Can I Run Mistral Small 3.1 on Mac Studio (M3 Ultra, 256 GB)?
Written by Jakub Rusinowski · Last updated March 17, 2025
Yes — comfortably
Yes, comfortably — Mistral Small 3.1 24B at Q8_0 needs about 27.2 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~164.8 GB spare and running at ~16.6 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~16.6 tok/s
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Mac Studio (M3 Ultra, 256 GB) — what it gives a model
| Usable memory for models | 192 GB |
| Memory bandwidth | 819 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Mistral Small 3.1 on Mac Studio (M3 Ultra, 256 GB): memory by quantization
| Quant | Memory needed | Fits 192 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 49.3 GB | ✓ Yes | 64K | ~9.1 tok/s | 47.2 GB |
| Q8_0 | 27.2 GB | ✓ Yes | 64K | ~16.6 tok/s | 25.1 GB |
| Q6_K | 21.5 GB | ✓ Yes | 64K | ~21 tok/s | 19.4 GB |
| Q5_K_M | 18.9 GB | ✓ Yes | 64K | ~23.9 tok/s | 16.7 GB |
| Q4_K_M | 16.4 GB | ✓ Yes | 64K | ~27.6 tok/s | 14.2 GB |
| Q3_K_M | 12.2 GB | ✓ Yes | 64K | ~37.2 tok/s | 10.1 GB |
| Q2_K | 9.9 GB | ✓ Yes | 64K | ~45.9 tok/s | 7.8 GB |
What to watch out for
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Mac Studio M3 Ultra 256 GB limitations
- The largest single-box unified memory pool available, but at roughly half the memory bandwidth of a high-end discrete GPU — very large models load, then run slowly.
- Memory is soldered; the configuration chosen at purchase is permanent.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 256 GB unified memory at 819 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Mistral Small 3.1 on Mac Studio (M3 Ultra, 256 GB)?
Yes, comfortably — Mistral Small 3.1 24B at Q8_0 needs about 27.2 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~164.8 GB spare and running at ~16.6 tok/s (estimated), with room for about 65,536 tokens of context.
Which quantization of Mistral Small 3.1 should I use on Mac Studio (M3 Ultra, 256 GB)?
Q8_0 — it needs about 27.2 GB of the 192 GB available, downloads as roughly 25.1 GB, and runs at an estimated 16.6 tokens/sec with up to 64K of context.
What limits Mistral Small 3.1 on Mac Studio (M3 Ultra, 256 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on Mac Studio (M3 Ultra, 256 GB)
- Mistral Small 3.2 on Mac Studio (M3 Ultra, 256 GB)
- Mistral Small 4 on Mac Studio (M3 Ultra, 256 GB)
- Nemotron 3 Nano Omni on Mac Studio (M3 Ultra, 256 GB)
- Nemotron 3 Super on Mac Studio (M3 Ultra, 256 GB)
- Nemotron 70B on Mac Studio (M3 Ultra, 256 GB)
Mistral Small 3.1 on GPUs
- Mistral Small 3.1 on NVIDIA GeForce RTX 5090
- Mistral Small 3.1 on NVIDIA GeForce RTX 5080
- Mistral Small 3.1 on NVIDIA GeForce RTX 5070 Ti
- Mistral Small 3.1 on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
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