FR

Buying guide · Apple

Best Mac for local LLMs: Mac mini vs Mac Studio

For local LLMs, the Mac Studio M5 Ultra 96GB ($5,499) is the Mac to buy if you want 70B–120B models; it runs GPT-OSS 120B at ~109 tok/s by our estimate. The Mac mini M5 Pro ($1,699) is the cheapest entry for 8B–20B models. Memory decides what fits; bandwidth decides speed.

Every Mac we track, by memory

MachinePriceStockMemoryBandwidthLargest model at 4-bit$ per GB
Mac mini M5 Pro$1,699Available24 GB~17 GB usable307 GB/sGPT-OSS 20B~82 tok/s$70.79
Mac Studio M5 Max 36GB$2,499Available36 GB~27 GB usable460 GB/sQwen3.6 35B-A3B~103 tok/s$69.42
Mac Studio M5 Max 48GB$3,099Available48 GB~36 GB usable614 GB/sQwen3.6 35B-A3B~116 tok/s$64.56
Mac Studio M5 Ultra 96GB$5,499Available96 GB~72 GB usable1,200 GB/sGPT-OSS 120B~109 tok/s$57.28
Mac Studio M5 Ultra 256GBnot pricedStock unknown256 GB~192 GB usable1,200 GB/sQwen3 235B-A22B~51 tok/s—

Estimated single-user decode at ~8K context; GPU-card figures assume the model is fully in VRAM. Prices checked 2026-10-25.

Which models fit on which Mac?

ModelMac mini M5 ProMac Studio M5 Max 36GBMac Studio M5 Max 48GBMac Studio M5 Ultra 96GBMac Studio M5 Ultra 256GB
Qwen3.5 9B~7 GB at Q4_K_M
Fits~48 tok/s
Fits~70 tok/s
Fits~90 tok/s
Fits~139 tok/s
Fits~139 tok/s
GPT-OSS 20B~13 GB at MXFP4 (native)
Fits~82 tok/s
Fits~101 tok/s
Fits~114 tok/s
Fits~119 tok/s
Fits~119 tok/s
Qwen3.6 35B-A3B~24 GB at Q4_K_M
Won't fit
Fits~103 tok/s
Fits~116 tok/s
Fits~120 tok/s
Fits~120 tok/s
Qwen3.8 27B~19 GB at Q4_K_M
Won't fit
Fits~25 tok/s
Fits~32 tok/s
Fits~55 tok/s
Fits~55 tok/s
Llama 3.3 70B~46 GB at Q4_K_M
Won't fit
Won't fit
Won't fit
Fits~23 tok/s
Fits~23 tok/s
GPT-OSS 120B~67 GB at MXFP4 (native)
Won't fit
Won't fit
Won't fit
Tight fit~109 tok/s
Fits~109 tok/s
Qwen3.5 122B-A10B~79 GB at Q4_K_M
Won't fit
Won't fit
Won't fit
Won't fit
Fits~80 tok/s
Qwen3 235B-A22B~151 GB at Q4_K_M
Won't fit
Won't fit
Won't fit
Won't fit
Fits~51 tok/s

Estimated single-user decode at ~8K context; GPU-card figures assume the model is fully in VRAM. How we estimate

Mac mini or Mac Studio?

The Mac mini M5 Pro ($1,699) has 24 GB of unified memory, of which macOS lets the GPU use roughly 17 GB. That is enough for 8B–20B models and small MoE models such as GPT-OSS 20B at ~82 tok/s, but not for 27B-and-up dense models.

The Mac Studio M5 Max models add memory and bandwidth: the Mac Studio M5 Max 48GB ($3,099) runs Qwen3.6 35B-A3B at ~116 tok/s. For 70B–120B models you need the Mac Studio M5 Ultra 96GB ($5,499), which runs GPT-OSS 120B at ~109 tok/s.

We track the Mac Studio M5 Ultra 256GB too, but we couldn’t confirm a price for it, so it isn’t ranked here.

