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Contributed byMario AlkaByteDance Seed

Seed-OSS-36B-Instruct

Performance benchmark · measured on 27.08.2026 00:19

Benchmark-IDrun-20260826-222255-910eff
Timebench 3 - Kombi (Prefill + Generation)36BRuntime: vLLMQuantisierung: AWQ
Generation182,38tok/s
Prefill3.458,04tok/s
Time to First Token9.610,50ms
Total duration132,76s
Concurrency10parallel
Ranking in the field
80of 100 systems

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

This run is better than 20 % of all comparable systems.
Generation 182,4 tok/s
-41 % vs Ø 307,5
Prefill 3.458,0 tok/s
-66 % vs Ø 10.134,0
Time to First Token 9.611 ms
+45 % vs Ø 6.613
Distribution in the field32 – 1.123 tok/s
Ø 307 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: 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: Seed-OSS-36B-Instruct

Configuration

benchmark-konfiguration — run-20260826-222255-910eff
# LLM-Benchmark Konfiguration # Modell : Seed-OSS-36B-Instruct # Engine : vLLM # Run-ID : run-20260826-222255-910eff # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Seed-OSS-36B-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.Seed-OSS-36B-Instruct

All benchmarks of this model To leaderboard

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Model comparison

Seed-OSS-36B-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

1.0918195462730,001.3192.6393.958Prefill (tok/s)Generation (tok/s)NVIDIA GeForce RTX 5090 - 839,7 tok/s Generation, 2.664 tok/s Prefill, TTFT 12.384 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 460,0 tok/s Generation, 3.141 tok/s Prefill, TTFT 10.624 ms (3 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 383,9 tok/s Generation, 3.193 tok/s Prefill, TTFT 13.087 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 111,6 tok/s Generation, 992 tok/s Prefill, TTFT 41.392 ms (3 Laufe)NVIDIA GeForce RTX 30...AMD Radeon AI PRO R9700 - 107,3 tok/s Generation, 693 tok/s Prefill, TTFT 114.241 ms (16 Laufe)AMD Radeon AI PRO R97...AMD Radeon PRO W7900 Dual Slot - 88,6 tok/s Generation, 680 tok/s Prefill, TTFT 17.557 ms (3 Laufe)AMD Radeon PRO W7900 ...NVIDIA GeForce RTX 5070 Ti - 39,2 tok/s Generation, 423 tok/s Prefill, TTFT 95.542 ms (3 Laufe)NVIDIA GeForce RTX 50...CPU-only - 1,0 tok/s Generation, 8 tok/s Prefill, TTFT 240.790 ms (1 Lauf)CPU-onlyNVIDIA RTX A6000 - 182,4 tok/s Generation, 1.736 tok/s Prefill, TTFT 8.972 ms (6 Laufe) | DIESER LAUF★ NVIDIA RTX A6000
NVIDIA GeForce RTX 5090 839,7 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 460,0 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 383,9 tok/s★ NVIDIA RTX A6000 182,4 tok/s this runNVIDIA GeForce RTX 3090 Ti 111,6 tok/sAMD Radeon AI PRO R9700 107,3 tok/sAMD Radeon PRO W7900 Dual Slot 88,6 tok/sNVIDIA GeForce RTX 5070 Ti 39,2 tok/sCPU-only 1,0 tok/s

CPUby processor

1.0918195462730,001.3192.6393.958Prefill (tok/s)Generation (tok/s)AMD Ryzen 7 5800X3D 8-Core Processor - 839,7 tok/s Generation, 2.664 tok/s Prefill, TTFT 12.384 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen 9 9950X 16-Core Processor - 460,0 tok/s Generation, 3.141 tok/s Prefill, TTFT 10.624 ms (3 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 383,9 tok/s Generation, 3.193 tok/s Prefill, TTFT 13.087 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 111,6 tok/s Generation, 992 tok/s Prefill, TTFT 41.392 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 88,6 tok/s Generation, 551 tok/s Prefill, TTFT 56.550 ms (6 Laufe)AMD Ryzen Threadrippe...Intel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz - 1,0 tok/s Generation, 8 tok/s Prefill, TTFT 240.790 ms (1 Lauf)Intel(R) Xeon(R) CPU ...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 182,4 tok/s Generation, 978 tok/s Prefill, TTFT 85.531 ms (22 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 7 5800X3D 8-Core Processor 839,7 tok/sAMD Ryzen 9 9950X 16-Core Processor 460,0 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 383,9 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 182,4 tok/s this runAMD Ryzen 9 8945HX with Radeon Graphics 111,6 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 88,6 tok/sIntel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz 1,0 tok/s

MBby mainboard

1.0918195462730,001.2982.5953.893Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 839,7 tok/s Generation, 2.664 tok/s Prefill, TTFT 12.384 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 460,0 tok/s Generation, 3.141 tok/s Prefill, TTFT 10.624 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 111,6 tok/s Generation, 992 tok/s Prefill, TTFT 41.392 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 88,6 tok/s Generation, 551 tok/s Prefill, TTFT 56.550 ms (6 Laufe)ASUSTeK COMPUTER INC....Dell Inc. PowerEdge R820 - 1,0 tok/s Generation, 8 tok/s Prefill, TTFT 240.790 ms (1 Lauf)Dell Inc. PowerEdge R...ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 383,9 tok/s Generation, 1.621 tok/s Prefill, TTFT 64.499 ms (31 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 839,7 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 460,0 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 383,9 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 111,6 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 88,6 tok/sDell Inc. PowerEdge R820 1,0 tok/s

ENGby engine

1.0557915282640,01.1861.7282.2712.813Prefill (tok/s)Generation (tok/s)llama.cpp - 839,7 tok/s Generation, 1.511 tok/s Prefill, TTFT 62.640 ms (44 Laufe)llama.cppvLLM - 182,4 tok/s Generation, 2.488 tok/s Prefill, TTFT 5.529 ms (3 Laufe) | DIESER LAUF★ vLLM
llama.cpp 839,7 tok/s★ vLLM 182,4 tok/s this run

DRVby driver

9248828407987561.4791.5421.6051.668Prefill (tok/s)Generation (tok/s)unbekannt - 839,7 tok/s Generation, 1.573 tok/s Prefill, TTFT 58.995 ms (47 Laufe)unbekannt
unbekannt 839,7 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 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 0.032
Token / kWh9.25M
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)11.50B
☁️ 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

Seed-OSS-36B-InstructNVIDIA RTX A6000Seed-OSS-36B-InstructNVIDIA GeForce RTX 5090Seed-OSS-36B-InstructNVIDIA RTX PRO 6000 Blackwell Workstation EditionSeed-OSS-36B-Instruct3x 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.