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Contributed byMario AlkaQwen (Alibaba)

Qwen3.6-35B-A3B

Performance benchmark · measured on 17.08.2026 11:19

Benchmark-IDrun-20260817-120413-5670bd
Timebench 3 - Kombi (Prefill + Generation)MoE35BRuntime: llama.cppQuantisierung: UD-Q4_K_M
Generation222,82tok/s
Prefill4.205,21tok/s
Time to First Token4.901,00ms
Total duration20,44s
Concurrency10parallel
Ranking in the field
27of 197 systems

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

This run is better than 87 % of all comparable systems.
Generation 222,8 tok/s
+82 % vs Ø 122,1
Prefill 4.205,2 tok/s
+90 % vs Ø 2.213,5
Time to First Token 4.901 ms
-96 % vs Ø 118.569
Distribution in the field0 – 667 tok/s
Ø 122 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

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: llama.cpp
Quantization: UD-Q4_K_M
Model: Qwen3.6-35B-A3B

Configuration

benchmark-konfiguration — run-20260817-120413-5670bd
# LLM-Benchmark Konfiguration # Modell : Qwen3.6-35B-A3B # Engine : llama.cpp # Run-ID : run-20260817-120413-5670bd # GPU : 4x AMD Radeon AI PRO R9700 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ llama-server \ --model Qwen3.6-35B-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.Qwen3.6-35B-A3B

All benchmarks of this model To leaderboard

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Model comparison

Qwen3.6-35B-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

1.9351.4519674840,005.20710.41415.621Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 1.489,1 tok/s Generation, 12.607 tok/s Prefill, TTFT 2.168 ms (6 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 1.409,4 tok/s Generation, 4.912 tok/s Prefill, TTFT 4.113 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 1.367,3 tok/s Generation, 6.432 tok/s Prefill, TTFT 4.005 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 852,0 tok/s Generation, 3.423 tok/s Prefill, TTFT 7.930 ms (9 Laufe)NVIDIA GeForce RTX 30...AMD Radeon PRO W7900 Dual Slot - 296,2 tok/s Generation, 3.120 tok/s Prefill, TTFT 4.797 ms (18 Laufe)AMD Radeon PRO W7900 ...NVIDIA GB10 (DGX Spark) - 167,1 tok/s Generation, 4.210 tok/s Prefill, TTFT 1.687 ms (8 Laufe)NVIDIA GB10 (DGX Spar...NVIDIA GeForce RTX 5070 Ti - 142,9 tok/s Generation, 499 tok/s Prefill, TTFT 32.007 ms (6 Laufe)NVIDIA GeForce RTX 50...Intel Arc Pro B70 - 124,5 tok/s Generation, 578 tok/s Prefill, TTFT 5.272 ms (7 Laufe)Intel Arc Pro B70AMD Radeon 8060S Graphics - 98,3 tok/s Generation, 863 tok/s Prefill, TTFT 9.646 ms (13 Laufe)AMD Radeon 8060S Grap...CPU-only - 4,3 tok/s Generation, 62 tok/s Prefill, TTFT 31.435 ms (1 Lauf)CPU-onlyAMD Radeon AI PRO R9700 - 271,4 tok/s Generation, 3.025 tok/s Prefill, TTFT 22.003 ms (32 Laufe) | DIESER LAUF★ AMD Radeon AI PRO R97...
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.489,1 tok/sNVIDIA GeForce RTX 5090 1.409,4 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.367,3 tok/sNVIDIA GeForce RTX 3090 Ti 852,0 tok/sAMD Radeon PRO W7900 Dual Slot 296,2 tok/s★ AMD Radeon AI PRO R9700 271,4 tok/s this runNVIDIA GB10 (DGX Spark) 167,1 tok/sNVIDIA GeForce RTX 5070 Ti 142,9 tok/sIntel Arc Pro B70 124,5 tok/sAMD Radeon 8060S Graphics 98,3 tok/sCPU-only 4,3 tok/s

CPUby processor

1.9351.4519674840,005.20710.41415.621Prefill (tok/s)Generation (tok/s)AMD Ryzen 9 9950X 16-Core Processor - 1.489,1 tok/s Generation, 12.607 tok/s Prefill, TTFT 2.168 ms (6 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 1.409,4 tok/s Generation, 4.912 tok/s Prefill, TTFT 4.113 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 1.367,3 tok/s Generation, 6.432 tok/s Prefill, TTFT 4.005 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 852,0 tok/s Generation, 3.431 tok/s Prefill, TTFT 6.717 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen 5 5600X 6-Core Processor - 830,5 tok/s Generation, 3.419 tok/s Prefill, TTFT 8.537 ms (6 Laufe)AMD Ryzen 5 5600X 6-C...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 296,2 tok/s Generation, 2.465 tok/s Prefill, TTFT 11.600 ms (24 Laufe)AMD Ryzen Threadrippe...NVIDIA Grace - 167,1 tok/s Generation, 4.210 tok/s Prefill, TTFT 1.687 ms (8 Laufe)NVIDIA GraceAMD Ryzen 9 7945HX with Radeon Graphics - 124,5 tok/s Generation, 578 tok/s Prefill, TTFT 5.272 ms (7 Laufe)AMD Ryzen 9 7945HX wi...AMD RYZEN AI MAX+ 395 w/ Radeon 8060S - 98,3 tok/s Generation, 863 tok/s Prefill, TTFT 9.646 ms (13 Laufe)AMD RYZEN AI MAX+ 395...Intel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz - 4,3 tok/s Generation, 62 tok/s Prefill, TTFT 31.435 ms (1 Lauf)Intel(R) Xeon(R) CPU ...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 271,4 tok/s Generation, 3.025 tok/s Prefill, TTFT 22.003 ms (32 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 9 9950X 16-Core Processor 1.489,1 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.409,4 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.367,3 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 852,0 tok/sAMD Ryzen 5 5600X 6-Core Processor 830,5 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 296,2 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 271,4 tok/s this runNVIDIA Grace 167,1 tok/sAMD Ryzen 9 7945HX with Radeon Graphics 124,5 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 98,3 tok/sIntel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz 4,3 tok/s

