Can Qwen 3 8B run on MacBook Pro M4 Pro 24GB?

YES — Runs Great

S92Excellent

▲Estimated — low-sample bucket· few comparable runs

Qwen 3 8B needs ~10.6 GB VRAM. MacBook Pro M4 Pro 24GB has 17.3 GB. With Q4_K_M quantization, expect ~43 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 10.6 GB, 42.6 tok/s, Runs well

10.6 GB required17.3 GB available

61% VRAM used

Fit status

Runs well

Decode

42.6 tok/s

TTFT

4544 ms

Safe context

65K

Memory

10.6 GB / 17.3 GB

Memory breakdown

Weights4.9 GB

KV Cache2.2 GB

Runtime0.9 GB

Headroom2.6 GB

See how fast it feels

See how fast it feelsQwen 3 8B on MacBook Pro M4 Pro 24GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
 - Speed = 60 mph (miles per hour)
 - Time = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
 Distance = 60 mph x 2.5 h
 = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
 - First half: 1.25 hours at 60 mph = 75 miles
 - Stop: 20 minutes (no distance)
 - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 42.6 tok/s decode · 4.5s TTFT (warm) · 107 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Shared-memory contention still exists

The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	42.6 tok/s	2479 ms	65K
Coding	S	Runs well	42.6 tok/s	4544 ms	65K
Agentic Coding	S	Runs well	42.6 tok/s	6610 ms	65K
Reasoning	S	Runs well	42.6 tok/s	5371 ms	65K
RAG	S	Runs well	42.6 tok/s	8263 ms	65K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on MacBook Pro M4 Pro 24GB (17.3 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	S86
Q3_K_S	3	3.9 GB	Low	S87
NVFP4	4	4.5 GB	Medium	S88
Q4_K_M	4	4.9 GB	Medium	S88
Q5_K_M	5	5.8 GB	High	S89
Q6_K	6	6.6 GB	High	S89
Q8_0Best for your GPU	8	8.6 GB	Very High	S91
F16	16	16.4 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Your hardware

More models your MacBook Pro M4 Pro 24GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen 3.5 9B	9B	S	37.9 tok/s
👁 Mistral Magistral Small 2507	24B	A	17.8 tok/s
👁 Mistral Devstral Small 2 24B Instruct	24B	A	17.8 tok/s
👁 Alibaba Qwen 3 14B	14B	S	23.4 tok/s

Frequently asked questions

See all results for MacBook Pro M4 Pro 24GB See all hardware for Qwen 3 8B

URL: https://willitrunai.com/can-run/qwen-3-8b-on-m4-pro-24gb

⇱ Qwen 3 8B on MacBook Pro M4 Pro 24GB? YES