Updated October 2026
Best Mac for running local LLMs
Unified memory is the whole story. How much you need, which of the September 2026 Macs gives you the most of it per dollar, and where the base models fall short.
As an Amazon Associate I earn from qualifying purchases. Product links on this page go to Amazon; they are affiliate links, and the price you pay is the same.
The picks
Samsung 990 PRO 4TB NVMe SSD (PCIe 4.0)
The drive for the enclosure next to it. 4TB holds a serious model library; PCIe 4.0 is all Thunderbolt can use anyway.
Same speed as the 2TB, twice the room. Cheaper than adding a second drive later.
OWC Express 1M2 Thunderbolt NVMe enclosure (for Macs)
Buy the Mac with the base SSD and put your model library in this instead. Apple's storage upgrade prices are the one place not to spend.
Model load speed is disk-bound, and a Thunderbolt NVMe is fast enough that a 40GB model loads in seconds. Pair it with a 4TB drive.
Mac mini (M5 Pro, 64GB unified memory)
Get 64GB; it's the top option on this chip and the floor for serious use. Runs 30B models well and 70B models badly, which is a fine place to start. No Mac under $1,000 has enough memory for this, so the lineup starts here.
Memory bandwidth on the M5 Pro is nearly double the base M6, and bandwidth is what decides tokens per second on a Mac.
Mac Studio (M5 Max, 128GB unified memory)
128GB is the point where 70B models become everyday tools instead of experiments. Most people should stop here.
The smallest quiet box that runs 70B models at a speed you'd use every day. The 128GB Strix Halo boxes fit the same models at less than half the bandwidth.
MacBook Pro 16-inch (M5 Max, 40-core GPU, 128GB unified memory)
Same memory and bandwidth as the Studio, portable. Pick the 40-core GPU; the 32-core one has a quarter less bandwidth.
The fastest laptop for running a 70B model in memory. The 128GB Strix Halo and RTX Spark laptops fit the same models at well under half the bandwidth. It will be loud and warm doing it, and it will do it on a plane.
Mac Studio (M5 Ultra, 256GB or 512GB unified memory)
512GB loads the largest open models that exist. If you don't already know you need this, you don't.
Up to 512GB of unified memory at 1.2TB/s. If you want to run the biggest open models locally, this is the one box that does it.
Why a Mac at all
On a PC, a model has to fit in the graphics card’s memory or it crawls. Consumer cards top out at 24 to 32GB, and in 2026 the 24GB ones are used-market cards. On Apple Silicon the CPU and GPU share one pool of memory, so a Mac with 128GB holds a model no consumer graphics card can. That’s the entire argument, and for inference (running models, not training them) it’s a strong one.
What actually matters
Unified memory size. A model’s size on disk is roughly its size in memory. A 30B-parameter model at 4-bit quantization is about 18GB; a 70B model is about 40GB; the OS and your apps want 10 to 15GB on top. Buy memory for the models you’ll run next year, not this month.
Memory bandwidth. This decides tokens per second. On the September 2026 chips: base M6 is 170GB/s, M5 Pro is 307GB/s, M5 Max is 460GB/s with the 32-core GPU and 614GB/s with the 40-core, M5 Ultra is 1.2TB/s. A 70B model on a Pro chip runs; on a Max it runs at a speed you’d actually use.
Not the CPU core count, not the SSD. Both are fine on every current Mac. Spend the money on memory.
Configure-to-order. The memory sizes that matter here (64GB on the mini, 128GB on the Max machines, 256GB and up on the Ultra) are build-to-order options at apple.com. Amazon stocks the standard configurations, so the links on this page may land on a smaller-memory model; check the memory line before you buy.
What doesn’t work
- Base M6 Mac mini. Tops out at 32GB and 170GB/s. Runs 8B and 14B models nicely and stops there. Fine for trying Ollama, not for a daily driver.
- MacBook Air. Same chip class as the base mini, worse thermals. It throttles under sustained load, which is what inference is.
- MacBook Pro with the base M5. 32GB ceiling, same story as the mini. The M5 Pro and M5 Max models are a different machine; see below.
- Intel Macs. No.
MacBook Pro
The 2026 MacBook Pro with M5 Max takes the same 128GB and 614GB/s as the Mac Studio M5 Max, which makes it the fastest laptop for running a 70B model in memory. The 128GB Strix Halo laptops and the new RTX Spark laptops fit the same models at well under half the bandwidth. Two cautions: pick the 40-core GPU (the 32-core version drops to 460GB/s), and expect fans and heat under sustained load. The M5 Pro MacBook Pro at 64GB is a fair substitute for the Mac mini M5 Pro if you need the keyboard attached.
Storage: don’t buy it from Apple
Models are big and Apple’s internal storage upgrades cost several times what the same capacity costs anywhere else. Buy the base SSD, then put a 4TB NVMe in a Thunderbolt enclosure. You get about 3GB/s, which loads a 40GB model in seconds, and the drive moves to your next Mac. Keep the OS and apps internal; models, datasets and caches go external.
Software to pair it with
Ollama for the command line, LM Studio for a GUI, and MLX if you want Apple’s own framework. All three use the GPU through Metal out of the box; nothing to configure.