作者： Jakub Rusinowski · 最后更新： 2026年9月6日
Yes, but it's tight — Mistral Small 3.2 24B at Q4_K_M needs 14.248500000000002 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, leaving only ~1.8 GB, ~45 tok/s (est.) with room for up to 4K context.
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| VRAM | 16 GB |
| Memory Bandwidth | 896 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 48.8 GB | ✗ No | — |
| Q8_0 | 26.7 GB | ✗ No | — |
| Q6_K | 21 GB | ✗ No | — |
| Q5_K_M | 18.3 GB | ✗ No | — |
| Q4_K_M | 15.9 GB | ✓ Yes | 4K |
| Q3_K_M | 11.7 GB | ✓ Yes | 16K |
| Q2_K | 9.4 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Mistral Small 3.2 24B | Q4_K_M · 14.248500000000002 GB · ~45 tok/s (est.) |
At 2 hrs/day, buying (~$749) beats renting at $0.34/hr after about 3.1 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, but it's tight — Mistral Small 3.2 24B at Q4_K_M needs 14.248500000000002 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, leaving only ~1.8 GB, ~45 tok/s (est.) with room for up to 4K context.
Mistral Small 3.2 24B at Q4_K_M quantization (14.248500000000002 GB), estimated ~45 tokens/sec, up to 4K context.
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