Can the MacBook Pro M4 Pro run 70B models locally?

At 24GB, the M4 Pro struggles with 70B models — they require heavy Q2 or Q3 quantization to fit, which noticeably degrades quality. The 48GB M4 Pro configuration handles 70B at Q4_K_M comfortably. The 36GB and 64GB M4 Max configs are better suited for 70B inference at quality quantization levels.

What is the practical difference between M4 Pro and M4 Max for local AI?

Memory bandwidth is the key difference: M4 Pro delivers 273 GB/s, while M4 Max jumps to 410 GB/s. That 50% bandwidth increase directly translates to faster token generation speed on the same model. For users running large models frequently, the Max tier generates tokens noticeably faster at equivalent memory configurations.

Is the MacBook Pro M4 Max 64GB the best portable LLM machine?

For portable local AI, yes — it's the strongest option currently available. The 64GB unified memory runs 70B models at Q4_K_M with room for long contexts, and the 410 GB/s bandwidth delivers usable generation speeds. The tradeoff is cost: the 64GB M4 Max MacBook Pro starts around $4,499.

How does the M4 Max compare to a desktop RTX 4090 for LLM inference?

The RTX 4090 has roughly 2.5x the memory bandwidth (1,008 GB/s vs 410 GB/s), so it generates tokens faster on models that fit in its 24GB VRAM. The M4 Max wins on memory capacity — 64GB versus 24GB means it can run larger models without any VRAM-to-RAM overflow penalty. For models above 30B parameters, the M4 Max often outperforms in practice despite lower bandwidth.

MacBook Pro M4 Max vs M4 Pro for Local LLMs: Worth the Upgrade?

Some links on this page may be affiliate links. We disclose it because you deserve to know, not because it changes anything. Every recommendation here comes from benchmarks, not budgets.

TL;DR: The M4 Max with 64GB unified memory is the best portable LLM machine you can buy. The M4 Pro with 24GB is the sensible choice for most users. The decision comes down to whether you need to run 70B models on the go — and whether that's worth an extra $1,000+.

The MacBook Pro M4 lineup spans three unified memory configurations that matter for local LLMs: 24GB (M4 Pro), 36GB (M4 Max entry), and 64GB (M4 Max top). Each tier opens a different set of capabilities. Here's how to read the differences without the marketing fluff.

The Memory Configs That Matter

Apple sells the MacBook Pro M4 in several configurations. For local LLM purposes, the numbers that matter are:

M4 Pro — 24GB unified memory (~$1,999 base for 14-inch, ~$2,499 for 16-inch):

10-core GPU, 273 GB/s memory bandwidth
Comfortably runs 7B–34B models at quality quantization
70B models need heavy Q2/Q3 quantization to fit
This is the entry point for a genuinely capable LLM laptop

M4 Pro — 48GB unified memory (~$2,999):

Same CPU and GPU, more memory
70B at Q4_K_M fits comfortably
Solid all-around option for serious users

M4 Max — 36GB unified memory (~$3,499):

40-core GPU, 410 GB/s memory bandwidth (major jump)
More memory than 24GB M4 Pro, much faster GPU
70B at Q4 fits, runs faster than M4 Pro 48GB despite slightly less RAM

M4 Max — 48GB unified memory (~$3,999):

Same 40-core GPU, 410 GB/s bandwidth, more memory
70B at Q6 becomes viable
The memory bandwidth advantage of Max starts pulling clear of Pro variants

M4 Max — 64GB unified memory (~$4,499):

40-core GPU, 410 GB/s bandwidth, maximum portable RAM
70B at Q6 or Q8 fits with headroom
The only portable device that approaches desktop-tier 70B inference quality

Memory Bandwidth Is the Hidden Variable

The jump from M4 Pro to M4 Max isn't just memory — it's GPU cores and memory bandwidth.

M4 Pro: 273 GB/s
M4 Max: 410 GB/s

That's a 50% bandwidth increase. Since LLM inference is memory-bandwidth bound, the M4 Max is roughly 40–50% faster at token generation than the M4 Pro with equivalent model sizes. This is the real reason to go Max — not just the extra RAM.

For the same 34B Q4 model:

M4 Pro 24GB: ~30–40 T/s
M4 Max 36GB: ~45–60 T/s

That gap is noticeable in real use. The Max feels genuinely faster, not just on big models.

Real Performance Numbers

Approximate token generation speeds (T/s) with llama.cpp Metal or MLX:

Llama 3.1 8B Q4_K_M:

M4 Pro 24GB: ~90–110 T/s
M4 Max 36GB: ~130–160 T/s
M4 Max 64GB: ~130–165 T/s (similar, memory size doesn't bottleneck 8B)

Qwen 2.5 32B Q4_K_M:

M4 Pro 24GB: ~30–40 T/s
M4 Max 36GB: ~45–60 T/s
M4 Max 64GB: ~48–62 T/s

Llama 3.1 70B Q4_K_M:

M4 Pro 24GB: doesn't fit cleanly (needs Q2 ~8–12 T/s)
M4 Pro 48GB: ~12–18 T/s
M4 Max 36GB: fits, ~18–25 T/s
M4 Max 48GB: ~20–28 T/s
M4 Max 64GB: fits Q6 comfortably, ~15–22 T/s at Q6

The Portability Angle

This is where the MacBook Pro genuinely outclasses any PC alternative. There is no PC laptop that runs 70B models at the quality level of an M4 Max MacBook Pro. PC laptops have dedicated GPUs with 8–16GB of VRAM. An RTX 4090 laptop GPU has 16GB. The 64GB M4 Max has 4x that — in a machine that fits in a backpack.

If you need to run 70B models locally while traveling, at a coffee shop, or anywhere without access to your desktop — the M4 Max MacBook Pro is the only real option. There's nothing else in the laptop category that competes.

Who Should Buy Which

M4 Pro 24GB:

Your primary use is 7B–34B models
You work in an Apple ecosystem and want the cleanest portable setup
Budget is a consideration
Good choice for developers, writers, and researchers who don't specifically need 70B

M4 Pro 48GB:

You want 70B capability but don't want to pay for the Max
Speed is less important than model access
Reasonable middle ground

M4 Max 36GB or 48GB:

You use this for serious daily LLM work
You need 70B models running at quality quantization
You want meaningfully faster throughput than the Pro
You're doing document analysis, long-context work, or coding assistance all day

M4 Max 64GB:

You need 70B at the highest quality you can get on a portable device
This is your primary compute device and you travel regularly
You're running vision models alongside LLMs (multimodal workloads eat memory fast)
You want one device that handles everything without compromise

What You're Giving Up vs a Desktop

Being honest about the tradeoffs:

A Mac Studio M4 Ultra starts at $9,999+ for the base 96GB config (192GB is a high-spec configure-to-order option at significantly higher cost) and obliterates any MacBook Pro for inference
A dual RTX 4090 PC is faster for models that fit in 48GB
The MacBook Pro thermal limits mean sustained inference loads can throttle performance over time — it's not a 24/7 server

The laptop form factor is genuinely worse for sustained heavy inference. But for a personal machine that you also use for normal work, and that you can take anywhere, the M4 Max 64GB is a real tool with no equivalent in the PC laptop world.

The Honest Recommendation

For most people who are serious about local LLMs on a laptop: M4 Pro 48GB. It runs 70B at Q4, handles daily use well, and leaves $500–1,500 in your pocket.

If you specifically need the best portable LLM inference experience available, and budget isn't the constraint: M4 Max 64GB. You'll feel the difference on 34B+ models every day.