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Devstral-Small-2-24B-Instruct-2512

Performance benchmark · measured on 27.08.2026 02:36

Benchmark-IDrun-20260827-010401-963b72
Timebench 3 - Kombi (Prefill + Generation)Dense24BRuntime: vLLMQuantisierung: AWQ
Generation168,80tok/s
Prefill4.187,43tok/s
Time to First Token3.261,50ms
Total duration67,40s
Concurrency5parallel
Ranking in the field
70of 101 systems

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

This run is better than 31 % of all comparable systems.
Generation 168,8 tok/s
-20 % vs Ø 212,0
Prefill 4.187,4 tok/s
-47 % vs Ø 7.957,5
Time to First Token 3.262 ms
+6 % vs Ø 3.064
Distribution in the field24 – 632 tok/s
Ø 212 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: Devstral-Small-2-24B-Instruct-2512

Configuration

benchmark-konfiguration — run-20260827-010401-963b72
# LLM-Benchmark Konfiguration # Modell : Devstral-Small-2-24B-Instruct-2512 # Engine : vLLM # Run-ID : run-20260827-010401-963b72 # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model Devstral-Small-2-24B-Instruct-2512
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.Devstral-Small-2-24B-Instruct-2512

All benchmarks of this model To leaderboard

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Model comparison

Devstral-Small-2-24B-Instruct-2512 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

9417064712350,003.3986.79610.193Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 725,6 tok/s Generation, 8.070 tok/s Prefill, TTFT 3.939 ms (6 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 620,3 tok/s Generation, 6.308 tok/s Prefill, TTFT 6.898 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 569,7 tok/s Generation, 8.224 tok/s Prefill, TTFT 7.901 ms (9 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 3090 Ti - 331,6 tok/s Generation, 4.022 tok/s Prefill, TTFT 10.336 ms (5 Laufe)NVIDIA GeForce RTX 30...AMD Radeon AI PRO R9700 - 206,3 tok/s Generation, 2.714 tok/s Prefill, TTFT 13.109 ms (15 Laufe)AMD Radeon AI PRO R97...AMD Radeon PRO W7900 Dual Slot - 152,1 tok/s Generation, 1.715 tok/s Prefill, TTFT 7.815 ms (13 Laufe)AMD Radeon PRO W7900 ...NVIDIA GeForce RTX 5070 Ti - 108,5 tok/s Generation, 1.619 tok/s Prefill, TTFT 37.385 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA Tesla P100 PCIe 16GB - 23,3 tok/s Generation, 235 tok/s Prefill, TTFT 34.419 ms (2 Laufe)NVIDIA Tesla P100 PCI...AMD Radeon 8060S Graphics - 8,9 tok/s Generation, 22 tok/s Prefill, TTFT 906 ms (2 Laufe)AMD Radeon 8060S Grap...NVIDIA RTX A6000 - 277,8 tok/s Generation, 3.061 tok/s Prefill, TTFT 4.267 ms (9 Laufe) | DIESER LAUF★ NVIDIA RTX A6000
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 725,6 tok/sNVIDIA GeForce RTX 5090 620,3 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 569,7 tok/sNVIDIA GeForce RTX 3090 Ti 331,6 tok/s★ NVIDIA RTX A6000 277,8 tok/s this runAMD Radeon AI PRO R9700 206,3 tok/sAMD Radeon PRO W7900 Dual Slot 152,1 tok/sNVIDIA GeForce RTX 5070 Ti 108,5 tok/sNVIDIA Tesla P100 PCIe 16GB 23,3 tok/sAMD Radeon 8060S Graphics 8,9 tok/s

CPUby processor

9417064712350,003.3986.79610.193Prefill (tok/s)Generation (tok/s)AMD Ryzen 9 9950X 16-Core Processor - 725,6 tok/s Generation, 8.070 tok/s Prefill, TTFT 3.939 ms (6 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen 7 5800X3D 8-Core Processor - 620,3 tok/s Generation, 6.308 tok/s Prefill, TTFT 6.898 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen Threadripper PRO 9965WX 24-Cores - 569,7 tok/s Generation, 8.224 tok/s Prefill, TTFT 7.901 ms (9 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 331,6 tok/s Generation, 3.668 tok/s Prefill, TTFT 14.010 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD Ryzen 5 5600X 6-Core Processor - 247,7 tok/s Generation, 4.553 tok/s Prefill, TTFT 4.826 ms (2 Laufe)AMD Ryzen 5 5600X 6-C...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 152,1 tok/s Generation, 1.697 tok/s Prefill, TTFT 13.360 ms (16 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 7945HX with Radeon Graphics - 23,3 tok/s Generation, 235 tok/s Prefill, TTFT 34.419 ms (2 Laufe)AMD Ryzen 9 7945HX wi...AMD RYZEN AI MAX+ 395 w/ Radeon 8060S - 8,9 tok/s Generation, 22 tok/s Prefill, TTFT 906 ms (2 Laufe)AMD RYZEN AI MAX+ 395...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 277,8 tok/s Generation, 2.844 tok/s Prefill, TTFT 9.793 ms (24 Laufe) | DIESER LAUF★ AMD Ryzen Threadrippe...
AMD Ryzen 9 9950X 16-Core Processor 725,6 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 620,3 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 569,7 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 331,6 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 277,8 tok/s this runAMD Ryzen 5 5600X 6-Core Processor 247,7 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 152,1 tok/sAMD Ryzen 9 7945HX with Radeon Graphics 23,3 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 8,9 tok/s

