llmrun

Apple · M4 · Mini PC

Best AI Models for Mac Mini M4 (16 GB)

Runs 9B models at 13 tok/s; 14B only just fits in 12.5 GB, and 27–31B doesn't fit.

16 GB unified12.5 GB for models120 GB/s9 TFLOPS FP1665 W2024
Buyabout $799

What LLMs can the Mac Mini M4 run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 6.6 GB · 13.2 t/s
13.2 tok/sQ4_K_M · 6.6 GB
2
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB · 25.8 t/s
25.8 tok/sQ4_K_M · 3.4 GB
3
Q4_K_M · 5.0 GB · 29.6 t/s
29.6 tok/sQ4_K_M · 5.0 GB
4
Q4_K_M · 7.9 GB · 15.8 t/s
15.8 tok/sQ4_K_M · 7.9 GB
5
Ling 3.0 TinyInclusion AI
Q4_K_M · 5.5 GB · 62.8 t/s
62.8 tok/sQ4_K_M · 5.5 GB
See all 281 models on the Mac Mini M4 →Bars = traction for models without a Score yet

About the Mac Mini M4 (16 GB)

The Mac Mini M4 is a mid-range 16 GB mini PC: it runs 9B models at 13 tok/s. Among 16 GB machines, only the M1 Pro, M2 Pro and M5 write faster. macOS keeps about 3.5 GB, leaving 12.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 46 s before the first word on Qwen3.5 9B. At its $799 MSRP it gives 16.5 tok/s per $1,000, 3rd of the 7 machines compared here. M4 generation, released 2024; the newer M5 writes 27% faster with 1.9× the compute.

Speed in 16 GB#4120 GB/s
Prompt reading#59 TFLOPS
For models12.5 GBmacOS keeps 3.5 GB
ChipM4released 2024

Mac Mini M4 strengths and weaknesses

Strengths

  • Low power draw: 65 W at full load for the whole machine

Weaknesses

  • 27–31B models don't fit: Qwen3.8 27B needs 17.9 GB at Q4 vs 12.5 GB usable here
  • Little room for context: Qwen3 14B uses 11.9 of 12.5 GB usable, 0.6 GB left
  • Slow prompt reading: A 32K-token prompt on Qwen3.5 9B waits 6.1 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

12.5 GB of 16 GB
9B6.6 GB14B11.9 GB
9B6.6 GB14B11.9 GB
For models 12.5 GBmacOS keeps 3.5 GBModel size at Q4

27–31B models need 17.9 GB at Q4, more than the 12.5 GB available. The 24 GB config fits Qwen3.8 27B →Or rent an RTX 3090 Ti (24 GB) from $0.24/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 has no current new price, so it is shown at its MSRP.

MachineNew pricetok/stok/s per $1,000tok/s per 100 W
about $1,59930.0
18.8
21.4
about $2,49945.1
18.0
31.1
about $79913.2
16.5
20.3
about $2,29933.8
14.7
–
about $99913.2
13.2
20.3
about $99913.2
13.2
–
about $1,83916.9
9.2
–
MachineUsed pricetok/stok/s per $1,000tok/s per 100 W
about $2,00045.1
22.6
31.1
about $2,10933.8
16.0
–

Cost per token: the Mac Mini M4 against 16–64 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.

≤16 GB24–36 GB48–64 GBthis mini PCat MSRP
Cost per 1M output tokenson Qwen3.5 9B · card over 3 years + power
$4.04
Machine, MSRP
$3.84
Power
$0.21
3-year cost of ownership$842
Or rent an RTX 3090 in the cloud$0.11/hr

Renting costs as much as buying after ≈7,500 hours (≈5.1 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 tokens per second by model size

Output speed depends on memory bandwidth (120 GB/s). Grey rows need more than the 12.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    13.2tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB tight · Q4_K_M
    8.8tok/s
  3. 27–31BQwen3.8 27B · not at 4-bit
    needs 17.9 GB
  4. 35B MoEQwen3.6 35B A3B · not at 4-bit
    needs 22.0 GB
  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

