llmrun

Apple · M4 Pro · Mini PC

Best AI Models for Mac Mini M4 Pro (24 GB)

Runs 14B models well and fits 35B MoE; dense 27–31B fits but is slow at 11 tok/s, and 70B doesn't fit in 20.5 GB.

24 GB unified20.5 GB for models273 GB/s17 TFLOPS FP16140 W2024
Buyabout $1,599

What LLMs can the Mac Mini M4 Pro run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 17.9 GB · 11.0 t/s
11.0 tok/sQ4_K_M · 17.9 GB
2
Q4_K_M · 17.9 GB · 11.0 t/s
11.0 tok/sQ4_K_M · 17.9 GB
3
Q4_K_M · 16.5 GB · 49.1 t/s
49.1 tok/sQ4_K_M · 16.5 GB
4
Q4_K_M · 13.1 GB · 54.5 t/s
54.5 tok/sQ4_K_M · 13.1 GB
5
Q4_K_M · 15.0 GB · 62.7 t/s
62.7 tok/sQ4_K_M · 15.0 GB
See all 320 models on the Mac Mini M4 Pro →Bars = traction for models without a Score yet

About the Mac Mini M4 Pro (24 GB)

The Mac Mini M4 Pro is one of the fastest 24 GB machines: it runs 14B models well and fits 35B MoE. Among 24 GB machines, only the M5 Pro write faster. macOS keeps about 3.5 GB, leaving 20.5 GB for models. With 17 TFLOPS it reads long prompts faster than most 24 GB machines: a 4K-token prompt takes 66 s. At its $1,599 MSRP it gives 18.8 tok/s per $1,000, 2nd of the 8 machines compared here. M4 Pro generation, released 2024; the newer M5 Pro writes 13% faster with 1.5× the compute.

Speed in 24 GB#2273 GB/s
Prompt reading#217 TFLOPS
For models20.5 GBmacOS keeps 3.5 GB
ChipM4 Proreleased 2024

Mac Mini M4 Pro strengths and weaknesses

Strengths

  • Runs 35B MoE models: Qwen3.6 35B A3B at 46.3 tok/s in 19.8 GB
  • Low power draw: 140 W at full load for the whole machine

Weaknesses

  • 70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 20.5 GB usable here
  • Slow on large dense models: Qwen3.8 27B at 11.0 tok/s
  • Slow prompt reading: A 32K-token prompt on Qwen3.8 27B waits 8.8 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

20.5 GB of 24 GB
9B6.6 GB14B11.9 GB27–31B17.9 GB35B MoE19.8 GB
9B6.6 GB14B11.9 GB35B MoE19.8 GB
For models 20.5 GBmacOS keeps 3.5 GBModel size at Q4

70B models need 51.3 GB at Q4, more than the 20.5 GB available. The 48 GB config fits Qwen3.8 27B →Or rent an H100 (80 GB) from $2.69/hr →

Speed per dollar and per watt

On Qwen3.5 9B (9B params) at Q4_K_M. New means a shop price, either a street quote or the maker's own price; used is compared with used. The last two columns are the speed you get per $1,000 of price and per 100 W of power; higher is better. The Mac Mini M4 Pro has no current new price, so it is shown at its MSRP.

MachineNew pricetok/stok/s per $1,000tok/s per 100 W
about $5,376183
34.1
31.8
about $1,59930.0
18.8
21.4
about $2,49945.1
18.0
31.1
about $1,99930.0
15.0
–
about $2,29933.8
14.7
–
about $2,19930.0
13.6
21.4
about $2,49930.0
12.0
–
about $1,39913.2
9.4
–
MachineUsed pricetok/stok/s per $1,000tok/s per 100 W
RTX 409024 GBBest used value
about $3,000103
34.3
22.9
about $6,400183
28.6
31.8
about $2,00045.1
22.6
31.1
about $2,10933.8
16.0
–

Cost per token: the Mac Mini M4 Pro against 24–64 GB machines and GPUs

On Qwen3.5 9B (9B params, Q4_K_M, 4K context). Speed, cost per token and power per token depend on the model.

24–36 GB48–64 GBthis mini PCat MSRP
Cost per 1M output tokenson Qwen3.5 9B · card over 3 years + power
$3.57
Machine, MSRP
$3.38
Power
$0.19
3-year cost of ownership$1,691
Or rent an RTX 5090 in the cloud$0.50/hr

Renting costs as much as buying after ≈3,200 hours (≈2.2 years at 4 h a day).

