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Can Apple M5 Ultra run Qwen3.6 35B-A3B?

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Yes. Measured 246 tok/s generation (Ollama 0.40.13 (llamacpp runner), Ollama qwen3.6:35b-a3b default tag (23 GB); source).

Every measured result for Qwen3.6 35B-A3B on Apple M5 Ultra

BuildQuant / setupEnginetok/s
Mac Studio M5 Ultra 96 GB (64-core GPU): gpt-oss 120B at 95 tok/s, 2,588 tok/s prefill at 15K (Ollama)Ollama qwen3.6:35b-a3b default tag (23 GB)Ollama 0.40.13 (llamacpp runner)246source

Memory: Apple M5 Ultra has 96 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 AI Pro R9700 · Radeon RX 7900 XTX · Strix Halo (Radeon 8060S)

Other models measured on Apple M5 Ultra: Mistral Medium 3.5 128B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 120B

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