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Apple M4 Max for local LLMs

Written by Jakub Rusinowski · Last updated

With 128 GB at 546 GB/s, the M4 Max runs 130 catalogued models at Q4_K_M with 8K context. The largest that fits is Devstral-2 123B (~75.1 GB), and the top pick is Qwen 3.5 122B-A10B at 20–41 tok/s.

Up to 128 GB unified memory, about 96 GB usable by a model: 70B-class models at Q4_K_M fit with room for context. 35W TDP is extraordinary. Silent and power-efficient. Best all-around for Mac users.

Models that run on the M4 Max

Q4_K_M, 8K context, 96 GB usable. Ranked by quality and speed.

ModelVRAMSpeed
Qwen 3.5 122B-A10B
Qwen 3.5
74.5 GB20–41 tok/s
Nemotron 3 Super 120B-A12B
Nemotron 3 Super
73.3 GB18–37 tok/s
Mistral Small 4 119B-A6.5B
Mistral Small 4
72.6 GB11–24 tok/s
GPT-OSS 120B
GPT-OSS
71.9 GB42–88 tok/s
Llama 4.5 Scout
Llama 4.5
66.6 GB14–29 tok/s
Llama 4 Scout 17B
Llama 4
68.2 GB15–32 tok/s
Qwen3-Coder-Next (80B-A3B MoE)
Qwen3-Coder
49.1 GB37–78 tok/s
Kolibri 1
Kolibri
48.4 GB62–128 tok/s
K2 Horizon MoVA 36B-A4B
K2 Horizon
25 GB40–82 tok/s
Qwen 3.6 35B-A3B
Qwen 3.6
22.1 GB68–140 tok/s
Nex-N2.5 mini
Nex-N2.5
21.9 GB42–88 tok/s
Nex-N2 mini
Nex-N2
21.9 GB42–88 tok/s
Showing 12 of 130

Buy it or rent the same memory

Buy the card, or rent a GPU with the same memory by the hour to try models first.

Buy this hardware Apple Mac Studio M4 Max — 64 GB unified memory · 546 GB/sDeploy in the cloud now RunPod

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Apple Mac Studio M4 Max
64 GB unified memory · 546 GB/s
2026 prices are volatile — check the current listing.

Speed vs other GPUs

Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated

Specifications

Specs last updated 2026-09-29.

Memory
128 GB
Memory bandwidth
546 GB/s
Architecture
ARM, 3nm TSMC
Series
Apple Silicon
Board power
35 W
Release year
2024
Usable for models
96 GB (~75% of unified)
Best forlarge MoE modelspower efficiencysilent operation70B models
Recommended first model (Ollama)

Similar GPUs

Frequently asked questions

Can the Apple M4 Max run local LLMs?

Yes. With 128 GB (96 GB usable by a model) it runs 130 of the catalogued models at Q4_K_M with 8K context; the largest is Devstral-2 123B, needing about 75.1 GB.

How fast is the Apple M4 Max for AI inference?

It is estimated to run Llama 3.1 8B at 31–64 tok/s at Q4_K_M. Llama 3.3 70B is estimated at 4.4–9.1 tok/s. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.

What LLMs can I run on 128 GB?

Among the best that fit: Qwen 3.5 122B-A10B, Nemotron 3 Super 120B-A12B, Mistral Small 4 119B-A6.5B, GPT-OSS 120B, Llama 4.5 Scout. The quickest start is Ollama: ollama run llama4:scout.