The best local LLM for a Mac mini M4 Pro (64 GB) is Qwen 3.6-35B-A3B at 86 tok/s (estimated). With 64 GB of unified memory it runs 55 of the models in the LLMCheck index — from compact options up to 119B-class models. For everyday chat and coding, Qwen 3.6-35B-A3B is the sweet spot. Full ranking below.
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Mac mini M4 Pro (64GB) on Amazon → · not sure? the Mac Advisor picks a config →
Ranked by LLMCheck suitability (capability balanced against speed on the M4 Pro). Click a model for its full benchmark and setup. Every speed carries its provenance mark: most are index estimates from the memory-bandwidth model, and a filled square is a published measurement — submit a real run →
| # | Model | Size | License | Speed | Capability |
|---|---|---|---|---|---|
| 1 | Qwen 3.6-35B-A3B | 35B | Apache 2.0 | estimated86 tok/s | 38/50 |
| 2 | KAT-Coder-V2.5 | 35B | Apache 2.0 | estimated77 tok/s | 39/50 |
| 3 | Qwen3.8-27B | 27.8B | Apache 2.0 | estimated13 tok/s | 46/50 |
| 4 | Qwen 3.6-27B | 27B | Apache 2.0 | estimated14 tok/s | 44/50 |
| 5 | Nemotron 3.5 Lightning | 30B | OpenMDW | estimated64 tok/s | 36/50 |
| 6 | Muse Glimmer 30B | 30B | Apache 2.0 | community10 tok/s | 42/50 |
| 7 | Gemma 4 26B-A4B | 26B | Apache 2.0 | estimated67 tok/s | 35/50 |
| 8 | Laguna XS 2.1 | 33B | OpenMDW | estimated77 tok/s | 33/50 |
| 9 | Gemma 4 31B | 31B | Apache 2.0 | estimated12 tok/s | 40/50 |
| 10 | Qwen3-Coder-Next | 80B | Apache 2.0 | estimated44 tok/s | 35/50 |
| 11 | Nemotron-Cascade 2 | 30B | NVIDIA Open | estimated77 tok/s | 30/50 |
| 12 | Mistral Small 4 | 119B | Apache 2.0 | estimated22 tok/s | 34/50 |
Showing the top 12 of 55 models that fit in 64 GB. See the full leaderboard or all benchmarks.
The fastest way to get started is Ollama. Install it, then find the top pick for your Mac in its library and copy the exact tag it lists:
Find Qwen 3.6-35B-A3B in the Ollama library → · model card on Hugging Face →
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 Qwen 3.6-35B-A3B on M4 Pro benchmark page for exact settings.
The Mac mini M4 Pro (64 GB) comfortably runs 55 of the models in the LLMCheck index, led by Qwen 3.6-35B-A3B. Grab one and start running LLMs offline today:
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Qwen 3.6-35B-A3B (35B, Apache 2.0) is the best all-round pick at 86 tok/s (estimated) on the M4 Pro. If you want maximum speed, Maple Preview 20B-A1B hits 262 tok/s (estimated); for maximum capability, Qwen3.8-27B still fits in 64 GB.
About 55 of the 91 models in the LLMCheck leaderboard fit in 64 GB of unified memory, from compact models up to Mistral Small 4 (119B).
Yes. A 70B model in Q4 quantization needs roughly 40–44 GB of memory, which fits in 64 GB with headroom for context.
64 GB is plenty for local AI — you can run capable 30B–70B-class models. Because Apple Silicon uses unified memory, that figure is both your system RAM and your VRAM.