Can RTX 3090 run Qwen3.6 35B-A3B?

Q: Can RTX 3090 run Qwen3.6 35B-A3B?

Yes. Measured 146-153 tok/s generation on RTX 3090, via llama.cpp, llama-bench tg128 (quant per result). Source: https://llamabench.ai/browse/rtx3090

Yes. Measured 146-153 tok/s generation (llama.cpp, llama-bench tg128 (quant per result); source).

Every measured result for Qwen3.6 35B-A3B on RTX 3090

Build	Quant / setup	Engine	tok/s
RTX 3090: 2026 models (llamabench community)	llama-bench tg128 (quant per result)	llama.cpp	146-153	source
Single RTX 3090: Qwen3.6 35B-A3B (Giles Thomas)	Q4 GGUF, all layers on GPU, ~90K ctx	llama.cpp CUDA	139.6	source
4x RTX 3090 lab: Qwen3.6 on vLLM vs llama.cpp	IQ4_XS (1 GPU)	llama.cpp	115-133	source

Memory: RTX 3090 has 24 GB. Qwen3.6 35B-A3B weights are about 21.7 GB at Q4_K_M (35.51B 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 35B-A3B: best home rig for Qwen3.6 35B-A3B.

Qwen3.6 35B-A3B on other hardware: 2x RTX 3090 · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 4090 · RTX 5090 · RTX Spark N1X · Radeon AI Pro R9700 · Radeon RX 7900 XTX · Strix Halo (Radeon 8060S)

Other models measured on RTX 3090: DeepSeek R1 671B · Flint 40B-A2.5B · GLM 4.7 Flash · Gemma 4 31B · Nemotron 3.5 Bolt 74B-A9B · Qwen3.6 27B · Qwen3.8 27B · gpt-oss 20B

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