Chip generations: writing vs compute

M1 → M5
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×4×M12020M22023M32024M42024M52025M1 · 5.2 TFLOPS FP16M1 · 7.5 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 11.0 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 11.3 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 13.2 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 16.8 tok/s · 153 GB/sCompute 3.1×Writing +124%
1×2×3×4×M12020M22023M32024M42024M52025M1 · 5.2 TFLOPS FP16M1 · 7.5 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 11.0 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 11.3 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 13.2 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 16.8 tok/s · 153 GB/sCompute 3.1×Writing +124%

Writing speed follows memory bandwidth and barely moved: 7.5 to 16.8 tok/s since the M1. Compute, which sets how fast prompts are read, grew 3.1×. Indexed to the M1; speeds on Qwen3.5 9B, same 16 GB.

All 971 models on the Mac Mini M4

Featured only

Best quant that fits in 12.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with Mac Mini M4 (16 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Q4_K_M·168.0 t/s
0.6 GBS98, Runs great
Pythia 410M
Q4_K_M·254.5 t/s
0.3 GBS100, Runs great
Wald 26B A4B
Q3_K_S·33.1 t/s
12.3 GBC44, Usable
Q4_K_M·15.6 t/s
6.2 GBB55, Decent
Q4_K_M·39.8 t/s
2.6 GBA75, Runs well
Qwen3 VL 2B Thinking
Q4_K_M·46.4 t/s
3.5 GBA78, Runs well
Q4_K_M·8400.0 t/s
0.0 GBS100, Runs great
Q4_K_M·15.3 t/s
7.4 GBB55, Decent
Q4_K_M·41.0 t/s
3.3 GBA75, Runs well
Q4_K_M·14.5 t/s
6 GBB54, Decent
Llama 68M
Q4_K_M·2100.0 t/s
0.0 GBS100, Runs great
Q4_K_M·8400.0 t/s
0.0 GBS100, Runs great
Q4_K_M·13.8 t/s
8.8 GBB53, Decent
Q4_K_M·15.6 t/s
7.3 GBB55, Decent
Q4_K_M·560.0 t/s
0.1 GBS100, Runs great

Mac Mini M4 specs and power

Specs

Chip
M4
CPU cores
10
GPU cores
10
Unified memory
16 GB
For models
12.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
120 GB/s
FP16 (dense)
8.6 TFLOPS
Neural Engine
38 TOPS
Power
65 W max
Released
2024-11-08
MSRP
$799

Mac Mini M4 FAQ

Is the Mac Mini M4 (16 GB) worth it for local LLMs in 2026?

At its $799 MSRP it gives 16.5 tok/s per $1,000 on Qwen3.5 9B, 3rd of the 7 machines compared here. It runs 9B models at 13 tok/s; 14B only just fits in 12.5 GB, and 27–31B doesn't fit.

How much memory is available for AI on the Mac Mini M4 (16 GB)?

About 12.5 GB of the 16 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the Mac Mini M4 (16 GB) can run?

GPT OSS 20B (20.9B) is the largest at 4-bit or better: at Q4_K_S it uses 12.4 GB, 99% of the available memory, and runs at about 29.6 tok/s.

Can the Mac Mini M4 (16 GB) run Qwen3.5 9B?

Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of the 12.5 GB available, and it is the best model that runs well on this machine.

Can the Mac Mini M4 (16 GB) run 27–31B models?

No. Qwen3.8 27B needs 17.9 GB at Q4, more than the 12.5 GB available.

How long does the Mac Mini M4 (16 GB) take to read a long prompt?

On Qwen3.5 9B, about 46 s for a 4K-token prompt and 6.1 min for a 32K-token document before the first word appears.

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

An RTX 3090 (24 GB) rents from $0.11/hr. Renting costs as much as buying after ≈7,500 hours (≈5.1 years at 4 h a day).