Mac Studio M5 Max vs GMKtec EVO-X2 in 2026: The Fastest 128GB Box vs the Cheapest One

By RunAIHome Team · 11 min read
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TL;DR: The Mac Studio M5 Max 128GB ($5,099–$5,399) and the GMKtec EVO-X2 128GB ($2,200–$3,650, repricing weekly) hold the same models; the Mac decodes them roughly 2.8× faster — ~88 vs ~31 tok/s on gpt-oss 120B — because 614 GB/s beats 256 GB/s. You’re paying $1,750–$3,200 for speed, macOS, and resale value, not capacity.

Mac Studio M5 Max 128GBGMKtec EVO-X2 128GBUsed RTX 3090 24GB
Best forFastest one-box decode on 100B+ MoEMost capacity per dollarFastest sub-32B, lowest entry price
Memory / bandwidth128GB @ 614 GB/s128GB @ 256 GB/s24GB @ 936 GB/s
Price (Sep 2026)$5,099 (512GB SSD) / $5,399 (1TB)$3,649.99 Amazon; $2,199.99 as recently as Sep 20$1,150–$1,350 (card only)
The catchApple’s $2,000 memory step; weak prefill vs CUDA~31 tok/s ceiling on 120B; volatile pricingCan’t hold 70B+ resident at all

Honest take: If you’ll actually sit in front of 100B-class models daily, buy the Mac — 88 tok/s vs 31 tok/s is the difference between interactive and waiting, and no EVO-X2 price makes waiting fun. If the workload is occasional, grab the EVO-X2 only when a listing dips near $2,200; at $3,650 it’s too close to Mac money for a third of the speed.

Two machines currently define the edges of the 128GB unified-memory class. The Mac Studio M5 Max (shipping since September 22, 2026) is the fastest way to run 60–120GB models in one quiet box. The GMKtec EVO-X2 (AMD Ryzen AI Max+ 395, Strix Halo) has spent most of 2026 as the cheapest. We’ve compared each against NVIDIA’s DGX Spark — the Mac vs Spark and Strix Halo vs Spark — but never against each other, and that head-to-head is the one most readers are actually deciding. Before you anchor on either, check your real model + context needs in the VRAM calculator.

Same capacity, very different pipes

Both machines exist for one reason: running models that don’t fit a 24GB or 32GB GPU — gpt-oss 120B, GLM-class MoE, dense 70B, Qwen3-235B-A22B at aggressive quants. On capacity they’re identical. On everything after the model loads, they’re not.

The EVO-X2’s Ryzen AI Max+ 395 feeds its Radeon 8060S iGPU through LPDDR5X-8000 at 256 GB/s. The M5 Max’s 40-core GPU gets 614 GB/s — 2.4× the bandwidth — and the M5 generation added a Neural Accelerator to every GPU core, which Apple says delivers up to 4× faster LLM prompt processing than the M4 generation.

Token generation on large models is memory-bandwidth-bound, so the decode gap tracks the pipe, not marketing:

WorkloadEVO-X2 (256 GB/s)Mac Studio M5 Max (614 GB/s)
gpt-oss 120B (MXFP4) decode~31 tok/s at 120–128W~88 tok/s (MLX)
Llama 3.3 70B dense (Q4/Q6) decode~5 tok/s25–32 tok/s (MLX)
30B-class MoE (~3B active)70–100 tok/scomfortably faster; both feel instant
Qwen3-235B-A22B (Q3, ~101GB)~11 tok/snot yet independently benchmarked — expect roughly 2–2.4× from bandwidth

Sources: the EVO-X2 numbers come from ServeTheHome’s load-tested review of the same silicon and the community benchmarks we compiled in the Framework Desktop comparison; the M5 Max figures are from the MLX benchmark roundups at LLM Check and The Byte Lab (links below). Human reading speed is roughly 7–10 tok/s, so both boxes are “usable” on 120B MoE — but 31 tok/s means watching a long agentic generation crawl for a minute-plus, while 88 tok/s means it’s done before your coffee needs a refill. On dense 70B the gap is starker: ~5 tok/s is start-it-and-walk-away; 25–32 tok/s is a conversation.

Prefill is the shared weakness, and the Mac is less weak. Strix Halo processes the gpt-oss 120B prompt at roughly 340 tok/s. The M5 Max lands around 575–650 tok/s on the same model — still about 3× behind a DGX Spark’s CUDA prefill (~1,720 tok/s), but roughly 1.8× ahead of the EVO-X2. If your workload is 32K-token RAG prompts or full-repo agentic coding, time-to-first-token favors the Mac on every turn; if it’s chat-length prompts, prefill is a rounding error on both.

The price gap moved $1,450 in one week

This is the part that changed since our last Strix Halo article — and it cuts against the EVO-X2.

Through September 20, the EVO-X2 128GB/2TB sat at $2,199.99 on Amazon (PriceHistory tracking). By September 26 the same listing read $3,649.99, with the 128GB/1TB variant at $3,499 — a $1,450 jump in under a week. PriceHistory’s chart for the listing now shows a $2,199.98 low, a $2,921 average, and the current price as the all-time high. That squares with the launch context: the 128GB config debuted at $3,500 territory, and the sub-$2,200 prices of mid-2026 were channel inventory bought before DRAM repriced everything — the same memory supercycle that has repriced the whole category. GMKtec’s own store has flipped between $3,499+ and promotional $2,199.99 pricing depending on the week. The honest guidance: check both Amazon and GMKtec direct on the day you buy, and treat anything near $2,200 as a closing window, not a market price.

