Apple

Apple M4 Max (64GB Unified)

Name: Apple M4 Max (64GB Unified)
Brand: Apple
Price: 3499 USD
Availability: InStock

64 GB · 546 GB/s

$3,499

Updated 2026-03-01

The Apple M4 Max (64GB Unified) with 64 GB unified memory can handle 17 AI models across chat, 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 — supports concurrent coding + reasoning + embeddings. Current price: approximately $3,499.

— OwnRig methodology, data updated 2026-03-01

Builder Capability: Full AI Builder

Supports concurrent coding + reasoning + embeddings. Can run 70B models.

Specifications

Memory

Capacity: 64 GB
Bandwidth: 546 GB/s
Type: Unified Memory

Power & Platform

TDP: 75W
GPU Cores: 40
Host Devices: MacBook Pro 16", Mac Studio

Compatible Models

Model	Quant	Speed	Rating	Notes
Llama 3.1 8B Instruct	Q8_0	55 tok/s	Excellent	64GB allows running Llama 8B + Qwen Coder 32B + embeddings simultaneously. Total concurrent VRAM ~28GB.
Qwen 2.5 Coder 32B Instruct	Q5_K_M	18 tok/s	Good	64GB allows running Qwen Coder 32B Q5 (22GB) + Llama 8B Q4 (5GB) + nomic-embed (0.5GB) = ~27.5GB concurrent, leaving 36.5GB free for system.
Llama 3.1 70B Instruct	Q4_K_M	8 tok/s	Acceptable	Q4 at 39.5GB fits in 64GB unified memory with 24.5GB for system. Slow but functional. Apple Silicon's strength is that it works at all.
nomic-embed-text v1.5	FP16	—	Excellent	Runs alongside Qwen Coder 32B Q5 (22GB) + Llama 8B Q4 (5GB) = 27.5GB total. 36.5GB free for system.
QwQ 32B Preview	Q5_K_M	17 tok/s	Good	Q5 (21.9GB) in 64GB unified memory. Good quality reasoning model. Builders swap between this and Coder 32B as needed.
Mixtral 8x7B Instruct	Q5_K_M	18 tok/s	Good	Q5 at 31.4GB in 64GB. Higher quality than Q4 with room for other models.
Qwen 2.5 72B Instruct	Q3_K_M	6 tok/s	Acceptable	Q3 at 32.5GB fits in 64GB with 31.5GB for system. Slow but functional.
DeepSeek R1 Distill Qwen 32B	Q4_K_M	17 tok/s	Good	Q4 fits in 64GB with headroom. Good reasoning quality on Mac.
Llama 3.3 70B Instruct	Q3_K_M	7 tok/s	Acceptable	Q3 at ~32GB fits in 64GB. Slow but functional on Apple Silicon.
Mistral Small 24B Instruct	Q5_K_M	22 tok/s	Good	Q5 fits in 64GB. Good quality on Mac.
Llama 3.2 3B Instruct	Q8_0	100 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory enables concurrent workloads.
Llama 3.2 1B Instruct	Q8_0	150 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent models.
Phi-4 Mini	Q8_0	90 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent workloads.
Whisper Large V3 Turbo	FP16	—	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent workloads.
Stable Diffusion 3.5 Large	FP16	—	Good	Same speed as M4 Max 36GB. ~10s per image. Extra memory for higher resolutions.
Gemma 3 27B	Q6_K	14 tok/s	Good	64GB allows Q6_K (22.3GB) for higher quality. Same bandwidth as 36GB variant.
DeepSeek V3	Q2_K	—	Not Viable	671B MoE model requires 115GB+ at Q2_K. 64GB insufficient. Would need M4 Max 128GB.

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Frequently Asked Questions

What AI models can Apple M4 Max (64GB Unified) run?: The Apple M4 Max (64GB Unified) can run 17 AI models. Top performers include Llama 3.2 1B Instruct, Llama 3.2 3B Instruct, Phi-4 Mini. See the full compatibility table above for speeds and quality ratings.
Is Apple M4 Max (64GB Unified) good for AI coding?: Yes. With 64 GB, the Apple M4 Max (64GB Unified) supports the Full AI Builder tier — concurrent coding + reasoning + embeddings.
How much VRAM does Apple M4 Max (64GB Unified) have?: The Apple M4 Max (64GB Unified) has 64 GB of unified memory with 546 GB/s bandwidth.
Can Apple M4 Max (64GB Unified) run 70B models?: Yes. The Apple M4 Max (64GB Unified) can run 70B parameter models in VRAM at quantized quality.
Is Apple M4 Max (64GB Unified) worth it for AI?: At $3,499, the Apple M4 Max (64GB Unified) offers 64 GB VRAM and runs 17 AI models. It's a strong choice for local AI inference.

