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Contributed byMario AlkaQwen (Alibaba)

Qwen2.5-Coder-32B-Instruct

Performance benchmark · measured on 26.08.2026 23:41

Benchmark-IDrun-20260826-215015-1f7ecc
Timebench 3 - Kombi (Prefill + Generation)Dense32BRuntime: vLLMQuantisierung: AWQ
Generation121,76tok/s
Prefill2.552,52tok/s
Time to First Token5.654,00ms
Total duration95,84s
Concurrency5parallel
Ranking in the field
66of 87 systems

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

This run is better than 24 % of all comparable systems.
Generation 121,8 tok/s
-44 % vs Ø 216,0
Prefill 2.552,5 tok/s
-66 % vs Ø 7.495,7
Time to First Token 5.654 ms
+76 % vs Ø 3.204
Distribution in the field24 – 632 tok/s
Ø 216 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

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: Qwen2.5-Coder-32B-Instruct

Configuration

benchmark-konfiguration — run-20260826-215015-1f7ecc
# LLM-Benchmark Konfiguration # Modell : Qwen2.5-Coder-32B-Instruct # Engine : vLLM # Run-ID : run-20260826-215015-1f7ecc # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Qwen2.5-Coder-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-Coder-32B-Instruct

All benchmarks of this model To leaderboard

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Model comparison

Qwen2.5-Coder-32B-Instruct 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

6474853231620,001.8153.6295.444Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 500,6 tok/s Generation, 4.446 tok/s Prefill, TTFT 6.330 ms (6 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 479,6 tok/s Generation, 4.242 tok/s Prefill, TTFT 10.075 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 412,8 tok/s Generation, 4.476 tok/s Prefill, TTFT 11.913 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 236,4 tok/s Generation, 2.040 tok/s Prefill, TTFT 20.899 ms (3 Laufe)NVIDIA GeForce RTX 30...AMD Radeon PRO W7900 Dual Slot - 102,1 tok/s Generation, 1.068 tok/s Prefill, TTFT 13.870 ms (12 Laufe)AMD Radeon PRO W7900 ...NVIDIA GeForce RTX 5070 Ti - 45,3 tok/s Generation, 587 tok/s Prefill, TTFT 95.842 ms (3 Laufe)NVIDIA GeForce RTX 50...AMD Radeon AI PRO R9700 - 21,2 tok/s Generation, 2.649 tok/s Prefill, TTFT 50.284 ms (27 Laufe)AMD Radeon AI PRO R97...NVIDIA RTX A6000 - 191,9 tok/s Generation, 1.981 tok/s Prefill, TTFT 7.379 ms (6 Laufe) | DIESER LAUF★ NVIDIA RTX A6000
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 500,6 tok/sNVIDIA GeForce RTX 5090 479,6 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 412,8 tok/sNVIDIA GeForce RTX 3090 Ti 236,4 tok/s★ NVIDIA RTX A6000 191,9 tok/s this runAMD Radeon PRO W7900 Dual Slot 102,1 tok/sNVIDIA GeForce RTX 5070 Ti 45,3 tok/sAMD Radeon AI PRO R9700 21,2 tok/s

CPUby processor

6304733151580,0731.8403.6075.375Prefill (tok/s)Generation (tok/s)AMD Ryzen 9 9950X 16-Core Processor - 500,6 tok/s Generation, 4.446 tok/s Prefill, TTFT 6.330 ms (6 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 479,6 tok/s Generation, 4.242 tok/s Prefill, TTFT 10.075 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 412,8 tok/s Generation, 4.476 tok/s Prefill, TTFT 11.913 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 236,4 tok/s Generation, 2.040 tok/s Prefill, TTFT 20.899 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 102,1 tok/s Generation, 972 tok/s Prefill, TTFT 30.264 ms (15 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 191,9 tok/s Generation, 2.528 tok/s Prefill, TTFT 42.483 ms (33 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 9 9950X 16-Core Processor 500,6 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 479,6 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 412,8 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 236,4 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 191,9 tok/s this runAMD Ryzen Threadripper PRO 5975WX 32-Cores 102,1 tok/s

MBby mainboard

6304733151580,0801.8323.5855.338Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 500,6 tok/s Generation, 4.446 tok/s Prefill, TTFT 6.330 ms (6 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 479,6 tok/s Generation, 4.242 tok/s Prefill, TTFT 10.075 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 236,4 tok/s Generation, 2.040 tok/s Prefill, TTFT 20.899 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 102,1 tok/s Generation, 972 tok/s Prefill, TTFT 30.264 ms (15 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 412,8 tok/s Generation, 2.945 tok/s Prefill, TTFT 35.932 ms (42 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 500,6 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 479,6 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 412,8 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 236,4 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 102,1 tok/s

ENGby engine

6474853231620,01.2942.5853.8765.166Prefill (tok/s)Generation (tok/s)llama.cpp - 479,6 tok/s Generation, 2.003 tok/s Prefill, TTFT 43.566 ms (47 Laufe)llama.cppunbekannt - 21,2 tok/s Generation, 3.615 tok/s Prefill, TTFT 1.812 ms (10 Laufe)unbekanntvLLM - 500,6 tok/s Generation, 4.457 tok/s Prefill, TTFT 2.358 ms (12 Laufe) | DIESER LAUF★ vLLM
★ vLLM 500,6 tok/s this runllama.cpp 479,6 tok/sunbekannt 21,2 tok/s

DRVby driver

6474853231620,02.0852.7343.3834.032Prefill (tok/s)Generation (tok/s)unbekannt - 500,6 tok/s Generation, 2.502 tok/s Prefill, TTFT 35.185 ms (59 Laufe)unbekanntAMD 7.0.0-27-generic - 21,2 tok/s Generation, 3.615 tok/s Prefill, TTFT 1.812 ms (10 Laufe)AMD 7.0.0-27-generic
unbekannt 500,6 tok/sAMD 7.0.0-27-generic 21,2 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 0.049
Token / kWh6.17M
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)7.68B
☁️ 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

Qwen2.5-Coder-32B-InstructNVIDIA RTX A6000Qwen2.5-Coder-32B-InstructNVIDIA RTX PRO 6000 Blackwell Workstation EditionQwen2.5-Coder-32B-InstructNVIDIA RTX PRO 6000 Blackwell Workstation EditionQwen2.5-Coder-32B-InstructNVIDIA 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)

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.