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Can Radeon AI Pro R9700 run Qwen3.6 35B-A3B?

Yes. Measured 117.69 tok/s generation (llama.cpp Vulkan, Q4_K_M; source).

Every measured result for Qwen3.6 35B-A3B on Radeon AI Pro R9700

BuildQuant / setupEnginetok/s
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)Q4_K_Mllama.cpp Vulkan117.69source
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)Q5_K_M (24.68 GB VRAM)llama.cpp Vulkan109.73source
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)Unsloth UD-Q5_K_XL, short context, f16 KVllama.cpp Vulkan102.39source
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)UD-Q5_K_XL, 32K contextllama.cpp Vulkan90.52source
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)UD-Q5_K_XL, 128K contextllama.cpp Vulkan66.43source
Radeon AI Pro R9700 (one card): Qwen3.6 35B-A3B from 4K to 256K context (AMDai lab rig)UD-Q5_K_XL, 256K contextllama.cpp Vulkan44.4source

Memory: Radeon AI Pro R9700 has 32 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 3090 · RTX 4090 · RTX 5090 · RTX Spark N1X · Radeon RX 7900 XTX · Strix Halo (Radeon 8060S)

Other models measured on Radeon AI Pro R9700: Qwen3.6 27B · Qwen3.8 27B · gpt-oss 20B

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