Can RTX Spark N1X run Qwen3.5 9B?
Last updated:
Yes. Measured 44.6 tok/s generation (llama.cpp b11669 (CUDA, Windows on Arm), Q4_K_M (5.7 GB); source).
Every measured result for Qwen3.5 9B on RTX Spark N1X
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| Lenovo Yoga Pro 9n (RTX Spark, 128 GB): gpt-oss 20B at 80.4 tok/s, Qwen3.6 35B-A3B at 72.1 (llama.cpp CUDA, Windows on Arm) | Q4_K_M (5.7 GB) | llama.cpp b11669 (CUDA, Windows on Arm) | 44.6 | source |
Memory: RTX Spark N1X has 128 GB. Qwen3.5 9B weights are about 5.5 GB at Q4_K_M (8.95B 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 Qwen3.5 9B: best home rig for Qwen3.5 9B.
Qwen3.5 9B on other hardware: Apple M4 · RTX 4090 · RTX 5070 Ti · RTX 5090
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 · Qwen3.6 35B-A3B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 20B
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