Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~17.8 GB of headroom running Mistral Small 3.1 24B at Q4_K_M (14.2 GB, ~7 tok/s (est.)) with room for up to 64K context.
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| VRAM | 32 GB unified memory |
| Memory Bandwidth | 200 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 48.7 GB | ✗ No | — | — |
| Q8_0 | 26.5 GB | ✓ Yes | 32K | Build for this |
| Q6_K | 20.8 GB | ✓ Yes | 64K | — |
| Q5_K_M | 18.2 GB | ✓ Yes | 64K | — |
| Q4_K_M | 15.7 GB | ✓ Yes | 64K | Build for this |
| Q3_K_M | 11.5 GB | ✓ Yes | 64K | — |
| Q2_K | 9.2 GB | ✓ Yes | 64K | — |
Assumes a 4K-token context with an f16 KV cache. 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 M2 Pro: 8K 16.4 GB · 32K 20.4 GB · 125K 36 GB ✗. Past 125K 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 3.1 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
| Mistral Small 3.1 24B | Q4_K_M · 14.2 GB · ~7 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~17.8 GB of headroom running Mistral Small 3.1 24B at Q4_K_M (14.2 GB, ~7 tok/s (est.)) with room for up to 64K context.
Mistral Small 3.1 24B at Q4_K_M quantization (14.2 GB), estimated ~7 tokens/sec, up to 64K context.
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