Can I Run Mistral Small 3.2 on Apple M5?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 6 września 2026
Yes, comfortably — Mistral Small 3.2 24B at Q4_K_M needs 16.7 GB at 8K context (14.2 GB weights + 2.5 GB KV cache/overhead), leaving ~7.3 GB of the Apple M5's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 32K context.
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Apple M5 Specs
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 153 GB/s |
Mistral Small 3.2 24B on the Apple M5: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 49.6 GB | ✗ No | — | — |
| Q8_0 | 27.5 GB | ✗ No | — | — |
| Q6_K | 21.8 GB | ✓ Yes | 16K | — |
| Q5_K_M | 19.2 GB | ✓ Yes | 16K | — |
| Q4_K_M | 16.7 GB | ✓ Yes | 32K | — |
| Q3_K_M | 12.5 GB | ✓ Yes | 32K | — |
| Q2_K | 10.2 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M5: 8K 16.7 GB · 32K 21.6 GB · 128K 41.4 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Mistral Small 3.2 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
Mistral Small 3.2 Sizes That Fit the Apple M5 (at 8K context)
| Mistral Small 3.2 24B | Q4_K_M · 16.7 GB at 8K context · ~5 tok/s (est.) |
Mistral Small 3.2 needs ~17 GB but this GPU has 32 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the Apple M5 have enough VRAM for Mistral Small 3.2?
Yes, comfortably — Mistral Small 3.2 24B at Q4_K_M needs 16.7 GB at 8K context (14.2 GB weights + 2.5 GB KV cache/overhead), leaving ~7.3 GB of the Apple M5's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 32K context.
Which quantization of Mistral Small 3.2 should I use on the Apple M5?
Mistral Small 3.2 24B at Q4_K_M quantization needs 16.7 GB at 8K context (14.2 GB weights + 2.5 GB KV cache/overhead), estimated ~5 tokens/sec, up to 32K context.
Mistral Small 3.2 on Other GPUs
- Mistral Small 3.2 on NVIDIA GeForce RTX 5090
- Mistral Small 3.2 on Apple M4
- Mistral Small 3.2 on Apple M2 Pro
- Mistral Small 3.2 on Apple M1 Pro
Popular Models on the Apple M5
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Mistral Small 3.2 Model Page | Apple M5 GPU Page | VRAM calculator | Check Your Hardware