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.
| Model | Memory · marker = 96 GB | VRAM | Speed |
|---|---|---|---|
| Qwen 3.5 122B-A10B Qwen 3.5 | 74.5 GB | 20–41 tok/s | |
| Nemotron 3 Super 120B-A12B Nemotron 3 Super | 73.3 GB | 18–37 tok/s | |
| Mistral Small 4 119B-A6.5B Mistral Small 4 | 72.6 GB | 11–24 tok/s | |
| GPT-OSS 120B GPT-OSS | 71.9 GB | 42–88 tok/s | |
| Llama 4.5 Scout Llama 4.5 | 66.6 GB | 14–29 tok/s | |
| Llama 4 Scout 17B Llama 4 | 68.2 GB | 15–32 tok/s | |
| Qwen3-Coder-Next (80B-A3B MoE) Qwen3-Coder | 49.1 GB | 37–78 tok/s | |
| Kolibri 1 Kolibri | 48.4 GB | 62–128 tok/s | |
| K2 Horizon MoVA 36B-A4B K2 Horizon | 25 GB | 40–82 tok/s | |
| Qwen 3.6 35B-A3B Qwen 3.6 | 22.1 GB | 68–140 tok/s | |
| Nex-N2.5 mini Nex-N2.5 | 21.9 GB | 42–88 tok/s | |
| Nex-N2 mini Nex-N2 | 21.9 GB | 42–88 tok/s |
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.
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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)
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.
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Can I run it on the M4 Max?
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