Mac mini M6 vs Mac Studio M5 Max vs M5 Ultra: Which One Actually Runs Local Models

Multiply a model's parameter count in billions by 0.6. That gives you, roughly, the gigabytes of unified memory it needs at 4 bit quantisation. A 30 billion parameter model wants about 18GB. A 70 billion model wants about 42GB.

That one sum decides which Apple desktop you should buy, and it matters far more than any core count on the announcement slide.

What Apple actually announced

Apple refreshed the Mac mini and introduced a new Mac Studio on 25 August 2026. Pre orders are open and units land on 22 September.

The mini starts at 899 dollars with a choice of M6 or M5 Pro. Both gain faster storage, Wi-Fi 7, Bluetooth 6 and 2.5Gb Ethernet as standard, which is the first time the fast networking has not been a paid upgrade. The Studio runs M5 Max or M5 Ultra, and the top configuration reaches 512GB of unified memory.

Why unified memory is the only spec that matters here

On a PC, a model has to fit in the graphics card's VRAM or performance falls off a cliff. On Apple silicon, the CPU, GPU and Neural Engine all read the same pool of memory, so the whole pool is available to the model. That architectural difference is the entire reason people buy Macs for this, and it is worth understanding alongside how NPUs, GPUs and CPUs actually divide the work.

Run the 0.6 sum against the top Studio and you get a strange sentence. 512GB of unified memory holds something in the region of an 800 billion parameter model at 4 bit, on a desktop machine you can order off a shelf. Two years ago that was a rack.

The mini is the value pick, and it is not close

For anything up to roughly 30 billion parameters, the 899 dollar mini does the job. Its two 16 core Neural Engines handle the inference, and models in that class cover most of what people actually run at home: coding assistants, local summarisation, document search, transcription.

The honest framing is that most people asking this question want a 7B to 30B model running privately and quickly. That is a mini question, not a Studio question.

The Studio is a memory ceiling purchase

You buy the M5 Max or M5 Ultra when the model you need will not fit in anything smaller, or when you want to hold a large model and a large context window at the same time without swapping. If you are choosing between a mid tier mini and a base Studio, ask what size model you will realistically load in the next two years, apply the 0.6 rule, and buy the memory that answers it. Everything else on the spec sheet is secondary.

What to do if you are buying today

Nothing lands until 22 September, so there is no rush. If you want a machine now rather than in a month, the outgoing Mac mini M4 with 24GB of unified memory is still on Amazon and tends to drop in price when a replacement is announced. 24GB comfortably holds a 30B model at 4 bit and will not feel slow for that work.

If you are ordering new, decide the memory first and the chip second. For the full spec breakdown on the new mini, we covered the M6 and its 2nm process separately, and if you have not set any of this up before, our guide to running a local LLM on a Mac is the place to start.

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