Apple M5 Max — Local LLM Performance & Compatibility
作者: Jakub Rusinowski · 最后更新: 2026年7月12日
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". Runs 70B models at roughly 42 t/s.
Technical Specifications
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 614 GB/s |
| TDP | 35 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2026 |
| MSRP at Launch | $3,499 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 34–71 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | 4.9–10 tok/s (estimated) |
作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。
LLMs Compatible with 128 GB Unified Memory
All models below run comfortably in 128 GB unified memory with Q4_K_M quantization.
| Qwen3.8 | Qwen3.8-Flash-Next · 109 GB VRAM · Q4_K_M · qwen3-8 |
| Qwen 3.5 | Qwen 3.5 122B-A10B · 74 GB VRAM · Q4_K_M · ollama run qwen3.5:122b |
| Mistral Small 4 | Mistral Small 4 119B-A6.5B · 73 GB VRAM · Q4_K_M · ollama run mistral-small |
| Llama 4 | Llama 4 Scout 17B · 67 GB VRAM · Q4_K_M · ollama run llama4:scout |
| Command R Family | Command R+ (104B) · 64 GB VRAM · Q4_K_M · ollama run command-r-plus |
| Llama 3.2 Family | Llama 3.2 90B Vision Instruct · 54 GB VRAM · Q4_K_M · llama-3-2 |
| Llama 3.2 Vision | Llama 3.2 Vision 90B · 54 GB VRAM · Q4_K_M · ollama run llama3.2-vision:90b |
| Qwen3-Coder | Qwen3-Coder 80B-A3B (MoE) · 49 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4 |
62 more families also fit 128 GB — browse the full model library.
Best Use Cases
- 70B models
- any model size
- Mac Studio
- MacBook Pro
Quick Start with Ollama
Install Ollama then run the recommended model for this GPU:
ollama run llama4:scout
FAQ
Can the Apple M5 Max run local LLMs?
Yes — the Apple M5 Max has 128 GB unified memory and runs Up to 128 GB unified memory at 614 GB/s — 12% more bandwidth than M4 Max at the same memory ceiling. Released March 2026
How fast is the Apple M5 Max for AI inference?
The Apple M5 Max is estimated to run Llama 3.1 8B at 34–71 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 4.9–10 tok/s. These are modelled estimates, not measurements — see /en/methodology.
What LLMs can I run on 128 GB VRAM?
With 128 GB you can run: Qwen3.8, Qwen 3.5, Mistral Small 4, Llama 4, Command R Family. Use Ollama for the easiest setup: ollama run llama4:scout.
Can I Run It? — Apple M5 Max
- Command R Family on Apple M5 Max
- Llama 4 on Apple M5 Max
- Llama 3.2 Family on Apple M5 Max
- Llama 3.2 Vision on Apple M5 Max
- Qwen 3.5 on Apple M5 Max
- MiniMax M2.5 on Apple M5 Max
- GPT-OSS on Apple M5 Max
- Devstral on Apple M5 Max
Compare Similar GPUs
- NVIDIA GB10 Grace Blackwell (128 GB, 0 t/s)
- Apple M4 Max (128 GB, 110 t/s)
- Apple M3 Max (128 GB, 95 t/s)
- Apple M1 Ultra (128 GB, 155 t/s)
VRAM Tier
Buying a laptop?
Buying Guide
← All GPU Reviews | All Hardware | Check Your Hardware | Full Benchmarks | Can I Run It?