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.
| Model | Memory · marker = 96 GB | VRAM | Speed |
|---|---|---|---|
| Qwen 3.5 122B-A10B Qwen 3.5 | 74.5 GB | 22–46 tok/s | |
| Nemotron 3 Super 120B-A12B Nemotron 3 Super | 73.3 GB | 20–41 tok/s | |
| Nemotron 3.5 Super VL 120B-A12B Nemotron 3.5 | 73.3 GB | 20–41 tok/s | |
| Mistral Small 4 119B-A6.5B Mistral Small 4 | 72.6 GB | 13–26 tok/s | |
| GPT-OSS 120B GPT-OSS | 71.6 GB | 50–103 tok/s | |
| Llama 4.5 Scout Llama 4.5 | 66.6 GB | 16–32 tok/s | |
| Llama 4 Scout 17B Llama 4 | 68.2 GB | 17–35 tok/s | |
| Qwen3-Coder-Next (80B-A3B MoE) Qwen3-Coder | 49.4 GB | 71–146 tok/s | |
| Kolibri 1 Kolibri | 48.5 GB | 65–135 tok/s | |
| Nemotron 3.5 Bolt 74B Nemotron 3.5 | 45.6 GB | 34–70 tok/s | |
| K2 Horizon MoVA 36B-A4B K2 Horizon | 25 GB | 43–90 tok/s | |
| Qwen 3.6 35B-A3B Qwen 3.6 | 22.2 GB | 72–149 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
- 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)
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.
Keep going
Can I run it on the M5 Max?
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