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⇱ Phi-4 Mini Reasoning 4B on MacBook Air M4 24GB? YES

Can Phi-4 Mini Reasoning 4B run on MacBook Air M4 24GB?

YES — Runs Great

S85Excellent
▲Estimated — low-sample bucket· few comparable runs

Phi-4 Mini Reasoning 4B needs ~7.3 GB VRAM. MacBook Air M4 24GB has 17.3 GB. With Q4_K_M quantization, expect ~37 tok/s.

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

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) — 7.3 GB, 36.9 tok/s, Runs well
7.3 GB required17.3 GB available
42% VRAM used

Fit status

Runs well

Decode

36.9 tok/s

TTFT

5252 ms

Safe context

125K

Memory

7.3 GB / 17.3 GB

Memory breakdown

Weights2.3 GB
KV Cache1.5 GB
Runtime0.9 GB
Headroom2.6 GB

See how fast it feels

See how fast it feelsPhi-4 Mini Reasoning 4B on MacBook Air M4 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: 36.9 tok/s decode · 5.3s TTFT (warm) · 92 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

WorkloadGradeFitDecodeTTFTContext
ChatARuns well36.9 tok/s2865 ms125K
CodingSRuns well36.9 tok/s5252 ms125K
Agentic CodingSRuns well36.9 tok/s7639 ms125K
ReasoningSRuns well36.9 tok/s6207 ms125K
RAGSRuns well36.9 tok/s9549 ms125K

Quantization options

How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on MacBook Air M4 24GB (17.3 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.5 GB
LowA83
Q3_K_S
3
1.9 GB
LowA83
NVFP4
4
2.1 GB
MediumA83
Q4_K_M
4
2.3 GB
MediumA83
Q5_K_M
5
2.7 GB
HighA83
Q6_K
6
3.1 GB
HighA84
Q8_0
8
4.1 GB
Very HighA84
F16Best for your GPU
16
7.8 GB
MaximumS88

Get started

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

Run

ollama run phi4-mini

Your hardware

More models your MacBook Air M4 24GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen 3.5 9B		9BS15.6 tok/s
👁 Mistral
Magistral Small 2507		24BA7.3 tok/s
👁 Mistral
Devstral Small 2 24B Instruct		24BA7.3 tok/s
👁 Alibaba
Qwen 3 14B		14BS9.6 tok/s
👁 Alibaba
Qwen 3.5 4B		4BS35 tok/s

Frequently asked questions

See all results for MacBook Air M4 24GBSee all hardware for Phi-4 Mini Reasoning 4B