GPU GUIDE · APPLE

Best AI models for the
Apple M4 (24GB)

The Apple M4 (24GB) has 24.0GB of unified memory. Below are the top 30 open-source AI models that fit, ranked by composite benchmark score. Each row shows the best quantization that fits your hardware.

VRAM
24.0GB
Brand
apple
Models that fit
30
Generation
M4

Top 30 models for the Apple M4 (24GB)

01

Qwen 3.6 27B

27.0B
76.4
Best fit: Q6_K · 23.2GBCan I run it? →
02

DeepSeek V4 Flash

37.0B
77.5
Best fit: Q4_K_M · 23.4GBCan I run it? →
03

Qwen 3.6 35B A3B

35.0B
72.5
Best fit: Q4_K_M · 22.2GBCan I run it? →
04

Qwen3.5-27B

27.8B
70.1
Best fit: Q6_K · 23.9GBCan I run it? →
05

Gemma 4 31B (free)

31.0B
65.3
Best fit: Q5_K_M · 23.0GBCan I run it? →
06

Qwen 3.5 35B A3B

35.0B
61.9
Best fit: Q4_K_M · 22.2GBCan I run it? →
07

Qwen 3.5 9B

9.0B
54.0
Best fit: fp16 · 19.0GBCan I run it? →
08

gemma 4 31B

32.7B
53.8
Best fit: Q5_K_S · 23.6GBCan I run it? →
09

Gemma 4 26B A4B (free)

26.5B
52.0
Best fit: Q6_K · 22.8GBCan I run it? →
10

Qwen 3.5 4B

4.0B
45.1
Best fit: fp16 · 9.0GBCan I run it? →
11

GPT-OSS 20B

20.0B
40.8
Best fit: Q8_0 · 22.3GBCan I run it? →
12

Nemotron 3 Nano 30B A3B (free)

31.6B
40.5
Best fit: Q4_K_M · 20.2GBCan I run it? →
13

Qwen3 30B A3B Thinking 2507

30.5B
37.4
Best fit: Q5_K_M · 22.7GBCan I run it? →
14

Devstral 2

24.0B
36.7
Best fit: Q6_K · 20.8GBCan I run it? →
15

Nemotron 3 Nano Omni 30B A3B Reasoning BF16

30.0B
35.7
Best fit: Q5_K_M · 22.3GBCan I run it? →
16

Qwen3 Coder 30B A3B Instruct

30.5B
33.3
Best fit: Q5_K_M · 22.7GBCan I run it? →
17

QwQ 32B

32.0B
32.9
Best fit: Q5_K_M · 23.7GBCan I run it? →
18

Qwen3 VL 30B A3B Thinking

31.1B
32.8
Best fit: Q5_K_M · 23.1GBCan I run it? →
19

Devstral Small 2 24B Instruct 2512

24.0B
32.4
Best fit: Q6_K · 20.8GBCan I run it? →
20

Devstral Small 2

7.0B
31.7
Best fit: fp16 · 15.0GBCan I run it? →
21

gemma 4 E4B it

8.0B
31.3
Best fit: fp16 · 17.0GBCan I run it? →
22

Qwen3 4B Thinking 2507

4.0B
30.3
Best fit: fp16 · 9.0GBCan I run it? →
23

Qwen3 VL 32B Instruct

33.4B
28.7
Best fit: Q4_1 · 21.9GBCan I run it? →
24

Qwen3 VL 8B Thinking

8.8B
27.8
Best fit: fp16 · 18.6GBCan I run it? →
25

DeepSeek R1 Distill Qwen 32B

32.8B
28.6
Best fit: Q4_K_M · 20.9GBCan I run it? →
26

DeepSeek R1 0528 Qwen3 8B

8.2B
27.4
Best fit: Q8_0 · 9.7GBCan I run it? →
27

Qwen3 32B

32.8B
27.5
Best fit: Q5_K_S · 23.6GBCan I run it? →
28

Qwen 3.5 2B

2.0B
27.2
Best fit: fp16 · 5.0GBCan I run it? →
29

Qwen3 14B

14.8B
27.0
Best fit: Q8_0 · 16.7GBCan I run it? →
30

Ministral 3 14B

14.0B
26.7
Best fit: Q8_0 · 15.9GBCan I run it? →
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FAQ — running AI on the Apple M4 (24GB)

How many AI models can the Apple M4 (24GB) run?

With 24.0GB of unified memory, the Apple M4 (24GB) can run 30+ open-source models from our database, including Qwen 3.6 27B, DeepSeek V4 Flash, Qwen 3.6 35B A3B.

What's the largest LLM I can run on a Apple M4 (24GB)?

The biggest model that fits is approximately 37.0B. Larger models would need to be quantized further or won't fit at all.

Is 24.0GB of unified memory enough for local AI?

Yes — 24.0GB comfortably runs most popular open-source models including 30B-class LLMs at Q4_K_M.