Alibaba Qwen · 9B total / 9B active · dense

Best hardware to run Qwen3.5 9B locally

Qwen3.5 9B needs about 7 GB at Q4_K_M. 17 of the 17 priced rigs we track can hold it. Here's the cheapest, the best value and the fastest. Prices & stock checked 2026-10-23. Prices change daily and some retailers block our checker, so always confirm on the store page.

Our picks

Mac miniAvailable

Mac mini M5 Pro

15-core CPU / 16-core GPU, 24GB

$1,699at Apple Store

Cheapest that fits. Lowest price we've seen on any tracked rig that holds Qwen3.5 9B at 4-bit (7 of 17 GB usable).

Fits~48 tok/sQ4_K_M

Suggested quant: Q8_0 (~28 tok/s)

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Mac StudioAvailable

Mac Studio M5 Max

18-core CPU / 40-core GPU, 48GB

$3,099at Apple Store

Best value. Lowest price per token/sec among complete systems where it fits comfortably: about $34 per tok/s at 4-bit.

Fits~90 tok/sQ4_K_M

Suggested quant: Q8_0 (~54 tok/s)

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RTX 5090In stock

NVIDIA GeForce RTX 5090 Founders Edition

32GB card

$8,500at Newegg

Fastest. Most memory bandwidth of the rigs that fit it (1,792 GB/s), so the quickest decode: ~214 tok/s at 4-bit.

Fits~214 tok/sQ4_K_M

Suggested quant: Q8_0 (~135 tok/s)

GPU price is card only: you still need a host PC.

Check price

Which quant to use

Use Q4_K_M on most rigs: it needs ~7 GB. Q8_0 (~12 GB) is a bit more accurate and fits comfortably on 17 of these rigs, e.g. the Mac mini M5 Pro.

Every rig that fits it

MachinePrice4-bit fit & speedSuggested quant$ per tok/s
Mac mini M5 ProMac mini$1,699
Fits~48 tok/s
Q8_0$36
GMKtec EVO-X2Strix Halo$2,200
Fits~37 tok/s
Q8_0$59
Mac Studio M5 MaxMac Studio$2,499
Fits~70 tok/s
Q8_0$36
Mac Studio M5 MaxMac Studio$3,099
Fits~90 tok/s
Q8_0$34
Framework Desktop DIYStrix Halo$3,449
Fits~37 tok/s
Q8_0$92
GMKtec EVO-X2Strix Halo$3,500
Fits~37 tok/s
Q8_0$94
Minisforum MS-S1 MaxStrix Halo$3,919
Fits~37 tok/s
Q8_0$105
Beelink GTR9 ProStrix Halo$4,349
Fits~37 tok/s
Q8_0$116
Gigabyte GeForce RTX 4090 Windforce V2RTX 4090 (card only, needs a host PC)$4,899
Fits~133 tok/s
Q8_0$37
Mac Studio M5 UltraMac Studio$5,499
Fits~139 tok/s
Q8_0$40
Lenovo ThinkStation PGXDGX Spark / GB10$5,859
Fits~39 tok/s
Q8_0$152
ASUS Ascent GX10DGX Spark / GB10$5,999
Fits~39 tok/s
Q8_0$156
NVIDIA DGX SparkDGX Spark / GB10$6,950
Fits~39 tok/s
Q8_0$180
HP ZGX Nano G1nDGX Spark / GB10$7,699
Fits~39 tok/s
Q8_0$200
Gigabyte AI TOP ATOMDGX Spark / GB10$8,499
Fits~39 tok/s
Q8_0$221
NVIDIA GeForce RTX 5090 Founders EditionRTX 5090 (card only, needs a host PC)$8,500
Fits~214 tok/s
Q8_0$40
PNY NVIDIA RTX PRO 6000 BlackwellRTX PRO 6000 (card only, needs a host PC)$17,899
Fits~214 tok/s
Q8_0$84

Sorted by lowest price. Speeds are estimated single-user decode at ~8K context. Full fit table, including rigs that don't fit: Qwen3.5 9B memory requirements. How we estimate

FAQ

How much memory does Qwen3.5 9B need?

About 7 GB at Q4_K_M and 12 GB at Q8_0, including runtime overhead and ~8K tokens of context for one user. Longer context needs more.

What's the cheapest hardware to run Qwen3.5 9B locally?

Of the rigs we track, the Mac mini M5 Pro at $1,699, estimated ~48 tok/s at 4-bit. Prices checked 2026-10-23.

Which quant should I use for Qwen3.5 9B?

Q4_K_M is the default: about 7 GB. Q8_0 needs about 12 GB; use it only if you have the room and still get usable speed.

How fast does Qwen3.5 9B run?

It has 9B active parameters per token, so speed is set by memory bandwidth: from ~37 tok/s on the slowest rig that fits to ~214 tok/s on the NVIDIA GeForce RTX 5090 Founders Edition. Estimates, not benchmarks.

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