Can I Run Qwen 3.6 on NVIDIA GeForce RTX 4090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, but it's tight — Qwen 3.6 35B-A3B at Q4_K_M needs 22.2 GB at 8K context (21.1 GB weights + 1.1 GB KV cache/overhead), leaving ~1.8 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~230 tok/s (est.), with room for up to 64K context.
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NVIDIA GeForce RTX 4090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
Qwen 3.6 35B-A3B on the NVIDIA GeForce RTX 4090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71 GB | ✗ No | — | — |
| Q8_0 | 38.2 GB | ✗ No | — | Build for this |
| Q6_K | 29.7 GB | ✗ No | — | — |
| Q5_K_M | 25.8 GB | ✗ No | — | Build for this |
| Q4_K_M | 22.2 GB | ✓ Yes | 64K | Build for this |
| Q3_K_M | 16 GB | ✓ Yes | 256K | — |
| Q2_K | 12.5 GB | ✓ Yes | 256K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4090: 8K 22.2 GB · 32K 22.7 GB · 128K 24.7 GB ✗. Past 128K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen 3.6 35B-A3B on 32 GB of system RAM, CPU only: runs.
Qwen 3.6 Sizes That Fit the NVIDIA GeForce RTX 4090 (at 8K context)
| Qwen 3.6 35B-A3B | Q4_K_M · 22.2 GB at 8K context · ~230 tok/s (est.) |
| Qwen 3.6 27B | Q4_K_M · 18.3 GB at 8K context · ~48 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.
FAQ
Can I run Qwen 3.6 on the NVIDIA GeForce RTX 4090?
Yes, but it's tight — Qwen 3.6 35B-A3B at Q4_K_M needs 22.2 GB at 8K context (21.1 GB weights + 1.1 GB KV cache/overhead), leaving ~1.8 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~230 tok/s (est.), with room for up to 64K context.
What's the best Qwen 3.6 size for the NVIDIA GeForce RTX 4090?
Qwen 3.6 35B-A3B at Q4_K_M quantization needs 22.2 GB at 8K context (21.1 GB weights + 1.1 GB KV cache/overhead), estimated ~230 tokens/sec, up to 64K context.
Every Qwen 3.6 size on the NVIDIA GeForce RTX 4090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 3.6 35B-A3B | 22.2 GB | Runs | ~230 tok/s |
| Qwen 3.6 27B | 18.3 GB | Runs | ~48 tok/s |
Qwen 3.6 on Other GPUs
- Qwen 3.6 on NVIDIA GeForce RTX 3090
- Qwen 3.6 on AMD Radeon RX 7900 XTX
- Qwen 3.6 on Apple M4 Pro
- Qwen 3.6 on Apple M3
- Qwen 3.6 on Apple M2
Popular Models on the NVIDIA GeForce RTX 4090
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Qwen 3.6 Model Page | NVIDIA GeForce RTX 4090 GPU Page | VRAM calculator | Check Your Hardware