1M Output €/1M Input per output token

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 0.16

Token / kWh1.86M

Acquisition (system)EUR 8,424 full priceGPU EUR 3,000 · CPU EUR 1,399 · Board EUR 1,299 · RAM EUR 2,576 · PSU EUR 150

Electricity (2 years)–

TCO (2 years)EUR 10,374

Output tokens (2 years)12.10B

☁️ 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 (80 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

	Qwen2.5-32B-Instruct-AWQNVIDIA RTX A6000	Qwen2.5-32B-Instruct-AWQNVIDIA RTX PRO 6000 Blackwell Workstation Edition	Qwen2.5-32B-Instruct-AWQNVIDIA RTX PRO 6000 Blackwell Workstation Edition	Qwen2.5-32B-Instruct-AWQNVIDIA GeForce RTX 5090
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)	–	–	–	–

NVIDIA RTX A6000 · this run 192 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 510 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 474 tok/s NVIDIA GeForce RTX 5090 474 tok/s

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.