Budget guide · 70B models

Cheapest way to run a 70B model locally

The cheapest rig we track that holds Llama 3.3 70B at 4-bit (~46 GB) is the GMKtec EVO-X2 at $2,200 (64 GB, ~5 tok/s, tight fit). Best price per token/sec: Mac Studio M5 Ultra ($5,499, ~23 tok/s). Fastest: PNY NVIDIA RTX PRO 6000 Blackwell at ~34 tok/s for $17,899 (card only, needs a host PC). A dense 70B reads all its weights for every token, so speed follows memory bandwidth almost exactly. Prices & stock checked 2026-10-24. Prices change daily and some retailers block our checker, so always confirm on the store page.

Every tracked rig that runs Llama 3.3 70B, cheapest first

MachinePriceMemoryBandwidth4-bit fit & est. speed$ per tok/s
GMKtec EVO-X2Strix Halo$2,20064 GB256 GB/s
Tight fit~5 tok/s
$456.09
GMKtec EVO-X2Strix Halo$3,500128 GB256 GB/s
Fits~5 tok/s
$725.60
Minisforum MS-S1 MaxStrix Halo$3,919128 GB256 GB/s
Fits~5 tok/s
$812.46
Beelink GTR9 ProStrix Halo$4,349128 GB256 GB/s
Fits~5 tok/s
$901.61
Framework Desktop DIYStrix Halo$4,839128 GB256 GB/s
Fits~5 tok/s
$1,003
Mac Studio M5 UltraMac Studio$5,49996 GB1,200 GB/s
Fits~23 tok/s
$241.41
Lenovo ThinkStation PGXDGX Spark / GB10$5,859128 GB273 GB/s
Fits~5 tok/s
$1,183
ASUS Ascent GX10DGX Spark / GB10$5,999128 GB273 GB/s
Fits~5 tok/s
$1,211
NVIDIA DGX SparkDGX Spark / GB10$6,950128 GB273 GB/s
Fits~5 tok/s
$1,403
HP ZGX Nano G1nDGX Spark / GB10$7,699128 GB273 GB/s
Fits~5 tok/s
$1,554
Gigabyte AI TOP ATOMDGX Spark / GB10$8,499128 GB273 GB/s
Fits~5 tok/s
$1,716
PNY NVIDIA RTX PRO 6000 BlackwellRTX PRO 6000 (card only, needs a host PC)$17,89996 GB1,792 GB/s
Fits~34 tok/s
$528.60

Llama 3.3 70B at Q4_K_M, ~8K context, one user. "$ per tok/s" = price ÷ our estimated speed. GPU cards are card-only prices. Too small for it: everything else we track, up to Mac Studio M5 Max (48 GB). How we estimate

Measured 70B runs

HardwareModel / runMeasured tok/sOur formulaSource
Strix Halo256 GB/sLlama 3.3 70B Q4_K_Mllama.cpp Vulkan tg1284.84.8source
M3 Ultra 80c819 GB/sLlama 3.3 70B 4-bitMLX (oMLX) 1K ctx17.016.8source
RTX PRO 60001,792 GB/sLlama 3.3 70B Q4_K_Mllama.cpp tg12834.033.8source
Framework Desktop (Strix Halo)256 GB/sLlama 3.1 70B Q4_K_MOllama (Geerling)5.04.8source
Dell Pro Max GB10273 GB/sLlama 3.1 70B Q4_K_MOllama (Geerling)4.74.9source
M3 Ultra 512GB819 GB/sLlama 3.1 70B Q4_K_MOllama (Geerling)14.115.7source

Public single-user decode results we calibrate against.

Cheapest options

Strix HaloAvailable

GMKtec EVO-X2

Ryzen AI Max+ 395, 64GB / 1TB

$2,200at GMKtec store

64 GB · 256 GB/s

Tight fit~5 tok/sLlama 3.3 70B
Check price
Strix HaloAvailable

GMKtec EVO-X2

Ryzen AI Max+ 395, 128GB / 1TB

$3,500at GMKtec store

128 GB · 256 GB/s

Fits~5 tok/sLlama 3.3 70B
Check price
Strix HaloPre-order

Beelink GTR9 Pro

Ryzen AI Max+ 395, 128GB / 2TB

$4,349at Beelink store

128 GB · 256 GB/s

Fits~5 tok/sLlama 3.3 70B
Check price

FAQ

What's the cheapest way to run a 70B model locally?

Of the rigs we track, the GMKtec EVO-X2 at $2,200 (GMKtec store, checked 2026-10-24). It has 64 GB, about 48 GB usable, and we estimate ~5 tok/s for Llama 3.3 70B at 4-bit.

How much memory does a 70B model need?

About 46 GB at 4-bit (Q4_K_M) and 80 GB at 8-bit, including ~8K context.

Can a single RTX 4090 or 5090 run Llama 70B?

Not fully in VRAM at 4-bit: 24 or 32 GB is well under the ~46 GB needed. You can offload layers to system RAM, but speed drops sharply. We don't track multi-GPU builds.

How fast is a 70B model on cheap hardware?

Public measurements: Strix Halo 4.8 tok/s; M3 Ultra 80c 17.0 tok/s; RTX PRO 6000 34.0 tok/s; Framework Desktop (Strix Halo) 5.0 tok/s; Dell Pro Max GB10 4.7 tok/s; M3 Ultra 512GB 14.1 tok/s. Unified-memory boxes around 256–273 GB/s land near 5 tok/s.

Is a 70B model worth it over a big MoE model?

On bandwidth-limited boxes, mixture-of-experts models like GPT-OSS 120B or Qwen3.5 122B-A10B fit in similar memory and run several times faster, because they read only their active parameters per token.

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