The best local LLM for a Mac Studio M4 Ultra (192 GB) is DeepSeek V4 Flash at 71 tok/s. With 192 GB of unified memory it runs 60 of the models we benchmark — from compact options up to 284B-class models. For everyday chat and coding, DeepSeek V4 Flash is the sweet spot. Full ranking below.
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Ranked by LLMCheck suitability (capability balanced against speed on the M4 Ultra). Click a model for its full benchmark and setup. All speeds are index estimates (memory-bandwidth model, cross-referenced with sourced benchmarks where available) — submit a real run →
| # | Model | Size | License | Speed | Capability |
|---|---|---|---|---|---|
| 1 | DeepSeek V4 Flash | 284B | MIT | 71 tok/s est. | 47/50 |
| 2 | Qwen3.8-27B | 27.8B | Apache 2.0 | 53 tok/s est. | 46/50 |
| 3 | Inkling-Small | 276B | Apache 2.0 | 40 tok/s est. | 46/50 |
| 4 | Qwen 3.6-27B | 27B | Apache 2.0 | 55 tok/s est. | 44/50 |
| 5 | KAT-Coder-V2.5 | 35B | Apache 2.0 | 95 tok/s est. | 39/50 |
| 6 | Qwen 3.6-35B-A3B | 35B | Apache 2.0 | 95 tok/s est. | 38/50 |
| 7 | Nemotron 3.5 Lightning | 30B | OpenMDW | 109 tok/s est. | 36/50 |
| 8 | Qwen3-235B-A22B | 235B | Apache 2.0 | 22 tok/s | 46/50 |
| 9 | Laguna S 2.1 | 118B | OpenMDW | 47 tok/s est. | 43/50 |
| 10 | Muse Glimmer 30B | 30B | Apache 2.0 | 49 tok/s est. | 42/50 |
| 11 | Gemma 4 31B | 31B | Apache 2.0 | 47 tok/s est. | 40/50 |
| 12 | Gemma 4 26B-A4B | 26B | Apache 2.0 | 87 tok/s est. | 35/50 |
Showing the top 12 of 60 models that fit in 192 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 DeepSeek V4 Flash on M4 Ultra benchmark page for exact settings.
The Mac Studio M4 Ultra (192 GB) comfortably runs 60 of the models we benchmark, led by DeepSeek V4 Flash. Grab one and start running LLMs offline today:
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DeepSeek V4 Flash (284B, MIT) is the best all-round pick at 71 tok/s on the M4 Ultra. If you want maximum speed, Maple Preview 20B-A1B hits 511 tok/s; for maximum capability, Qwen3.8-27B still fits in 192 GB.
About 60 of the 81 models in the LLMCheck leaderboard fit in 192 GB of unified memory, from compact models up to DeepSeek V4 Flash (284B).
Yes. A 70B model in Q4 quantization needs roughly 40–44 GB of memory, which fits in 192 GB with headroom for context.
192 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.