Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, but it's tight — Qwen 3.7 35B-A3B at Q4_K_M needs 21.13125 GB of the NVIDIA GeForce RTX 4090's 24 GB, leaving only ~2.9 GB, ~193 tok/s (est.) with room for up to 8K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 71.7 GB | ✗ No | — |
| Q8_0 | 38.9 GB | ✗ No | — |
| Q6_K | 30.4 GB | ✗ No | — |
| Q5_K_M | 26.5 GB | ✗ No | — |
| Q4_K_M | 22.9 GB | ✓ Yes | 8K |
| Q3_K_M | 16.7 GB | ✓ Yes | 32K |
| Q2_K | 13.2 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 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Qwen 3.7 35B-A3B | Q4_K_M · 21.13125 GB · ~193 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, but it's tight — Qwen 3.7 35B-A3B at Q4_K_M needs 21.13125 GB of the NVIDIA GeForce RTX 4090's 24 GB, leaving only ~2.9 GB, ~193 tok/s (est.) with room for up to 8K context.
Qwen 3.7 35B-A3B at Q4_K_M quantization (21.13125 GB), estimated ~193 tokens/sec, up to 8K context.
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