Generation: M4. Last updated: 2026-03-01.

Compatible Models

Model	Quant	Speed	Rating	Notes
Llama 3.1 8B Instruct	Q8_0	55 tok/s	Excellent	64GB allows running Llama 8B + Qwen Coder 32B + embeddings simultaneously. Total concurrent VRAM ~28GB.
Qwen 2.5 Coder 32B Instruct	Q5_K_M	18 tok/s	Good	64GB allows running Qwen Coder 32B Q5 (22GB) + Llama 8B Q4 (5GB) + nomic-embed (0.5GB) = ~27.5GB concurrent, leaving 36.5GB free for system.
Llama 3.1 70B Instruct	Q4_K_M	8 tok/s	Acceptable	Q4 at 39.5GB fits in 64GB unified memory with 24.5GB for system. Slow but functional. Apple Silicon's strength is that it works at all.
nomic-embed-text v1.5	FP16	—	Excellent	Runs alongside Qwen Coder 32B Q5 (22GB) + Llama 8B Q4 (5GB) = 27.5GB total. 36.5GB free for system.
QwQ 32B Preview	Q5_K_M	17 tok/s	Good	Q5 (21.9GB) in 64GB unified memory. Good quality reasoning model. Builders swap between this and Coder 32B as needed.
Mixtral 8x7B Instruct	Q5_K_M	18 tok/s	Good	Q5 at 31.4GB in 64GB. Higher quality than Q4 with room for other models.
Qwen 2.5 72B Instruct	Q3_K_M	6 tok/s	Acceptable	Q3 at 32.5GB fits in 64GB with 31.5GB for system. Slow but functional.
DeepSeek R1 Distill Qwen 32B	Q4_K_M	17 tok/s	Good	Q4 fits in 64GB with headroom. Good reasoning quality on Mac.
Llama 3.3 70B Instruct	Q3_K_M	7 tok/s	Acceptable	Q3 at ~32GB fits in 64GB. Slow but functional on Apple Silicon.
Mistral Small 24B Instruct	Q5_K_M	22 tok/s	Good	Q5 fits in 64GB. Good quality on Mac.
Llama 3.2 3B Instruct	Q8_0	100 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory enables concurrent workloads.
Llama 3.2 1B Instruct	Q8_0	150 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent models.
Phi-4 Mini	Q8_0	90 tok/s	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent workloads.
Whisper Large V3 Turbo	FP16	—	Excellent	Same speed as M4 Max 36GB. Extra memory for concurrent workloads.
Stable Diffusion 3.5 Large	FP16	—	Good	Same speed as M4 Max 36GB. ~10s per image. Extra memory for higher resolutions.
Gemma 3 27B	Q6_K	14 tok/s	Good	64GB allows Q6_K (22.3GB) for higher quality. Same bandwidth as 36GB variant.
DeepSeek V3	Q2_K	—	Not Viable	671B MoE model requires 115GB+ at Q2_K. 64GB insufficient. Would need M4 Max 128GB.

Frequently Asked Questions

What AI models can Apple M4 Max (64GB Unified) run?

The Apple M4 Max (64GB Unified) can run 17 AI models. Top performers include Llama 3.2 1B Instruct, Llama 3.2 3B Instruct, Phi-4 Mini. See the full compatibility table above for speeds and quality ratings.

Is Apple M4 Max (64GB Unified) good for AI coding?

Yes. With 64 GB, the Apple M4 Max (64GB Unified) supports the Full AI Builder tier — concurrent coding + reasoning + embeddings.

How much VRAM does Apple M4 Max (64GB Unified) have?

The Apple M4 Max (64GB Unified) has 64 GB of unified memory with 546 GB/s bandwidth.

Can Apple M4 Max (64GB Unified) run 70B models?

Yes. The Apple M4 Max (64GB Unified) can run 70B parameter models in VRAM at quantized quality.

Is Apple M4 Max (64GB Unified) worth it for AI?

At $3,499, the Apple M4 Max (64GB Unified) offers 64 GB VRAM and runs 17 AI models. It's a strong choice for local AI inference.