MBby mainboard

9417064712350,003.3346.66810.003Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 725,6 tok/s Generation, 8.070 tok/s Prefill, TTFT 3.939 ms (6 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 620,3 tok/s Generation, 6.308 tok/s Prefill, TTFT 6.898 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 331,6 tok/s Generation, 3.668 tok/s Prefill, TTFT 14.010 ms (3 Laufe)Meigao Innovation Tec...ASUSTeK COMPUTER INC. PRIME A520M-K - 247,7 tok/s Generation, 4.553 tok/s Prefill, TTFT 4.826 ms (2 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 152,1 tok/s Generation, 1.697 tok/s Prefill, TTFT 13.360 ms (16 Laufe)ASUSTeK COMPUTER INC....Shenzhen Meigao Electronic Equipment Co.,Ltd F1FXM (DeskMini Series) - 23,3 tok/s Generation, 235 tok/s Prefill, TTFT 34.419 ms (2 Laufe)Shenzhen Meigao Elect...Meigao Innovation Technology (Shen Zhen) Co., Ltd SHWSA (MS-S1 MAX) - 8,9 tok/s Generation, 22 tok/s Prefill, TTFT 906 ms (1 Lauf)Meigao Innovation Tec...Bosgame AXB35-02 (BeyondMax Series) - 8,9 tok/s Generation, 22 tok/s Prefill, TTFT 906 ms (1 Lauf)Bosgame AXB35-02 (Bey...ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 569,7 tok/s Generation, 4.311 tok/s Prefill, TTFT 9.277 ms (33 Laufe) | DIESER LAUF★ ASUSTeK COMPUTER INC....
ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 725,6 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 620,3 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 569,7 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 331,6 tok/sASUSTeK COMPUTER INC. PRIME A520M-K 247,7 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 152,1 tok/sShenzhen Meigao Electronic Equipment Co.,Ltd F1FXM (DeskMini Series) 23,3 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd SHWSA (MS-S1 MAX) 8,9 tok/sBosgame AXB35-02 (BeyondMax Series) 8,9 tok/s

ENGby engine

89469048728379,61.2033.0924.9806.869Prefill (tok/s)Generation (tok/s)llama.cpp - 645,1 tok/s Generation, 3.799 tok/s Prefill, TTFT 11.894 ms (55 Laufe)llama.cppunbekannt - 247,7 tok/s Generation, 2.212 tok/s Prefill, TTFT 2.889 ms (6 Laufe)unbekanntvLLM - 725,6 tok/s Generation, 5.861 tok/s Prefill, TTFT 2.504 ms (6 Laufe) | DIESER LAUF★ vLLM
★ vLLM 725,6 tok/s this runllama.cpp 645,1 tok/sunbekannt 247,7 tok/s

DRVby driver

9417064712350,001.6603.3204.980Prefill (tok/s)Generation (tok/s)unbekannt - 725,6 tok/s Generation, 4.020 tok/s Prefill, TTFT 10.776 ms (63 Laufe)unbekanntAMD 7.0.0-27-generic - 29,4 tok/s Generation, 1.380 tok/s Prefill, TTFT 2.259 ms (3 Laufe)AMD 7.0.0-27-genericROCm 7.2.0 - 8,9 tok/s Generation, 22 tok/s Prefill, TTFT 906 ms (1 Lauf)ROCm 7.2.0
unbekannt 725,6 tok/sAMD 7.0.0-27-generic 29,4 tok/sROCm 7.2.0 8,9 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 80 W
⚡ TDP 371 W
☁️ External LLM (API)
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 0.18
Token / kWh1.64M
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)10.65B
☁️ 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

Devstral-Small-2-24B-Instruct-2512NVIDIA RTX A6000Devstral-Small-2-24B-Instruct-2512NVIDIA RTX PRO 6000 Blackwell Workstation EditionDevstral-Small-2-24B-Instruct-2512NVIDIA RTX PRO 6000 Blackwell Workstation EditionDevstral-Small-2-24B-Instruct-2512NVIDIA 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.