Apple runs models through MLX, llama.cpp/Ollama or LM Studio. A Mac also stays quiet and sips power compared with a GPU tower; the trade-off is that CUDA-only tools won’t run.

Mac Studio vs a 128GB Strix Halo or DGX Spark box

The Mac Studio M5 Ultra 96GB has ~4.7× the memory bandwidth of the 128GB PC boxes, so the models it holds run much faster, but it has less memory than they do.

MachinePriceMemoryBandwidthLlama 3.3 70BGPT-OSS 120B
Mac Studio M5 Ultra 96GB$5,49996 GB1,200 GB/s
Fits~23 tok/s
Tight fit~109 tok/s
GMKtec EVO-X2 128GB$3,500128 GB256 GB/s
Fits~5 tok/s
Fits~55 tok/s
Lenovo ThinkStation PGX$5,859128 GB273 GB/s
Fits~5 tok/s
Fits~61 tok/s

Estimated single-user decode at ~8K context; GPU-card figures assume the model is fully in VRAM. Full Mac Studio vs Strix Halo comparison · DGX Spark vs Mac Studio

Measured speeds on M5 Macs

Public single-user decode results we calibrate against. Runs differ in build and settings, so compare like with like.

HardwareModel / runMeasured tok/sOur formulaSource
M5 Max 40c614 GB/sLlama-2 7B Q4_0llama.cpp tg128119.9123.4source
M5 Max 40c614 GB/sLlama-2 7B Q8_0llama.cpp tg12872.470.6source
M5 Pro307 GB/sLlama-2 7B Q4_0llama.cpp tg12867.666.6source
M5 Pro307 GB/sLlama-2 7B Q8_0llama.cpp tg12838.936.9source
M5 Max 40c614 GB/sQwen3.6-27B Q8_0llama.cpp decode@12818.018.9source
M5 Max 40c614 GB/sQwen3.6-35B-A3B Q8_0llama.cpp decode@12893.090.3source
M5 Max 40c614 GB/sgpt-oss-120b MXFP4llama.cpp 4K ctx87.998.0source
M5 Ultra1,228 GB/sLlama-2 7B Q4_0llama.cpp tg128179.1181.8source
M5 Ultra1,228 GB/sLlama-2 7B Q8_0llama.cpp tg128119.0114.4source
M5 Ultra1,200 GB/sgpt-oss-120b MXFP4MLX short prompt (concurrency caveat)99.0108.8source
M5 Max 40c614 GB/sgpt-oss-120b MXFP4MLX (oMLX) 1K ctx92.898.0source

Compare the Macs

Frequently asked questions

What is the best Mac for running LLMs locally?

The Mac Studio M5 Ultra 96GB ($5,499): ~72 GB of usable memory and 1,200 GB/s of bandwidth, enough for Llama 3.3 70B and GPT-OSS 120B. If you only need 8B–20B models, the Mac mini M5 Pro at $1,699 is far cheaper.

Is a Mac mini good for local LLMs?

For small models, yes. The Mac mini M5 Pro runs GPT-OSS 20B at ~82 tok/s by our estimate, but its ~17 GB of GPU-usable memory rules out 27B+ dense and 70B models.

How much unified memory do I need on a Mac for LLMs?

macOS gives the GPU roughly 75% of unified memory. A 4-bit Qwen3.6 35B-A3B needs ~24 GB, so 36–48 GB is comfortable; Llama 3.3 70B needs ~46 GB and GPT-OSS 120B ~67 GB, so plan on 96 GB or more.

Mac Studio or DGX Spark for local AI?

The Mac Studio M5 Ultra 96GB has more bandwidth (1,200 GB/s vs 273 GB/s), so it decodes faster; GB10 boxes such as the Lenovo ThinkStation PGX ($5,859) have 128 GB and run the CUDA stack.

Which Mac has the best price per GB of memory?

Among priced Macs we track, the Mac Studio M5 Ultra 96GB at $57.28 per GB.

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.