The Mac’s price is at least boring. The 128GB config requires the 40-core GPU tier ($3,099 with 48GB) plus Apple’s $2,000 memory step: $5,099 with the 512GB SSD, $5,399 with 1TB (Apple’s configurator, September 2026). Nobody discounts it, and nobody surges it either.

So the real-world delta is somewhere between $1,750 (EVO-X2 at today’s Amazon price vs the 512GB Mac) and $3,200 (if you catch a $2,200 EVO-X2 listing). The comparison used to be “a third of the price for a third of the speed.” At current Amazon pricing it’s “70% of the price for a third of the speed” — which is a much worse trade.

What the Apple premium actually buys

Speed you feel every session. 2.8× on the 120B MoE decode, 5–6× on dense 70B. This isn’t a benchmark abstraction — it’s every reroll, every agent loop, every long generation.

MLX and a first-party stack. The MLX ecosystem is now the smoothest non-CUDA path in local AI: Ollama’s MLX backend is default on 32GB+ Macs, quantized checkpoints appear on Hugging Face within days of release, and it all works without kernel flags. The EVO-X2 path (ROCm 7.x or Vulkan on Linux, or the capped Windows experience) works — we run it — but you become your own integrator.

A computer, not an appliance. The Studio is near-silent under load (~90W package power on M5 Max inference runs vs 120–128W for the EVO-X2 at its louder fan curve), drives your displays, and holds resale value the way Shenzhen mini PCs don’t. Three years from now the Mac is a used Mac; the mini PC is a used mini PC.

What it doesn’t buy: capacity. Both machines hold the same ~120GB of usable model weights. If your goal is “run the biggest thing possible per dollar,” the EVO-X2 at any price under $3,000 still wins, full stop.

The setup tax on the EVO-X2 (budget one evening)

Whichever Strix Halo box you buy, the GPU won’t see the full 128GB out of the box. Windows caps dedicated graphics memory at 96GB; on Linux, the default kernel GTT limit strands roughly half the pool, so 64GB+ models fail with out-of-memory errors while free -h shows plenty. The fix is two kernel parameters in /etc/default/grub:

GRUB_CMDLINE_LINUX_DEFAULT="quiet splash ttm.pages_limit=31457280 amdgpu.gttsize=120000"

then sudo update-grub && sudo reboot, and verify:

$ sudo dmesg | grep "amdgpu.*GTT"
[    3.211] [drm] amdgpu: 120000M of GTT memory ready.

AMD documents the tuning in its Strix Halo system-optimization guide. The Mac has no equivalent step — ollama run allocates from unified memory day one. That difference is worth zero dollars to a Linux veteran and quite a lot to everyone else.

What to actually buy

Prices as of September 2026, all taken from the comparison above:

Your situationThe machinePriceWhere
You run 100B+ MoE or dense 70B daily and decode speed is the productMac Studio M5 Max, 40-core GPU, 128GB$5,099–$5,399Check price
You want maximum model capacity per dollar and tolerate ~31 tok/sGMKtec EVO-X2 128GB/2TB$2,200–$3,650 (volatile — verify)Check price
Everything you actually run fits in 24GBUsed RTX 3090$1,150–$1,350Check price
Undecided — test your real workload on rented hardware firstRented GPU on Vast.aifrom $0.07/hrCheck availability

The third row matters more than it looks: a used RTX 3090 has 936 GB/s — more bandwidth than either unified-memory box — and runs everything up to ~32B three times faster than the EVO-X2. The 128GB machines only earn their price when you genuinely need 70B+ dense or 100GB+ MoE resident. Our 128GB model guide lists exactly what unlocks at this tier, and the 24/7 power math covers the always-on cost side. If you’re pairing either box with a local coding agent, the BYOK setup notes at aicoderscope.com apply unchanged to both.

FAQ

Is the Mac Studio M5 Max really 3× faster than the EVO-X2 for local LLMs? On decode, close to it: ~88 vs ~31 tok/s on gpt-oss 120B, 25–32 vs ~5 tok/s on dense 70B. Decode is bandwidth-bound and the Mac has 614 GB/s to the EVO-X2’s 256 GB/s. On prompt processing the gap narrows to roughly 1.8×.

Why did the EVO-X2 get so expensive? DRAM. LPDDR5X repriced upward through 2026 and the sub-$2,200 listings were pre-surge channel inventory. Amazon’s 128GB/2TB listing went $2,199.99 → $3,649.99 between September 20 and 26, 2026. The identical-silicon Framework Desktop is $3,449 without SSD or OS, so the EVO-X2 at $3,650 with 2TB and Windows is still the category’s price floor — just a much higher floor.

Does the EVO-X2 run the same models as the Mac? Yes — same 128GB pool, so the same GGUF/quant sizes fit (after the GTT fix above on Linux). The difference is speed and stack: MLX + Metal on the Mac, ROCm/Vulkan on Strix Halo.

What about the DGX Spark instead of either? The Spark ($4,699) sits between them: Spark-level decode is ~toe-to-toe with Strix Halo (~35–39 tok/s on gpt-oss 120B) but its CUDA prefill (~1,720 tok/s) crushes both, and it’s the only one of the three that fine-tunes first-class. If your workload is training or 50K-token prompts, read the Spark vs Mac comparison before buying either box here.

Should I wait for prices to come back down? No forecaster we track expects DRAM relief before late 2027, and this category is pure DRAM. Waiting has been losing all year: the EVO-X2’s own history (launch $1,999 → avg $2,921 → $3,649) is the argument. Buy on a dip or buy the speed — don’t wait for 2025 prices.

Sources

Last updated September 27, 2026. Prices and specs change — the numbers above were live-checked this week, but verify current rates before purchasing.

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