Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes, comfortably — you'll have ~7.2 GB of headroom running Qwen3.8 27B at Q4_K_M (16.772175 GB, ~31 tok/s (est.)) with room for up to 16K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 24 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 57.2 GB | ✗ No | — |
| Q8_0 | 31.2 GB | ✗ No | — |
| Q6_K | 24.5 GB | ✗ No | — |
| Q5_K_M | 21.4 GB | ✓ Yes | 16K |
| Q4_K_M | 18.4 GB | ✓ Yes | 16K |
| Q3_K_M | 13.5 GB | ✓ Yes | 32K |
| 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 24 GB. 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 · ~31 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 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, comfortably — you'll have ~7.2 GB of headroom running Qwen3.8 27B at Q4_K_M (16.772175 GB, ~31 tok/s (est.)) with room for up to 16K context.
Qwen3.8 27B at Q4_K_M quantization (16.772175 GB), estimated ~31 tokens/sec, up to 16K 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 | ~31 tok/s |
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