aliteq.

Apple M4 Pro: 64 GB, what it runs and what it costs

Specs checked · Aliteq Team · How we compute this

The short answer

The Apple M4 Pro has 64 GB of VRAM and 273 GB/s of memory bandwidth (2024). At Q4_K_M quality or better with an 8K context it runs 37 of the open models we track; the largest that fits with room to spare is DeepSeek R1 Distill 70B. We don't see it for rent on the providers we track right now.

VRAM
64 GB
Bandwidth
273 GB/s
Board power
—
Launched
2024

Source: Apple specification · bandwidth not yet confirmed by a second source, so we don't estimate speed from it

Buy it or rent it

Not for rent on the providers we track right now. See every card that is.

Which AI models run on the Apple M4 Pro

Computed by our VRAM engine for an 8K context: the best quality each model fits at in 64 GB. Speeds are upper-bound estimates from memory bandwidth, not benchmarks.

ModelBest fitVRAM used~tok/s
Llama 4 Scout 17B-16E (MoE)Q4_K_M62 GB98% · tight—
GLM-4.5-Air (MoE)Q4_K_M62 GB97% · tight—
Qwen3-Next 80B-A3B (MoE)Q6_K62 GB97% · tight—
Qwen3-Coder-Next 80B-A3B (MoE)Q6_K62 GB97% · tight—
DeepSeek R1 Distill 70BQ6_K57 GB89%—
Mixtral 8x7B (MoE)Q8_048 GB75%—
Qwen3.6 35B-A3B (MoE)Q8_037 GB57%—
Ornith-1.5 35B-A3B (MoE)Q8_037 GB57%—
Qwen3.5 35B-A3B (MoE)Q8_037 GB57%—
DeepSeek R1 Distill 32BF1664 GB100% · tight—
Qwen2.5 Coder 32BF1664 GB100% · tight—
Qwen2.5 32B InstructF1664 GB100% · tight—

Fits only below Q4 quality: Qwen3.5 122B-A10B (MoE) (IQ4_XS), NVIDIA Nemotron 3 Super 120B-A12B (MoE) (IQ4_XS), gpt-oss 120B (MoE) (Q4_0).

Too big for 64 GB (rent a bigger card instead): what it costs to run Qwen3.8-Flash-Next (MoE), what it costs to run MiniMax-M2.5 (MoE), what it costs to run Qwen3 235B-A22B (MoE), what it costs to run MiniMax-M3 (MoE).

Check a model and context of your own in the VRAM calculator.

Cards to compare it with

Every card by VRAM tier: all GPUs for gaming and local AI.

Apple M4 Pro: common questions

How much VRAM does the Apple M4 Pro have?
64 GB, with 273 GB/s of memory bandwidth, per the maker's specification.
What is the biggest AI model the Apple M4 Pro can run?
Of the open models we track, DeepSeek R1 Distill 70B is the largest that fits at Q4_K_M or better with an 8K context and room to spare (about 57 GB of 64 GB). Llama 4 Scout 17B-16E (MoE) also squeezes in, but with almost no memory left for longer context. Bigger models only fit at lower-quality quants or need more memory.
Can I rent an Apple M4 Pro in the cloud?
We don't see it on Vast.ai, Runpod or the other providers we track right now. The cloud GPU table lists every card that is for rent.
Is 64 GB enough?
Datacenter GPUs and unified-memory machines; mostly rented by the hour.