MacBook Pro M3 Max 48GB
Apple · M3 Max · 48GB Unified Memory · Can run 42 models
Buy Apple
| Manufacturer | Apple |
| Unified Mem | 48 GB |
| Chip | M3 Max |
| CPU Cores | 16 |
| GPU Cores | 40 |
| Neural Engine | 16 |
| Bandwidth | 400 GB/s |
| MSRP | $3,499 |
| Released | Nov 7, 2023 |
AI Notes
The MacBook Pro M3 Max 48GB is a powerhouse for local AI inference. With 400 GB/s bandwidth and 48GB unified memory, it runs 30B models at fast speeds and can handle 70B models with aggressive quantization. The massive bandwidth advantage over Pro chips translates to dramatically faster token generation.
Compatible Models
| Model | Parameters | Best Quant | VRAM Used | Fit | Est. Speed |
|---|---|---|---|---|---|
| Gemma 3 1B | 1B | Q8_0 | 2 GB | Runs | ~200 tok/s |
| Llama 3.2 1B | 1B | Q8_0 | 3 GB | Runs | ~133 tok/s |
| DeepSeek R1 1.5B | 1.5B | Q8_0 | 3 GB | Runs | ~133 tok/s |
| Gemma 2 2B | 2B | Q8_0 | 4 GB | Runs | ~100 tok/s |
| Llama 3.2 3B | 3B | Q8_0 | 5 GB | Runs | ~80 tok/s |
| Phi-3 Mini 3.8B | 3.8B | Q8_0 | 5.8 GB | Runs | ~69 tok/s |
| Phi-4 Mini 3.8B | 3.8B | Q4_K_M | 4.5 GB | Runs | ~89 tok/s |
| Gemma 3 4B | 4B | Q4_K_M | 5 GB | Runs | ~80 tok/s |
| Qwen 3 4B | 4B | Q4_K_M | 4.5 GB | Runs | ~89 tok/s |
| DeepSeek R1 7B | 7B | Q8_0 | 9 GB | Runs | ~44 tok/s |
| Mistral 7B | 7B | Q8_0 | 9 GB | Runs | ~44 tok/s |
| Qwen 2.5 7B | 7B | Q8_0 | 9 GB | Runs | ~44 tok/s |
| Qwen 2.5 Coder 7B | 7B | Q8_0 | 9 GB | Runs | ~44 tok/s |
| DeepSeek R1 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~53 tok/s |
| Llama 3.1 8B | 8B | Q8_0 | 10 GB | Runs | ~40 tok/s |
| Qwen 3 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~53 tok/s |
| Gemma 2 9B | 9B | Q8_0 | 11 GB | Runs | ~36 tok/s |
| Gemma 3 12B | 12B | Q4_K_M | 10.5 GB | Runs | ~38 tok/s |
| Mistral Nemo 12B | 12B | Q4_K_M | 9.5 GB | Runs | ~42 tok/s |
| DeepSeek R1 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~40 tok/s |
| Phi-4 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~40 tok/s |
| Qwen 2.5 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~40 tok/s |
| Qwen 2.5 Coder 14B | 14B | Q4_K_M | 12 GB | Runs | ~33 tok/s |
| Qwen 3 14B | 14B | Q4_K_M | 12 GB | Runs | ~33 tok/s |
| StarCoder2 15B | 15B | Q8_0 | 17 GB | Runs | ~24 tok/s |
| Codestral 22B | 22B | Q4_K_M | 14.7 GB | Runs | ~27 tok/s |
| Devstral 24B | 24B | Q4_K_M | 17 GB | Runs | ~24 tok/s |
| Mistral Small 3.1 24B | 24B | Q4_K_M | 18 GB | Runs | ~22 tok/s |
| Gemma 2 27B | 27B | Q4_K_M | 17.7 GB | Runs | ~23 tok/s |
| Gemma 3 27B | 27B | Q4_K_M | 20 GB | Runs | ~20 tok/s |
| Qwen 3 30B-A3B (MoE) | 30B | Q4_K_M | 22 GB | Runs | ~18 tok/s |
| DeepSeek R1 32B | 32B | Q4_K_M | 20.7 GB | Runs | ~19 tok/s |
| Qwen 2.5 32B | 32B | Q4_K_M | 20.7 GB | Runs | ~19 tok/s |
| Qwen 2.5 Coder 32B | 32B | Q4_K_M | 23 GB | Runs | ~17 tok/s |
| Qwen 3 32B | 32B | Q4_K_M | 23 GB | Runs | ~17 tok/s |
| Command R 35B | 35B | Q4_K_M | 22.5 GB | Runs | ~18 tok/s |
| Mixtral 8x7B | 47B | Q4_K_M | 29.7 GB | Runs | ~13 tok/s |
| DeepSeek R1 70B | 70B | Q4_K_M | 43.5 GB | Runs (tight) | ~9 tok/s |
| Llama 3.1 70B | 70B | Q4_K_M | 43.5 GB | Runs (tight) | ~9 tok/s |
| Llama 3.3 70B | 70B | Q4_K_M | 43.5 GB | Runs (tight) | ~9 tok/s |
| Qwen 2.5 72B | 72B | Q4_K_M | 44.7 GB | Runs (tight) | ~9 tok/s |
| Llama 4 Scout (109B/17B active) | 109B | Q4_K_M | 72 GB | CPU Offload | ~6 tok/s |
1
model(s) are too large for this hardware.