Apple M4 Max (128GB Unified)
128 GB Unified · 546 GB/s
From
$4,499
Estimated street price
VRAM
128 GB
Bandwidth
546 GB/s
TDP
75W
Models
33
Tier
Full
The Apple M4 Max (128GB Unified) with 128 GB unified memory can handle 33 AI models across reasoning, coding, ai_coding. Best performance: Llama 3.2 1B Instruct at 150 tok/s (excellent). For AI coding workflows, it supports the Full AI Builder tier, supporting concurrent coding + reasoning + embeddings. Current price: approximately $4,499.
Source: OwnRig methodology
128 GB
546 GB/s
Unified
75W
40
MacBook Pro 16", Mac Studio
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
33 models| Arcee Trinity Large Thinking 400B | Q3_K_M | 1 tok/s | Not viable |
| Arcee Trinity Mini 26B | Q8_0 | 28 tok/s | Good |
| Arcee Trinity Nano 6B | Q8_0 | 118 tok/s | Excellent |
| DeepSeek R1 | Q2_K | 4 tok/s | Marginal |
| DeepSeek R1 Distill Qwen 32B | Q5_K_M | 16 tok/s | Good |
| DeepSeek V3 | Q2_K | 3 tok/s | Marginal |
| Gemma 3 27B | Q8_0 | 12 tok/s | Good |
| Gemma 4 26B-A4B | Q8_0 | 84 tok/s | Excellent |
| Gemma 4 31B | Q8_0 | 12 tok/s | Marginal |
| Gemma 4 E2B | Q8_0 | 82 tok/s | Excellent |
| Gemma 4 E4B | Q8_0 | 50 tok/s | Good |
| GigaChat Lightning 10B | Q8_0 | 72 tok/s | Excellent |
| Llama 3.1 70B Instruct | Q5_K_M | 7 tok/s | Acceptable |
| Llama 3.2 11B Vision | Q8_0 | 42 tok/s | Excellent |
| Llama 3.2 1B Instruct | Q8_0 | 150 tok/s | Excellent |
| Llama 3.2 3B Instruct | Q8_0 | 100 tok/s | Excellent |
| Llama 3.3 70B Instruct | Q4_K_M | 18 tok/s | Acceptable |
| Llama 4 Scout | Q8_0 | 4 tok/s | Marginal |
| Mistral Large 2 123B | Q4_K_M | 10 tok/s | Acceptable |
| NVIDIA Nemotron-3-super-120B-A12B | Q4_K_M | 39 tok/s | Excellent |
| Phi-4 Mini | Q8_0 | 90 tok/s | Excellent |
| Qwen 2.5 72B Instruct | Q4_K_M | 6 tok/s | Acceptable |
| Qwen 2.5 Coder 32B Instruct | Q8_0 | 15 tok/s | Good |
| Qwen3-30B-A3B | Q8_0 | 17 tok/s | Acceptable |
| Qwen3-32B Instruct | Q8_0 | 14 tok/s | Acceptable |
| Qwen3.5-122B-A10B | Q8_0 | 36 tok/s | Excellent |
| Qwen3.5-27B | Q8_0 | 16 tok/s | Excellent |
| Qwen3.5-397B (MoE) | Q2_K | 8 tok/s | Marginal |
| Qwen3.6-27B | Q8_0 | 16 tok/s | Excellent |
| Qwen3.6-35B-A3B | Q5_K_M | 17 tok/s | Acceptable |
| QwQ 32B Preview | Q8_0 | 14 tok/s | Good |
| Stable Diffusion 3.5 Large | FP16 | – | Good |
| Whisper Large V3 Turbo | FP16 | – | Excellent |
Showing 33 of 33 entries
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Frequently Asked Questions
- What AI models can Apple M4 Max (128GB Unified) run?
- The Apple M4 Max (128GB Unified) can run 33 AI models. Top performers include Llama 3.2 1B Instruct, Arcee Trinity Nano 6B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.
- Is Apple M4 Max (128GB Unified) good for AI coding?
- Yes. With 128 GB, the Apple M4 Max (128GB Unified) supports the Full AI Builder tier: concurrent coding + reasoning + embeddings.
- How much VRAM does Apple M4 Max (128GB Unified) have?
- The Apple M4 Max (128GB Unified) has 128 GB of unified memory with 546 GB/s bandwidth.
- Can Apple M4 Max (128GB Unified) run 70B models?
- Yes. The Apple M4 Max (128GB Unified) can run 70B parameter models in VRAM at quantized quality.
- Is Apple M4 Max (128GB Unified) worth it for AI?
- At $4,499, the Apple M4 Max (128GB Unified) offers 128 GB VRAM and runs 33 AI models. It handles local AI inference well.
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See every AI model it supports, expected performance, and how to build around it.