Can RTX 4090 run Qwen3.6 27B?

Q: Can RTX 4090 run Qwen3.6 27B?

Yes. Measured 47.0 tok/s generation on RTX 4090, via llama.cpp, llama-bench tg128 (quant per result). Source: https://llamabench.ai/browse/rtx4090

Yes. Measured 47.0 tok/s generation (llama.cpp, llama-bench tg128 (quant per result); source).

Every measured result for Qwen3.6 27B on RTX 4090

Build	Quant / setup	Engine	tok/s
RTX 4090: 2026 models (llamabench community)	llama-bench tg128 (quant per result)	llama.cpp	47.0	source

Memory: RTX 4090 has 24 GB. Qwen3.6 27B weights are about 16.7 GB at Q4_K_M (27.32B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.

Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.

All measured speeds for Qwen3.6 27B: best home rig for Qwen3.6 27B.

Qwen3.6 27B on other hardware: DGX Spark (GB10) · RTX 3090 · RTX 5090 · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)

Other models measured on RTX 4090: Flint 40B-A2.5B · GLM 4.7 Flash · Gemma 4 12B · Gemma 4 26B-A4B · Gemma 4 31B · LFM2.5 24B-A2B · Muse Glimmer 30B · Nemotron 3.5 Bolt 74B-A9B · Qwen3.5 9B · Qwen3.6 35B-A3B · gpt-oss 20B

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