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Contributed byMario AlkaQwen (Alibaba)

Qwen-AgentWorld-35B-A3B

Performance benchmark · measured on 17.08.2026 11:13

Benchmark-IDrun-20260817-111924-9a2b47
Timebench 3 - Kombi (Prefill + Generation)MoE35BRuntime: llama.cppQuantisierung: UD-Q4_K_M
Generation69,13tok/s
Prefill1.288,95tok/s
Time to First Token1.337,00ms
Total duration6,51s
Concurrency1parallel
Ranking in the field
387of 1161 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 1× concurrent

This run is better than 67 % of all comparable systems.
Generation 69,1 tok/s
-7 % vs Ø 74,3
Prefill 1.289,0 tok/s
-45 % vs Ø 2.324,7
Time to First Token 1.337 ms
-96 % vs Ø 35.657
Distribution in the field0 – 405 tok/s
Ø 74 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

How does this benchmark compare on other GPUs?

Same model on different hardware · 1× 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: llama.cpp
Quantization: UD-Q4_K_M
Model: Qwen-AgentWorld-35B-A3B

Configuration

benchmark-konfiguration — run-20260817-111924-9a2b47
# LLM-Benchmark Konfiguration # Modell : Qwen-AgentWorld-35B-A3B # Engine : llama.cpp # Run-ID : run-20260817-111924-9a2b47 # GPU : 4x AMD Radeon AI PRO R9700 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ llama-server \ --model Qwen-AgentWorld-35B-A3B
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.llamacpp
Modellalias?Der Name, unter dem das Modell ueber die API angesprochen wird. Genau dieser Wert muss im Request-Feld 'model' stehen.Qwen-AgentWorld-35B-A3B

All benchmarks of this model To leaderboard

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Model comparison

Qwen-AgentWorld-35B-A3B 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

1.9051.4299524760,002.8165.6328.447Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 1.481,2 tok/s Generation, 6.880 tok/s Prefill, TTFT 3.627 ms (3 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 1.439,1 tok/s Generation, 5.167 tok/s Prefill, TTFT 4.136 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 1.363,4 tok/s Generation, 6.823 tok/s Prefill, TTFT 3.890 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 849,2 tok/s Generation, 3.458 tok/s Prefill, TTFT 6.729 ms (3 Laufe)NVIDIA GeForce RTX 30...NVIDIA GeForce RTX 5070 Ti - 140,1 tok/s Generation, 468 tok/s Prefill, TTFT 43.146 ms (3 Laufe)NVIDIA GeForce RTX 50...AMD Radeon 8060S Graphics - 103,8 tok/s Generation, 1.220 tok/s Prefill, TTFT 8.514 ms (3 Laufe)AMD Radeon 8060S Grap...AMD Radeon AI PRO R9700 - 192,0 tok/s Generation, 1.696 tok/s Prefill, TTFT 32.302 ms (21 Laufe) | DIESER LAUF★ AMD Radeon AI PRO R97...
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.481,2 tok/sNVIDIA GeForce RTX 5090 1.439,1 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.363,4 tok/sNVIDIA GeForce RTX 3090 Ti 849,2 tok/s★ AMD Radeon AI PRO R9700 192,0 tok/s this runNVIDIA GeForce RTX 5070 Ti 140,1 tok/sAMD Radeon 8060S Graphics 103,8 tok/s

CPUby processor

1.9051.4299524760,002.8165.6328.447Prefill (tok/s)Generation (tok/s)AMD Ryzen 9 9950X 16-Core Processor - 1.481,2 tok/s Generation, 6.880 tok/s Prefill, TTFT 3.627 ms (3 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 1.439,1 tok/s Generation, 5.167 tok/s Prefill, TTFT 4.136 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 1.363,4 tok/s Generation, 6.823 tok/s Prefill, TTFT 3.890 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 849,2 tok/s Generation, 3.458 tok/s Prefill, TTFT 6.729 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 140,1 tok/s Generation, 468 tok/s Prefill, TTFT 43.146 ms (3 Laufe)AMD Ryzen Threadrippe...AMD RYZEN AI MAX+ 395 w/ Radeon 8060S - 103,8 tok/s Generation, 1.220 tok/s Prefill, TTFT 8.514 ms (3 Laufe)AMD RYZEN AI MAX+ 395...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 192,0 tok/s Generation, 1.696 tok/s Prefill, TTFT 32.302 ms (21 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 9 9950X 16-Core Processor 1.481,2 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.439,1 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.363,4 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 849,2 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 192,0 tok/s this runAMD Ryzen Threadripper PRO 5975WX 32-Cores 140,1 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 103,8 tok/s

MBby mainboard

1.9051.4299524760,002.8165.6328.447Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 1.481,2 tok/s Generation, 6.880 tok/s Prefill, TTFT 3.627 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 1.439,1 tok/s Generation, 5.167 tok/s Prefill, TTFT 4.136 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 849,2 tok/s Generation, 3.458 tok/s Prefill, TTFT 6.729 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 140,1 tok/s Generation, 468 tok/s Prefill, TTFT 43.146 ms (3 Laufe)ASUSTeK COMPUTER INC....Bosgame AXB35-02 (BeyondMax Series) - 103,8 tok/s Generation, 1.220 tok/s Prefill, TTFT 8.514 ms (3 Laufe)Bosgame AXB35-02 (Bey...ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 1.363,4 tok/s Generation, 3.234 tok/s Prefill, TTFT 23.778 ms (30 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.481,2 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.439,1 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.363,4 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 849,2 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 140,1 tok/sBosgame AXB35-02 (BeyondMax Series) 103,8 tok/s

ENGby engine

1.9101.4329554770,02.0542.6143.1753.736Prefill (tok/s)Generation (tok/s)unbekannt - 78,5 tok/s Generation, 2.425 tok/s Prefill, TTFT 886 ms (3 Laufe)unbekanntllama.cpp - 1.481,2 tok/s Generation, 3.365 tok/s Prefill, TTFT 21.646 ms (42 Laufe) | DIESER LAUF★ llama.cpp
★ llama.cpp 1.481,2 tok/s this rununbekannt 78,5 tok/s

DRVby driver

1.9101.4329554770,02.0542.6143.1753.736Prefill (tok/s)Generation (tok/s)unbekannt - 1.481,2 tok/s Generation, 3.365 tok/s Prefill, TTFT 21.646 ms (42 Laufe)unbekanntAMD 7.0.0-27-generic - 78,5 tok/s Generation, 2.425 tok/s Prefill, TTFT 886 ms (3 Laufe)AMD 7.0.0-27-generic
unbekannt 1.481,2 tok/sAMD 7.0.0-27-generic 78,5 tok/s
💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (1× 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 145 W
⚡ TDP 1271 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)1,271 W estimated (TDP)GPU 1,200 + CPU 46 + Board 25 W full load
Avg cost / hourEUR 0.38
Electricity / 1M tokensEUR 1.53
Token / kWh195.80K
Acquisition (system)EUR 11,114 full priceGPU EUR 5,600 · CPU EUR 1,399 · Board EUR 1,299 · RAM EUR 2,576 · PSU EUR 240
Electricity (2 years)
TCO (2 years)EUR 17,794
Output tokens (2 years)4.36B
☁️ 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 (145 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

Qwen-AgentWorld-35B-A3B4x AMD Radeon AI PRO R9700Qwen-AgentWorld-35B-A3BNVIDIA GeForce RTX 5090Qwen-AgentWorld-35B-A3BNVIDIA RTX PRO 6000 Blackwell Workstation EditionQwen-AgentWorld-35B-A3B3x 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.