Best home rig for Qwen3.6 27B
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Real, measured generation speeds for Qwen3.6 27B on home hardware, fastest first. Different quants/engines aren't directly comparable.
| Build | Quant | Engine | tok/s | Cost | |
|---|---|---|---|---|---|
| RTX 5090: 2026 models (llamabench community) | llama-bench tg128 (quant per result) | llama.cpp | 75.7 | source | |
| RTX 4090: 2026 models (llamabench community) | llama-bench tg128 (quant per result) | llama.cpp | 47.0 | source | |
| RTX 3090: 2026 models (llamabench community) | llama-bench tg128 (quant per result) | llama.cpp | 40.2 | source |
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Rent before you buy: try this model on a cloud GPU for a few dollars first: RunPod
FAQ
How much VRAM does Qwen3.6 27B need?
The weights are about 16.7 GB at Q4_K_M (27.32B params × 4.89 bits ÷ 8, before context/KV cache). Add memory for context (KV cache) and the runtime. The smallest-memory setup with a measured result here, fully in memory, is RTX 4090 (24 GB) at 47.0 tok/s.
What is the fastest measured hardware for Qwen3.6 27B?
RTX 5090: 75.7 tok/s generation (llama.cpp, llama-bench tg128 (quant per result)), from https://llamabench.ai/browse/rtx5090.
Which GPUs have measured results for Qwen3.6 27B?
RTX 3090, RTX 4090, RTX 5090.
Can it run on… RTX 3090 · RTX 4090 · RTX 5090
Related: what GPU do you need for 2026 models · all builds