Run Llama 4 Maverick 400B on a Dedicated Mac

Llama 4 Maverick 400B needs about 233 GB of memory at 4-bit. It runs on our 2× Mac Studio M5 Ultra 256GB Cluster at about 40–53 tokens per second, from $2,399/mo.

Macs that run Llama 4 Maverick 400B

At 4-bit with a 32K-token context. Speeds are estimates; see real measurements on the calculator page.

  • 2× Mac Studio M5 Ultra 256GB Cluster Best value Cluster
    40–53 tokens/sec
    from $2,399/mo Available Nov 16, 2026
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  • Mac Studio M5 Ultra 512GB
    43–59 tokens/sec
    from $2,499/mo Available Dec 30, 2026
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  • 2× Mac Studio M5 Ultra 512GB Cluster Cluster
    40–53 tokens/sec
    from $4,999/mo Available Dec 30, 2026
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  • 4× Mac Studio M5 Ultra 512GB Cluster Cluster
    34–44 tokens/sec
    from $9,999/mo Available Dec 30, 2026
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Why it runs well on a Mac

Language models have to sit entirely in memory, and generating each word means reading through them again. Apple Silicon puts up to 512 GB of fast unified memory on one chip that the GPU can use directly, so a model like this fits on one quiet machine instead of a stack of graphics cards.

Llama 4 Maverick 400B is a mixture-of-experts model: of its 400 billion parameters, only about 17 billion are used for each word. It needs memory for all of them but runs at the speed of a much smaller model.

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