The best local LLM for a Mac mini M2 Pro (16 GB) is Phi-5 Large 28B at 13 tok/s. With 16 GB of unified memory it runs 27 of the models we benchmark — from compact options up to 28B-class models. For everyday chat and coding, Phi-5 Large 28B is the sweet spot. Full ranking below.
Ranked by LLMCheck suitability (capability balanced against real speed on the M2 Pro). Click a model for its full benchmark and setup. Speeds marked est. are scaled from measured runs by memory bandwidth.
| # | Model | Size | License | Speed | Capability |
|---|---|---|---|---|---|
| 1 | Phi-5 Large 28B | 28B | MIT | 13 tok/s est. | 36/50 |
| 2 | Gemma 4.5 27B | 27B | Gemma | 14 tok/s est. | 32/50 |
| 3 | Gemma 4.5 12B | 12B | Gemma | 25 tok/s est. | 28/50 |
| 4 | Phi-5 Medium 14B | 14B | MIT | 22 tok/s est. | 28/50 |
| 5 | Qwen 4 4B | 4B | Apache 2.0 | 45 tok/s est. | 22/50 |
| 6 | Mistral Voyage 24B | 24B | Apache 2.0 | 14 tok/s est. | 25/50 |
| 7 | Devstral Small 24B | 24B | Apache 2.0 | 13 tok/s est. | 24/50 |
| 8 | Llama 5 8B | 8B | Llama 5 | 37 tok/s est. | 20/50 |
| 9 | Phi-5 Mini | 4B | MIT | 47 tok/s est. | 18/50 |
| 10 | Qwen 3 14B | 14B | Apache 2.0 | 18 tok/s est. | 20/50 |
| 11 | Qwen 3.5 9B | 9B | Apache 2.0 | 33 tok/s est. | 18/50 |
| 12 | Phi-4 14B | 14B | MIT | 18 tok/s est. | 19/50 |
Showing the top 12 of 27 models that fit in 16 GB. See the full leaderboard or all benchmarks.
The fastest way to get started is Ollama. Install it, then pull the top pick for your Mac:
Prefer a GUI? LM Studio gives you a one-click download and chat window. For step-by-step help see our Ollama install guide, or open the Phi-5 Large 28B on M2 Pro benchmark page for exact settings.
The Mac mini M2 Pro (16 GB) tops out at Phi-5 Large 28B. Newer Apple Silicon with more unified memory runs larger, smarter models much faster:
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Phi-5 Large 28B (28B, MIT) is the best all-round pick at 13 tok/s on the M2 Pro. If you want maximum speed, Gemma 4 E2B hits 52 tok/s; for maximum capability, Gemma 4.5 27B still fits in 16 GB.
About 27 of the 79 models in the LLMCheck leaderboard fit in 16 GB of unified memory, from compact models up to Phi-5 Large 28B (28B).
Not comfortably. A 70B model in Q4 needs ~40–44 GB; with 16 GB you should stick to models up to ~10 GB, such as Phi-5 Large 28B. For 70B, look at a 48 GB+ Mac.
16 GB is great for small-to-mid models (up to ~14B comfortably); for 30B+ you'll want 32 GB or more. Because Apple Silicon uses unified memory, that figure is both your system RAM and your VRAM.