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Apple M5 Max for local LLMs

Written by Jakub Rusinowski · Last updated

With 128 GB at 614 GB/s, the M5 Max runs 140 catalogued models at Q4_K_M with 8K context. The largest that fits is Mistral Medium 3.5 128B (~80.9 GB), and the top pick is Qwen 3.5 122B-A10B at 22–46 tok/s.

Up to 128 GB unified memory at 614 GB/s — 12% more bandwidth than M4 Max at the same memory ceiling. Released March 2026 in the MacBook Pro 14"/16". Fits 70B-class models at Q4_K_M.

Models that run on the M5 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 GB22–46 tok/s
Nemotron 3 Super 120B-A12B
Nemotron 3 Super
73.3 GB20–41 tok/s
Nemotron 3.5 Super VL 120B-A12B
Nemotron 3.5
73.3 GB20–41 tok/s
Mistral Small 4 119B-A6.5B
Mistral Small 4
72.6 GB13–26 tok/s
GPT-OSS 120B
GPT-OSS
71.6 GB50–103 tok/s
Llama 4.5 Scout
Llama 4.5
66.6 GB16–32 tok/s
Llama 4 Scout 17B
Llama 4
68.2 GB17–35 tok/s
Qwen3-Coder-Next (80B-A3B MoE)
Qwen3-Coder
49.4 GB71–146 tok/s
Kolibri 1
Kolibri
48.5 GB65–135 tok/s
Nemotron 3.5 Bolt 74B
Nemotron 3.5
45.6 GB34–70 tok/s
K2 Horizon MoVA 36B-A4B
K2 Horizon
25 GB43–90 tok/s
Qwen 3.6 35B-A3B
Qwen 3.6
22.2 GB72–149 tok/s
Showing 12 of 140

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 MacBook Pro M5 Max — 128 GB unified memory · 614 GB/sDeploy in the cloud now RunPod

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Apple MacBook Pro M5 Max
128 GB unified memory · 614 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
614 GB/s
Architecture
ARM, 3nm TSMC
Series
Apple Silicon
Board power
35 W
Release year
2026
Usable for models
96 GB (~75% of unified)
Best for70B modelslarge MoE modelsMac StudioMacBook Pro
Recommended first model (Ollama)

Similar GPUs

Frequently asked questions

Can the Apple M5 Max run local LLMs?

Yes. With 128 GB (96 GB usable by a model) it runs 140 of the catalogued models at Q4_K_M with 8K context; the largest is Mistral Medium 3.5 128B, needing about 80.9 GB.

How fast is the Apple M5 Max for AI inference?

It is estimated to run Llama 3.1 8B at 34–71 tok/s at Q4_K_M. Llama 3.3 70B is estimated at 4.9–10 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, Nemotron 3.5 Super VL 120B-A12B, Mistral Small 4 119B-A6.5B, GPT-OSS 120B. The quickest start is Ollama: ollama run llama4:scout.