作者： Jakub Rusinowski · 最后更新： 2026年9月11日
Yes, comfortably — you'll have ~15.2 GB of headroom running Qwen3.8 27B at Q4_K_M (16.772175 GB, ~5 tok/s (est.)) with room for up to 64K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 32 GB unified memory |
| Memory Bandwidth | 153 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context |
|---|---|---|---|
| F16 | 57.2 GB | ✗ No | — |
| Q8_0 | 31.2 GB | ✓ Yes | 4K |
| Q6_K | 24.5 GB | ✓ Yes | 32K |
| Q5_K_M | 21.4 GB | ✓ Yes | 32K |
| Q4_K_M | 18.4 GB | ✓ Yes | 64K |
| Q3_K_M | 13.5 GB | ✓ Yes | 64K |
| Q2_K | 10.8 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “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.
| Qwen3.8 27B | Q4_K_M · 16.772175 GB · ~5 tok/s (est.) |
At 2 hrs/day, buying (~$1,599) beats renting at $0.34/hr after about 6.5 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 ~15.2 GB of headroom running Qwen3.8 27B at Q4_K_M (16.772175 GB, ~5 tok/s (est.)) with room for up to 64K context.
Qwen3.8 27B at Q4_K_M quantization (16.772175 GB), estimated ~5 tokens/sec, up to 64K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Qwen3.8-Max | 1449.0 GB | Does not fit | — |
| Qwen3.8-Flash-Next | 108.7 GB | Does not fit | — |
| Qwen3.8 27B | 16.8 GB | Runs | ~5 tok/s |
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