Written by Jakub Rusinowski · Last updated April 22, 2026
Yes, comfortably — you'll have ~7.2 GB of headroom running Qwen 3.6 27B at Q4_K_M (16.8 GB, ~60 tok/s (est.)).
Check price on Amazon — NVIDIA GeForce RTX 4090 24GB
| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 65.3 GB | ✗ No | — |
| Q8_0 | 39.2 GB | ✗ No | — |
| Q6_K | 32.5 GB | ✗ No | — |
| Q5_K_M | 29.4 GB | ✗ No | — |
| Q4_K_M | 26.5 GB | ✗ No | — |
| Q3_K_M | 21.5 GB | ✓ Yes | 4K |
| Q2_K | 18.8 GB | ✓ Yes | 4K |
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.
| Qwen 3.6 27B | Q4_K_M · 16.8 GB · ~60 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 ~7.2 GB of headroom running Qwen 3.6 27B at Q4_K_M (16.8 GB, ~60 tok/s (est.)).
Qwen 3.6 27B at Q4_K_M quantization (16.8 GB), estimated ~60 tokens/sec.
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