Can RTX 5090 run Qwen3.6 27B?

Q: Can RTX 5090 run Qwen3.6 27B?

Yes. Measured 75.7 tok/s generation on RTX 5090, via llama.cpp, llama-bench tg128 (quant per result). Source: https://llamabench.ai/browse/rtx5090

Yes. Measured 75.7 tok/s generation (llama.cpp, llama-bench tg128 (quant per result); source).

Every measured result for Qwen3.6 27B on RTX 5090

Build	Quant / setup	Engine	tok/s
RTX 5090: 2026 models (llamabench community)	llama-bench tg128 (quant per result)	llama.cpp	75.7	source
RTX 5090 (llm-speed signed runs, Oct 2026): gpt-oss 20B 324 tok/s, Qwen3.8 27B 75 tok/s	Q4_K_M	llama.cpp 0.7.0-dev	75.1	source

Memory: RTX 5090 has 32 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 4090 · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)

Other models measured on RTX 5090: DeepSeek V4.1 Flash · GLM-5.3 Flash · Gemma 4 12B · Gemma 4 26B-A4B · Gemma 4 31B · Ornith 1.5 122B · Qwen3.5 9B · Qwen3.6 35B-A3B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 20B

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