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Can Apple M5 Ultra run Qwen3.8 Flash-Next?

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Yes. Measured 187.3 tok/s generation (TensorFold 0.3.4.1 (MLX), MLX 4-bit + MTP (Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP); source).

Every measured result for Qwen3.8 Flash-Next on Apple M5 Ultra

BuildQuant / setupEnginetok/s
Mac Studio M5 Ultra 256GB: Qwen3.8 Flash-Next 4-bit MTP, 187 tok/s fresh, 94.7 at 32K (TensorFold)MLX 4-bit + MTP (Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP)TensorFold 0.3.4.1 (MLX)187.3source
Mac Studio M5 Ultra 256GB: Qwen3.8 Flash-Next 4-bit MTP, 187 tok/s fresh, 94.7 at 32K (TensorFold)MLX 4-bit + MTP (Vontra/Qwen3.8-Flash-Next-MLX-4bit-MTP)TensorFold 0.3.4.1 (MLX)94.7source

Memory: Apple M5 Ultra has 256 GB. Qwen3.8 Flash-Next weights are about 110.1 GB at Q4_K_M (180B 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 Qwen3.8 Flash-Next: best home rig for Qwen3.8 Flash-Next.

Qwen3.8 Flash-Next on other hardware: 2x DGX Spark (GB10) · 2x Intel Arc Pro B70 · 2x RTX 5070 Ti · 2x RTX 5080 · 2x RTX PRO 4000 Blackwell · 2x Tesla V100 32GB · 4x RTX 3090 · 6x RTX 3090 · DGX Spark (GB10) · RTX 5090 · Strix Halo (Radeon 8060S)

Other models measured on Apple M5 Ultra: Mistral Medium 3.5 128B · Qwen3.8 27B

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