Can RTX Spark N1X run Qwen3.8 Flash-Next?

Q: Can RTX Spark N1X run Qwen3.8 Flash-Next?

Yes. Measured 30.97 tok/s generation on RTX Spark N1X, via llama.cpp build 12024 (CUDA, Windows ARM64), UD-IQ4_XS (4.25 bpw, 87.24 GiB). Source: https://github.com/ggml-org/llama.cpp/discussions/31494

Last updated: 2 Nov 2026

Yes. Measured 30.97 tok/s generation (llama.cpp build 12024 (CUDA, Windows ARM64), UD-IQ4_XS (4.25 bpw, 87.24 GiB); source).

Every measured result for Qwen3.8 Flash-Next on RTX Spark N1X

Build	Quant / setup	Engine	tok/s
RTX Spark N1X (128 GB): Qwen3.8 Flash-Next 177B-A3B UD-IQ4_XS at 31.0 tok/s, Windows on Arm (llama-bench)	UD-IQ4_XS (4.25 bpw, 87.24 GiB)	llama.cpp build 12024 (CUDA, Windows ARM64)	30.97	source

Memory: RTX Spark N1X has 128 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 · Apple M5 Ultra · DGX Spark (GB10) · RTX 5090 · Strix Halo (Radeon 8060S)

Other models measured on RTX Spark N1X: GLM 4.7 Flash · Gemma 4 12B · Gemma 4 26B-A4B · Muse Glimmer 30B · Nemotron 3 Nano Omni 30B · Qwen3.5 122B · Qwen3.5 9B · Qwen3.6 35B-A3B · Qwen3.8 27B · gpt-oss 20B

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