OpenAI · 117B total / 5.1B active · MoE

Best hardware to run GPT-OSS 120B locally

GPT-OSS 120B needs about 67 GB at MXFP4 (native). 11 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

Strix HaloOut of stock

Framework Desktop DIY

Ryzen AI Max+ 395, 128GB

$3,449at Framework store

Cheapest that fits. Lowest price we've seen on any tracked rig that holds GPT-OSS 120B at 4-bit (67 of 96 GB usable).

Fits~55 tok/sMXFP4 (native)
Check price
Strix HaloOut of stock

Framework Desktop DIY

Ryzen AI Max+ 395, 128GB

$3,449at Framework store

Best value. Lowest price per token/sec among complete systems where it fits comfortably: about $63 per tok/s at 4-bit. Same machine as the cheapest pick.

Fits~55 tok/sMXFP4 (native)
Check price
RTX PRO 6000Out of stock

PNY NVIDIA RTX PRO 6000 Blackwell

96GB card

$17,899at B&H Photo

Fastest. Most memory bandwidth of the rigs that fit it (1,792 GB/s), so the quickest decode: ~231 tok/s at 4-bit.

Fits~231 tok/sMXFP4 (native)

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

Check price

Which quant to use

Use MXFP4 (native) on most rigs: it needs ~67 GB. Q8_0 would need ~132 GB, which doesn't fit comfortably at a usable speed on anything we track. GPT-OSS 120B ships natively in MXFP4 (native), so that's the format to grab.

Every rig that fits it

MachinePrice4-bit fit & speedSuggested quant$ per tok/s
Framework Desktop DIYStrix Halo$3,449
Fits~55 tok/s
MXFP4 (native)$63
GMKtec EVO-X2Strix Halo$3,500
Fits~55 tok/s
MXFP4 (native)$64
Minisforum MS-S1 MaxStrix Halo$3,919
Fits~55 tok/s
MXFP4 (native)$72
Beelink GTR9 ProStrix Halo$4,349
Fits~55 tok/s
MXFP4 (native)$80
Mac Studio M5 UltraMac Studio$5,499
Tight fit~109 tok/s
MXFP4 (native)$51
Lenovo ThinkStation PGXDGX Spark / GB10$5,859
Fits~61 tok/s
MXFP4 (native)$95
ASUS Ascent GX10DGX Spark / GB10$5,999
Fits~61 tok/s
MXFP4 (native)$98
NVIDIA DGX SparkDGX Spark / GB10$6,950
Fits~61 tok/s
MXFP4 (native)$113
HP ZGX Nano G1nDGX Spark / GB10$7,699
Fits~61 tok/s
MXFP4 (native)$125
Gigabyte AI TOP ATOMDGX Spark / GB10$8,499
Fits~61 tok/s
MXFP4 (native)$138
PNY NVIDIA RTX PRO 6000 BlackwellRTX PRO 6000 (card only, needs a host PC)$17,899
Fits~231 tok/s
MXFP4 (native)$77

Sorted by lowest price. Speeds are estimated single-user decode at ~8K context. Full fit table, including rigs that don't fit: GPT-OSS 120B memory requirements. How we estimate

FAQ

How much memory does GPT-OSS 120B need?

About 67 GB at MXFP4 (native) and 132 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 GPT-OSS 120B locally?

Of the rigs we track, the Framework Desktop DIY at $3,449, estimated ~55 tok/s at 4-bit. Prices checked 2026-10-23.

Which quant should I use for GPT-OSS 120B?

MXFP4 (native) is the default: about 67 GB. Q8_0 needs about 132 GB; use it only if you have the room and still get usable speed.

How fast does GPT-OSS 120B run?

It has 5.1B active parameters per token, so speed is set by memory bandwidth: from ~55 tok/s on the slowest rig that fits to ~231 tok/s on the PNY NVIDIA RTX PRO 6000 Blackwell. Estimates, not benchmarks.

Related guides

Restock & price-drop alerts

One short email a week: what got cheaper, what's back in stock, and which new open models your machine can run. Unsubscribe anytime.