Can RTX 5090 run Qwen3.5 9B?
Yes. Measured 208 tok/s generation (llama.cpp, llama-bench tg128 (quant per result); source).
Every measured result for Qwen3.5 9B on RTX 5090
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| RTX 5090: 2026 models (llamabench community) | llama-bench tg128 (quant per result) | llama.cpp | 208 | source |
Memory: RTX 5090 has 32 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: RTX 4090
Other models measured on RTX 5090: DeepSeek V4.1 Flash · GLM-5.3 Flash · Gemma 4 12B · Gemma 4 26B-A4B · Gemma 4 31B · Ornith 1.5 122B · Qwen3.6 27B · Qwen3.6 35B-A3B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 20B
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Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.