MBby mainboard

1.9351.4519674840,005.20710.41415.621Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 1.489,1 tok/s Generation, 12.607 tok/s Prefill, TTFT 2.168 ms (6 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 1.409,4 tok/s Generation, 4.912 tok/s Prefill, TTFT 4.113 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 852,0 tok/s Generation, 3.431 tok/s Prefill, TTFT 6.717 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. PRIME A520M-K - 830,5 tok/s Generation, 3.419 tok/s Prefill, TTFT 8.537 ms (6 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 296,2 tok/s Generation, 2.465 tok/s Prefill, TTFT 11.600 ms (24 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. GX10 - 167,1 tok/s Generation, 4.210 tok/s Prefill, TTFT 1.687 ms (8 Laufe)ASUSTeK COMPUTER INC....Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series) - 124,5 tok/s Generation, 578 tok/s Prefill, TTFT 5.272 ms (7 Laufe)Shenzhen Meigao Elect...Bosgame AXB35-02 (BeyondMax Series) - 98,3 tok/s Generation, 863 tok/s Prefill, TTFT 9.646 ms (13 Laufe)Bosgame AXB35-02 (Bey...Dell Inc. PowerEdge R820 - 4,3 tok/s Generation, 62 tok/s Prefill, TTFT 31.435 ms (1 Lauf)Dell Inc. PowerEdge R...ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 1.367,3 tok/s Generation, 3.773 tok/s Prefill, TTFT 17.954 ms (41 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.489,1 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.409,4 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.367,3 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 852,0 tok/sASUSTeK COMPUTER INC. PRIME A520M-K 830,5 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 296,2 tok/sASUSTeK COMPUTER INC. GX10 167,1 tok/sShenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series) 124,5 tok/sBosgame AXB35-02 (BeyondMax Series) 98,3 tok/sDell Inc. PowerEdge R820 4,3 tok/s

ENGby engine

1.7701.4651.1608555502.5323.2263.9214.616Prefill (tok/s)Generation (tok/s)vLLM - 952,8 tok/s Generation, 4.157 tok/s Prefill, TTFT 6.631 ms (30 Laufe)vLLMunbekannt - 830,5 tok/s Generation, 2.991 tok/s Prefill, TTFT 5.522 ms (10 Laufe)unbekanntllama.cpp - 1.489,1 tok/s Generation, 3.186 tok/s Prefill, TTFT 14.737 ms (72 Laufe) | DIESER LAUF★ llama.cpp
★ llama.cpp 1.489,1 tok/s this runvLLM 952,8 tok/sunbekannt 830,5 tok/s

DRVby driver

1.9201.4409604800,001.7053.4115.116Prefill (tok/s)Generation (tok/s)unbekannt - 1.489,1 tok/s Generation, 3.623 tok/s Prefill, TTFT 13.544 ms (93 Laufe)unbekanntNVIDIA 590.48.01 / CUDA 13.1 - 167,1 tok/s Generation, 4.210 tok/s Prefill, TTFT 1.687 ms (8 Laufe)NVIDIA 590.48.01 / CU...Intel 26.18.38308.4 - 124,5 tok/s Generation, 578 tok/s Prefill, TTFT 5.272 ms (7 Laufe)Intel 26.18.38308.4AMD 7.0.0-27-generic - 79,4 tok/s Generation, 2.349 tok/s Prefill, TTFT 1.000 ms (4 Laufe)AMD 7.0.0-27-generic
unbekannt 1.489,1 tok/sNVIDIA 590.48.01 / CUDA 13.1 167,1 tok/sIntel 26.18.38308.4 124,5 tok/sAMD 7.0.0-27-generic 79,4 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 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 0.48
Token / kWh631.12K
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)14.05B
☁️ 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

Qwen3.6-35B-A3B4x AMD Radeon AI PRO R9700Qwen3.6-35B-A3BNVIDIA RTX PRO 6000 Blackwell Workstation EditionQwen3.6-35B-A3BNVIDIA GeForce RTX 5090Qwen3.6-35B-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.