The best local LLM for a MacBook Air M3 (16 GB) is Phi-5 Large 28B at 6 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 M3). 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 | 6 tok/s est. | 36/50 |
| 2 | Gemma 4.5 12B | 12B | Gemma | 42 tok/s | 28/50 |
| 3 | Gemma 4.5 27B | 27B | Gemma | 7 tok/s est. | 32/50 |
| 4 | Qwen 4 4B | 4B | Apache 2.0 | 85 tok/s | 22/50 |
| 5 | Phi-5 Medium 14B | 14B | MIT | 32 tok/s | 28/50 |
| 6 | Phi-5 Mini | 4B | MIT | 88 tok/s | 18/50 |
| 7 | Llama 5 8B | 8B | Llama 5 | 58 tok/s | 20/50 |
| 8 | Mistral Voyage 24B | 24B | Apache 2.0 | 7 tok/s est. | 25/50 |
| 9 | Phi-4 Mini | 3.8B | MIT | 95 tok/s | 14/50 |
| 10 | Qwen 3.5 9B | 9B | Apache 2.0 | 58 tok/s | 18/50 |
| 11 | Devstral Small 24B | 24B | Apache 2.0 | 6 tok/s est. | 24/50 |
| 12 | Qwen 3 14B | 14B | Apache 2.0 | 30 tok/s | 20/50 |
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 M3 benchmark page for exact settings.
The MacBook Air M3 (16 GB) tops out at Phi-5 Large 28B. Newer Apple Silicon with more unified memory runs larger, smarter models much faster:
As an Amazon Associate, LLMCheck earns from qualifying purchases. Affiliate links cost you nothing extra and never influence our rankings.
Phi-5 Large 28B (28B, MIT) is the best all-round pick at 6 tok/s on the M3. If you want maximum speed, Phi-4 Mini hits 95 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.