Include card price

Each dot is a machine or GPU; hover or tap it for its numbers, click to open it. Machines without a price for the chosen basis are left out. Machines without a published power figure are left out of Per watt and costed without power. How we calculate cost per token

Similar devices and alternatives

Other memory sizes of the same machine first, then machines and GPUs people weigh against it, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

Mac Mini M4 Pro tokens per second by model size

Output speed depends on memory bandwidth (273 GB/s). Grey rows need more than the 20.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    30.0tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    20.1tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    11.0tok/s
  4. 35B MoEQwen3.6 35B A3B · IQ4_XS · 19.8 GB tight · IQ4_XS
    46.3tok/s
  5. 70BLlama 3.3 70B Instruct · not at 4-bit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · not at 4-bit
    needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

Pro generations: writing vs compute

M1 Pro → M5 Pro
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×4×M1 Pro2021M2 Pro2023M3 Pro2023M4 Pro2024M5 Pro2026M1 Pro · 9.1 TFLOPS FP16M1 Pro · 22.0 tok/s · 200 GB/sM2 Pro · 11.5 TFLOPS FP16M2 Pro · 22.0 tok/s · 200 GB/sM3 Pro · 10.0 TFLOPS FP16M3 Pro · 16.5 tok/s · 150 GB/sM4 Pro · 17.2 TFLOPS FP16M4 Pro · 30.0 tok/s · 273 GB/sM5 Pro · 25.8 TFLOPS FP16M5 Pro · 33.8 tok/s · 307 GB/sCompute 2.8×Writing +54%
1×2×3×4×M12021M22023M32023M42024M52026M1 Pro · 9.1 TFLOPS FP16M1 Pro · 22.0 tok/s · 200 GB/sM2 Pro · 11.5 TFLOPS FP16M2 Pro · 22.0 tok/s · 200 GB/sM3 Pro · 10.0 TFLOPS FP16M3 Pro · 16.5 tok/s · 150 GB/sM4 Pro · 17.2 TFLOPS FP16M4 Pro · 30.0 tok/s · 273 GB/sM5 Pro · 25.8 TFLOPS FP16M5 Pro · 33.8 tok/s · 307 GB/sCompute 2.8×Writing +54%

Writing speed follows memory bandwidth and barely moved: 22.0 to 33.8 tok/s since the M1 Pro. Compute, which sets how fast prompts are read, grew 2.8×. Indexed to the M1 Pro; speeds on Qwen3.5 9B, same 16 GB.

All 1125 models on the Mac Mini M4 Pro

Featured only

Best quant that fits in 20.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with Mac Mini M4 Pro (24 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Q4_K_M·90.6 t/s
2.6 GBS90, Runs great
Q4_K_M·65.9 t/s
4.2 GBS85, Runs great
Llama XLAM 2 8B Fc R
Q4_K_M·35.5 t/s
7.3 GBA73, Runs well
MiroThinker 1.7 Mini
Q4_K_M·49.1 t/s
19.4 GBB56, Decent
Hermes 3 Llama 3.2 3B
Q4_K_M·82.0 t/s
4.0 GBS88, Runs great
MiMo 7B RL
Q4_K_M·36.1 t/s
7.4 GBA73, Runs well
Q4_K_M·637.0 t/s
0.3 GBS100, Runs great
Q4_K_M·269.2 t/s
1.0 GBS100, Runs great
Qwen2.5 1.5B Instruct
Q4_K_M·149.3 t/s
1.7 GBS97, Runs great
Q4_K_M·33.8 t/s
7.5 GBA73, Runs well
Llama 3.2 1B
Q4_K_M·172.2 t/s
1.6 GBS98, Runs great
Gemma 4 E4B Luchador
BF16·11.6 t/s
16.8 GBB48, Decent
Q4_K_M·10.7 t/s
19.3 GBD28, Barely runs
Gpt2 Mini
Q4_K_M·6370.0 t/s
0.0 GBS100, Runs great
BF16·70.0 t/s
4.3 GBS86, Runs great

Mac Mini M4 Pro specs and power

Specs

Chip
M4 Pro
CPU cores
14
GPU cores
20
Unified memory
24 GB
For models
20.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
273 GB/s
FP16 (dense)
17.2 TFLOPS
Neural Engine
38 TOPS
Power
140 W max
Released
2024-11-08
MSRP
$1,599

Mac Mini M4 Pro FAQ

Is the Mac Mini M4 Pro (24 GB) worth it for local LLMs in 2026?

At its $1,599 MSRP it gives 18.8 tok/s per $1,000 on Qwen3.5 9B, 2nd of the 8 machines compared here. It runs 14B models well and fits 35B MoE; dense 27–31B fits but is slow at 11 tok/s, and 70B doesn't fit in 20.5 GB.

How much memory is available for AI on the Mac Mini M4 Pro (24 GB)?

About 20.5 GB of the 24 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the Mac Mini M4 Pro (24 GB) can run?

Qwen3.6 35B A3B (36.0B) is the largest at 4-bit or better: at IQ4_XS it uses 19.8 GB, 97% of the available memory, and runs at about 46.3 tok/s.

Can the Mac Mini M4 Pro (24 GB) run Qwen3.8 27B?

Yes. Qwen3.8 27B fits at Q4_K_M, using 17.9 GB of the 20.5 GB available, and it is the best model that runs well on this machine.

Can the Mac Mini M4 Pro (24 GB) run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 20.5 GB available.

How long does the Mac Mini M4 Pro (24 GB) take to read a long prompt?

On Qwen3.8 27B, about 66 s for a 4K-token prompt and 8.8 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the Mac Mini M4 Pro?

An RTX 5090 (32 GB) rents from $0.50/hr. Renting costs as much as buying after ≈3,200 hours (≈2.2 years at 4 h a day).