Can I Run Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

Written by Jakub Rusinowski · Last updated July 8, 2026

Yes — comfortably

Yes, comfortably — Qwen3-Coder 8B at Q8_0 needs about 10.4 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving ~25.6 GB spare and running at ~30 tok/s (estimated), with room for about 65,536 tokens of context.

Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~30 tok/s

MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model

Usable memory for models	36 GB
Memory bandwidth	546 GB/s
Form factor	Laptop
Operating system	macOS
Memory upgradeable	No — soldered
Price	$3,999 (lib/data/laptops.ts (street price), checked 2026-07-06)

Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization

Quant	Memory needed	Fits 36 GB?	Max context	Est. speed	Download
F16	17.9 GB	✓ Yes	64K	~17.1 tok/s	16 GB
Q8_0	10.4 GB	✓ Yes	64K	~30 tok/s	8.5 GB
Q6_K	8.5 GB	✓ Yes	64K	~37.3 tok/s	6.6 GB
Q5_K_M	7.6 GB	✓ Yes	64K	~41.9 tok/s	5.7 GB
Q4_K_M	6.8 GB	✓ Yes	64K	~47.5 tok/s	4.8 GB
Q3_K_M	5.4 GB	✓ Yes	64K	~61.3 tok/s	3.4 GB
Q2_K	4.6 GB	✓ Yes	64K	~73 tok/s	2.6 GB

Which Qwen3-Coder sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Qwen3-Coder 480B-A35B (MoE)	291.6 GB	✗ Too large	—
Qwen3-Coder 80B-A3B (MoE)	51.6 GB	✗ Too large	—
Qwen3-Coder 8B	6.8 GB	✓ Fits	~47.5 tok/s

What to watch out for

2 larger variants of Qwen3-Coder do not fit and would need CPU offload or different hardware.
This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.

MacBook Pro M4 Max 48 GB limitations

Unified memory is soldered and cannot be upgraded after purchase.
macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.

Recommended setup

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

How these numbers are calculated

Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
48 GB unified memory at 546 GB/s, shared between CPU and GPU.
macOS reserves a share of unified memory for the system, so not all of it is available to a model.
Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
KV cache is inferred from the parameter count because this model does not publish its full attention configuration.

FAQ

Can I run Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

Which quantization of Qwen3-Coder should I use on MacBook Pro 16" (M4 Max, 48 GB)?

Q8_0 — it needs about 10.4 GB of the 36 GB available, downloads as roughly 8.5 GB, and runs at an estimated 30 tokens/sec with up to 64K of context.

What limits Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.

Can I Run Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model

Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization

Which Qwen3-Coder sizes fit

What to watch out for

MacBook Pro M4 Max 48 GB limitations

Recommended setup

How these numbers are calculated

FAQ

Can I run Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

Which quantization of Qwen3-Coder should I use on MacBook Pro 16" (M4 Max, 48 GB)?

What limits Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?

Which runtime should I use?

Other Computers

Other Models on MacBook Pro 16" (M4 Max, 48 GB)

Qwen3-Coder on GPUs

What This Model Is Good At

Model & Tools