Can Phi 4 Mini 4B run on MacBook Pro M4 16GB?

YES — Runs Great

A71Great

Estimated — low-sample bucket· few comparable runs

Phi 4 Mini 4B needs ~6.5 GB VRAM. MacBook Pro M4 16GB has 11.5 GB. With Q4_K_M quantization, expect ~35 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth

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) — 6.5 GB, 35.0 tok/s, Runs well

6.5 GB required11.5 GB available

57% VRAM used

Fit status

Runs well

Decode

35.0 tok/s

TTFT

5528 ms

Safe context

70K

Memory

6.5 GB / 11.5 GB

Memory breakdown

Weights2.4 GB

KV Cache1.5 GB

Runtime0.9 GB

Headroom1.7 GB

See how fast it feels

See how fast it feelsPhi 4 Mini 4B on MacBook Pro M4 16GB
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: 35.0 tok/s decode · 5.5s TTFT (warm) · 88 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	A	Runs well	35.4 tok/s	2982 ms	70K
Coding	A	Runs well	35.0 tok/s	5528 ms	70K
Agentic Coding	A	Runs well	35.0 tok/s	8041 ms	70K
Reasoning	A	Runs well	35.0 tok/s	6533 ms	70K
RAG	A	Runs well	35.0 tok/s	10051 ms	70K

Quantization options

How Phi 4 Mini 4B (4B params) fits at each quantization level on MacBook Pro M4 16GB (11.5 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	B69
Q3_K_S	3	2.0 GB	Low	B69
NVFP4	4	2.2 GB	Medium	B69
Q4_K_M	4	2.4 GB	Medium	B70
Q5_K_M	5	2.9 GB	High	A70
Q6_K	6	3.3 GB	High	A71
Q8_0	8	4.3 GB	Very High	A72
F16Best for your GPU	16	8.2 GB	Maximum	A72

Get started

Copy-paste commands to run Phi 4 Mini 4B on your machine.

Run

ollama run phi4-mini

Your hardware

More models your MacBook Pro M4 16GB can run

Model	Params	Grade	Decode
Qwen 3.5 9B	9B	S	15.6 tok/s
Qwen 3 14B	14B	A	7.5 tok/s
Qwen 3 8B	8B	S	17.5 tok/s
Nemotron Nano 8B	8B	A	18.9 tok/s
Ministral 3 14B	14B	B	7.4 tok/s

Frequently asked questions

Can MacBook Pro M4 16GB run Phi 4 Mini 4B?

Yes, MacBook Pro M4 16GB can run Phi 4 Mini 4B with a A grade (Runs well). Expected decode speed: 35.0 tok/s.

How much VRAM does Phi 4 Mini 4B need?

Phi 4 Mini 4B (4B parameters) requires approximately 6.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 4 Mini 4B?

The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 4 Mini 4B run at on MacBook Pro M4 16GB?

On MacBook Pro M4 16GB, Phi 4 Mini 4B achieves approximately 35.0 tokens per second decode speed with a time-to-first-token of 5528ms using Q4_K_M quantization.

Can MacBook Pro M4 16GB run Phi 4 Mini 4B for coding?

For coding workloads, Phi 4 Mini 4B on MacBook Pro M4 16GB receives a A grade with 35.0 tok/s and 70K context.

What context window can Phi 4 Mini 4B use on MacBook Pro M4 16GB?

On MacBook Pro M4 16GB, Phi 4 Mini 4B can safely use up to 70K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M4 16GB as fast as VRAM for Phi 4 Mini 4B?

Not always. MacBook Pro M4 16GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.

See all results for MacBook Pro M4 16GB See all hardware for Phi 4 Mini 4B

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