How much VRAM does the Apple M4 Max (128GB) have?

The Apple M4 Max (128GB) has 128 GB of LPDDR5X with 546 GB/s memory bandwidth (unified system memory, shared between CPU and GPU).

What is the Apple M4 Max (128GB) best for?

With 128 GB of VRAM, the Apple M4 Max (128GB) is a server-class GPU designed for running the largest open-weight models (70B–405B) at high quantization with ample context.

What LLMs can the Apple M4 Max (128GB) run locally?

The Apple M4 Max (128GB) can run 58 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.3 70B Instruct at Q8_0, Llama 3.1 8B Instruct at FP32, Llama 3.2 3B Instruct at FP32.

Can the Apple M4 Max (128GB) run Llama 3.3 70B Instruct?

Yes. The Apple M4 Max (128GB) runs Llama 3.3 70B Instruct natively in VRAM at Q8_0 quantization, achieving approximately 7.8 tokens per second.

Can the Apple M4 Max (128GB) run Qwen 3.6 27B?

Yes. The Apple M4 Max (128GB) runs Qwen 3.6 27B natively in VRAM at FP32 quantization, achieving approximately 5.1 tokens per second.

Can the Apple M4 Max (128GB) run Llama 3.1 8B Instruct?

Yes. The Apple M4 Max (128GB) runs Llama 3.1 8B Instruct natively in VRAM at FP32 quantization, achieving approximately 17.1 tokens per second.

Apple M4 Max (128GB)

The Apple M4 Max (128GB) has 128 GB VRAM and 546 GB/s memory bandwidth. It can run 58 of our 70 tracked models natively in VRAM at 8k context.

With 128 GB LPDDR5X, the Apple M4 Max (128GB) is a laptop-tier GPU that can run 58 models natively. It handles 70B-class models at Q4 quantization.

Apple M4 Max (128GB): 2024 top laptop chip with 128GB LPDDR5X at 546 GB/s. 16-core CPU (12P+4E).

70B at Q4 native ~15-25 t/s. 32B at ~25-35 t/s. Best laptop LLM option.

MLX and llama.cpp Metal fully optimized. Power efficiency advantage over discrete GPUs.

Vendor	Apple
Architecture	Apple M4 Max
CPU cores	16 (12P + 4E)
VRAM	128 GB (unified)
Memory type	LPDDR5X
Memory bandwidth	546 GB/s
Compute backend	METAL
Tier	Laptop
Released	2024
Models (native)	58 / 70
Models (offload)	0 / 70

Software: MLX gives the best performance on Apple Silicon; llama.cpp Metal backend is a solid alternative. Both are well-supported by Ollama.

Popular models for this GPU

DeepSeek V4 Flash 284B Qwen3 235B-A22B (MoE)MiniMax M2.5 229B MiniMax M2.7 229B Mixtral 8x22B Instruct v0.1

Models this GPU runs natively in VRAM (58)

Too large for this GPU (12)

Compare Apple M4 Max (128GB) with other GPUs

Frequently asked questions

How much VRAM does the Apple M4 Max (128GB) have?: The Apple M4 Max (128GB) has 128 GB of LPDDR5X with 546 GB/s memory bandwidth (unified system memory, shared between CPU and GPU).
What is the Apple M4 Max (128GB) best for?: With 128 GB of VRAM, the Apple M4 Max (128GB) is a server-class GPU designed for running the largest open-weight models (70B–405B) at high quantization with ample context.
What LLMs can the Apple M4 Max (128GB) run locally?: The Apple M4 Max (128GB) can run 58 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.3 70B Instruct at Q8_0, Llama 3.1 8B Instruct at FP32, Llama 3.2 3B Instruct at FP32.
Can the Apple M4 Max (128GB) run Llama 3.3 70B Instruct?: Yes. The Apple M4 Max (128GB) runs Llama 3.3 70B Instruct natively in VRAM at Q8_0 quantization, achieving approximately 7.8 tokens per second.
Can the Apple M4 Max (128GB) run Qwen 3.6 27B?: Yes. The Apple M4 Max (128GB) runs Qwen 3.6 27B natively in VRAM at FP32 quantization, achieving approximately 5.1 tokens per second.
Can the Apple M4 Max (128GB) run Llama 3.1 8B Instruct?: Yes. The Apple M4 Max (128GB) runs Llama 3.1 8B Instruct natively in VRAM at FP32 quantization, achieving approximately 17.1 tokens per second.