Apple M1 Ultra — Local LLM Performance & Compatibility
作者: Jakub Rusinowski · 最后更新: 2026年7月12日
Two M1 Max dies fused together. Up to 128 GB unified memory at 800 GB/s — comfortably runs 70B models at Q4. Mac Studio exclusive.
Technical Specifications
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 800 GB/s |
| TDP | 60 W |
| Architecture | ARM, 5nm TSMC |
| Release Year | 2022 |
| MSRP at Launch | $3,999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 43–89 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | 6.3–13 tok/s (estimated) |
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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
- Mac Studio
- large models
Quick Start with Ollama
Install Ollama then run the recommended model for this GPU:
ollama run llama3.3:70b
FAQ
Can the Apple M1 Ultra run local LLMs?
Yes — the Apple M1 Ultra has 128 GB unified memory and runs Two M1 Max dies fused together. Up to 128 GB unified memory at 800 GB/s — comfortably runs 70B models at Q4. Mac Studio
How fast is the Apple M1 Ultra for AI inference?
The Apple M1 Ultra is estimated to run Llama 3.1 8B at 43–89 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 6.3–13 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 llama3.3:70b.
Can I Run It? — Apple M1 Ultra
- Command R Family on Apple M1 Ultra
- Llama 4 on Apple M1 Ultra
- Llama 3.2 Family on Apple M1 Ultra
- Llama 3.2 Vision on Apple M1 Ultra
- Qwen 3.5 on Apple M1 Ultra
- MiniMax M2.5 on Apple M1 Ultra
- GPT-OSS on Apple M1 Ultra
- Devstral on Apple M1 Ultra
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 M5 Max (128 GB, 125 t/s)
VRAM Tier
Buying Guide
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