Apple M4 Pro (48GB)
48 GB Unified Β· 273 GB/s
From
$2,499
Estimated street price
VRAM
48 GB
Bandwidth
273 GB/s
TDP
45W
Models
29
Tier
Full
The Apple M4 Pro (48GB) with 48 GB unified memory can handle 29 AI models across reasoning, chat, coding. Best performance: Llama 3.2 1B Instruct at 90 tok/s (excellent). For AI coding workflows, it supports the Full AI Builder tier, supporting concurrent coding + reasoning + embeddings. Current price: approximately $2,499.
Source: OwnRig methodology
48 GB
273 GB/s
Unified
45W
20
MacBook Pro 16-inch, Mac Mini
Builder Capability: Full AI Builder
Supports concurrent coding + reasoning + embeddings. Can run 70B models at quantized precision.
Inference Backends
The software stacks that matter most for real-world inference on this device.
Metal
productionPrimary Apple Silicon backend across MLX and llama.cpp workloads.
What it can run
29 models| Arcee Trinity Mini 26B | Q8_0 | 14 tok/s | Acceptable |
| Arcee Trinity Nano 6B | Q8_0 | 59 tok/s | Excellent |
| DeepSeek R1 Distill Qwen 7B | Q8_0 | 38 tok/s | Good |
| DeepSeek V3 | Q2_K | β | Not viable |
| Gemma 3 27B | Q5_K_M | 8 tok/s | Acceptable |
| Gemma 4 26B-A4B | Q8_0 | 42 tok/s | Good |
| Gemma 4 31B | Q8_0 | 6 tok/s | Marginal |
| Gemma 4 E2B | Q8_0 | 41 tok/s | Good |
| Gemma 4 E4B | Q8_0 | 25 tok/s | Acceptable |
| GigaChat Lightning 10B | Q8_0 | 61 tok/s | Excellent |
| Llama 3.1 70B Instruct | Q4_K_M | 6 tok/s | Acceptable |
| Llama 3.1 8B Instruct | Q8_0 | 32 tok/s | Good |
| Llama 3.2 11B Vision | Q8_0 | 30 tok/s | Good |
| Llama 3.2 1B Instruct | Q8_0 | 90 tok/s | Excellent |
| Llama 3.2 3B Instruct | Q8_0 | 60 tok/s | Excellent |
| Llama 3.3 70B Instruct | Q4_K_M | 12 tok/s | Acceptable |
| Llama 4 Scout | Q3_K_M | 6 tok/s | Marginal |
| nomic-embed-text v1.5 | FP16 | β | Excellent |
| NVIDIA Nemotron-3-super-120B-A12B | Q2_K | 50 tok/s | Good |
| Phi-4 14B | Q5_K_M | 35 tok/s | Good |
| Phi-4 Mini | Q8_0 | 55 tok/s | Excellent |
| Qwen 2.5 Coder 32B Instruct | Q4_K_M | 10 tok/s | Acceptable |
| Qwen3-14B Instruct | Q8_0 | 25 tok/s | Good |
| Qwen3.5-122B-A10B | Q5_K_M | 36 tok/s | Good |
| Qwen3.5-27B | Q8_0 | 9 tok/s | Acceptable |
| Qwen3.5-397B (MoE) | Q2_K | β | Not viable |
| Qwen3.6-27B | Q8_0 | 9 tok/s | Acceptable |
| Stable Diffusion 3.5 Large | FP16 | β | Acceptable |
| Whisper Large V3 Turbo | FP16 | β | Excellent |
Showing 29 of 29 entries
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Frequently Asked Questions
- What AI models can Apple M4 Pro (48GB) run?
- The Apple M4 Pro (48GB) can run 29 AI models. Top performers include Llama 3.2 1B Instruct, GigaChat Lightning 10B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.
- Is Apple M4 Pro (48GB) good for AI coding?
- Yes. With 48 GB, the Apple M4 Pro (48GB) supports the Full AI Builder tier: concurrent coding + reasoning + embeddings.
- How much VRAM does Apple M4 Pro (48GB) have?
- The Apple M4 Pro (48GB) has 48 GB of unified memory with 273 GB/s bandwidth.
- Can Apple M4 Pro (48GB) run 70B models?
- Yes. The Apple M4 Pro (48GB) can run 70B parameter models in VRAM at quantized quality.
- Is Apple M4 Pro (48GB) worth it for AI?
- At $2,499, the Apple M4 Pro (48GB) offers 48 GB VRAM and runs 29 AI models. It handles local AI inference well.
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