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.
| # | Model | Speed | llmrun Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 13.2 t/s | 13.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 25.8 t/s | 25.8 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 29.6 t/s | 29.6 tok/s | Q4_K_M · 5.0 GB | |
| 4 | Q4_K_M · 7.9 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 7.9 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 62.8 t/s | 62.8 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Coding Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Q4_K_M · 7.9 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 7.9 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 25.8 t/s | 25.8 tok/s | overall | Q4_K_M · 3.4 GB |
| 3 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 15.2 t/s | 15.2 tok/s | overall | Q4_K_M · 7.6 GB |
| 4 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 62.8 t/s | 62.8 tok/s | Q4_K_M · 5.5 GB | |
| 5 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 5.6 GB |
| # | Model | Speed | Reasoning Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Qwen3 8BAlibabaHow to run → Q4_K_M · 7.6 GB · 15.2 t/s | 15.2 tok/s | Q4_K_M · 7.6 GB | |
| 2 | Q4_K_M · 7.9 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 7.9 GB | |
| 3 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 29.6 t/s | 29.6 tok/s | Q4_K_M · 5.0 GB | |
| 4 | Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 16.8 t/s | 16.8 tok/s | Q4_K_M · 5.8 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 62.8 t/s | 62.8 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Long context Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.8 t/s | 25.8 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Q4_K_M · 7.9 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 7.9 GB | |
| 3 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 62.8 t/s | 62.8 tok/s | Q4_K_M · 5.5 GB | |
| 4 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 5.6 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.5 t/s | 24.5 tok/s | Q4_K_M · 3.5 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.8 t/s | 25.8 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 62.8 t/s | 62.8 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.5 t/s | 24.5 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 15.8 t/s | 15.8 tok/s | Q4_K_M · 5.6 GB | |
| 5 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 15.2 t/s | 15.2 tok/s | Q4_K_M · 7.6 GB |
| # | Model | Speed | Vision Score | Quant · Memory |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.8 t/s | 25.8 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 29.6 t/s | 29.6 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 13.2 t/s | 13.2 tok/s | Q4_K_M · 6.6 GB | |
| 4 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 65.6 t/s | 65.6 tok/s | Q4_K_M · 1.6 GB | |
| 5 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 49.4 t/s | 49.4 tok/s | Q4_K_M · 2.4 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.
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 GB27–31B 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.
| Machine | New price | tok/s | tok/s per $1,000 | tok/s per 100 W |
|---|---|---|---|---|
Mac Mini M4 Pro24 GB | about $1,599 | 30.0 | 18.8 | 21.4 |
Mac Studio M4 Max36 GB | about $2,499 | 45.1 | 18.0 | 31.1 |
Mac Mini M416 GB | about $799 | 13.2 | 16.5 | 20.3 |
| about $2,299 | 33.8 | 14.7 | – | |
Mac Mini M432 GB | about $999 | 13.2 | 13.2 | 20.3 |
MacBook Air 13" M416 GB | about $999 | 13.2 | 13.2 | – |
MacBook Pro 14 M532 GB | about $1,839 | 16.9 | 9.2 | – |
| Machine | Used price | tok/s | tok/s per $1,000 | tok/s per 100 W |
|---|---|---|---|---|
Mac Studio M4 Max36 GB | about $2,000 | 45.1 | 22.6 | 31.1 |
| about $2,109 | 33.8 | 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.
- Machine, MSRP
- $3.84
- Power
- $0.21
Renting costs as much as buying after ≈6,900 hours (≈4.7 years at 4 h a day).
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
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.
Output speed depends on memory bandwidth (120 GB/s). Grey rows need more than the 12.5 GB available.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB13.2tok/s
- 8.8tok/s
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
Chip generations: writing vs compute
M1 → M5Writing 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 onlyBest quant that fits in 12.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
Qwen3 1.7BChat | Q4_K_M | 2.8 GB | 75.0 t/s | — | S86, Runs great | |
| Q4_K_M | 11.0 GB | 10.4 t/s | 1024K | C38, Usable | ||
PowerMoE 3BChat | Q4_K_M | 2.6 GB | 67.9 t/s | 4K | S85, Runs great | |
Qwen3.5 0.8B BaseVision | Q4_K_M | 0.9 GB | 96.6 t/s | 262K | S90, Runs great | |
| Q4_K_M | 5.6 GB | 56.2 t/s | 128K | A82, Runs well | ||
Typhoon Ocr1.5 2BVisionFunctions | Q4_K_M | 3.5 GB | 46.4 t/s | 262K | A78, Runs well | |
Translategemma 4B ITVision | Q4_K_M | 5 GB | 29.6 t/s | — | A70, Runs well | |
| Q4_K_M | 4.5 GB | 26.8 t/s | 262K | A68, Runs well | ||
| Q3_K_M | 10.8 GB | 33.3 t/s | 131K | B64, Decent | ||
Bloomz 560MChat | Q4_K_M | 0.4 GB | 227.0 t/s | 2K | S100, Runs great | |
| Q4_K_M | 3.7 GB | 31.7 t/s | 8K | A71, Runs well | ||
Ethereal Stardust 12BChatRoleplay | Q4_K_M | 11.0 GB | 10.4 t/s | 131K | C38, Usable | |
| Q4_K_M | 0.3 GB | 280.0 t/s | 1K | S100, Runs great | ||
| Q4_K_M | 0.1 GB | 1400.0 t/s | 2K | S100, Runs great | ||
| Q4_K_M | 4.2 GB | 29.0 t/s | 33K | A69, Runs well |
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 $0.12/hr. Renting costs as much as buying after ≈6,900 hours (≈4.7 years at 4 h a day).