Can I Run Mistral Small 3.1 on MacBook Pro 16" (M4 Max, 48 GB)?
Written by Jakub Rusinowski · Last updated March 17, 2025
Yes
Yes — Mistral Small 3.1 24B at Q8_0 needs about 27.2 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB) (~8.8 GB spare), at ~11.2 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~11.2 tok/s
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MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model
| Usable memory for models | 36 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $3,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
Mistral Small 3.1 on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization
| Quant | Memory needed | Fits 36 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 49.3 GB | ✗ No | — | — | 47.2 GB |
| Q8_0 | 27.2 GB | ✓ Yes | 32K | ~11.2 tok/s | 25.1 GB |
| Q6_K | 21.5 GB | ✓ Yes | 64K | ~14.3 tok/s | 19.4 GB |
| Q5_K_M | 18.9 GB | ✓ Yes | 64K | ~16.4 tok/s | 16.7 GB |
| Q4_K_M | 16.4 GB | ✓ Yes | 64K | ~18.9 tok/s | 14.2 GB |
| Q3_K_M | 12.2 GB | ✓ Yes | 64K | ~25.7 tok/s | 10.1 GB |
| Q2_K | 9.9 GB | ✓ Yes | 64K | ~32.1 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.
MacBook Pro M4 Max 48 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.
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.
- 48 GB unified memory at 546 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 MacBook Pro 16" (M4 Max, 48 GB)?
Yes — Mistral Small 3.1 24B at Q8_0 needs about 27.2 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB) (~8.8 GB spare), at ~11.2 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Mistral Small 3.1 should I use on MacBook Pro 16" (M4 Max, 48 GB)?
Q8_0 — it needs about 27.2 GB of the 36 GB available, downloads as roughly 25.1 GB, and runs at an estimated 11.2 tokens/sec with up to 32K of context.
What limits Mistral Small 3.1 on MacBook Pro 16" (M4 Max, 48 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
- Mistral Small 3.1 on MacBook Pro M4 Max 128 GB
- Mistral Small 3.1 on MacBook Pro M4 Pro 24 GB
- Mistral Small 3.1 on MacBook Air M4 16 GB
Other Models on MacBook Pro 16" (M4 Max, 48 GB)
- Mistral Small 3.2 on MacBook Pro 16" (M4 Max, 48 GB)
- Nemotron 3 Nano Omni on MacBook Pro 16" (M4 Max, 48 GB)
- Nemotron 70B on MacBook Pro 16" (M4 Max, 48 GB)
- Nemotron Cascade 2 on MacBook Pro 16" (M4 Max, 48 GB)
- Nex-N2 on MacBook Pro 16" (M4 Max, 48 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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