Apple M3 Max (30-core GPU) — Local LLM Performance & Compatibility
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
14核CPU / 30核GPU版本的M3 Max。内存控制器比40核版本少：300 GB/s而非400 GB/s，且只有36 GB和96 GB两种配置。用40核的记录来建模一台36 GB的机器，会把它的吞吐量高估三分之一。
Technical Specifications
| VRAM | 96 GB unified memory |
| Memory Bandwidth | 300 GB/s |
| TDP | 35 W |
| Architecture | ARM, 3nm TSMC |
| Release Year | 2023 |
| MSRP at Launch | $0 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 18–38 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | 2.4–5.0 tok/s (estimated) |
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LLMs Compatible with 96 GB Unified Memory
All models below run comfortably in 96 GB unified memory with Q4_K_M quantization.
| 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 |
| Qwen 2.5 VL | Qwen 2.5 VL 72B Instruct · 45 GB VRAM · Q4_K_M · ollama run qwen2.5vl:72b |
62 more families also fit 96 GB — browse the full model library.
Best Use Cases
- MacBook Pro
- 32B models
- silent operation
FAQ
Can the Apple M3 Max (30-core GPU) run local LLMs?
Yes — the Apple M3 Max (30-core GPU) has 96 GB unified memory and runs 14核CPU / 30核GPU版本的M3 Max。内存控制器比40核版本少：300 GB/s而非400 GB/s，且只有36 GB和96 GB两种配置。用40核的记录来建模一台36 GB的机器，会把它的吞吐量高估三分之一。
How fast is the Apple M3 Max (30-core GPU) for AI inference?
The Apple M3 Max (30-core GPU) is estimated to run Llama 3.1 8B at 18–38 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 2.4–5.0 tok/s. These are modelled estimates, not measurements — see /en/methodology.
What LLMs can I run on 96 GB VRAM?
With 96 GB you can run: Qwen 3.5, Mistral Small 4, Llama 4, Command R Family, Llama 3.2 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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