Configs › Qwen3.5-9B on DGX Spark: 49.2 tok/s measured
Qwen3.5-9B on DGX Spark: 49.2 tok/s measured
Measured Qwen3.5-9B speeds: 49.2 tok/s on DGX Spark (UD-IQ3_XXS, llama.cpp/cuda). 18 configs, each linked to its source, snapshot 2026-10-15.
Snapshot 2026-10-15 · 394 configs on AI boxes and 423 on GPU cards · 123 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.
Quick answers
- How fast is Qwen3.5-9B on DGX Spark?
- 49.2 tok/s single-stream decode (UD-IQ3_XXS, llama.cpp/cuda), the fastest of 18 measured configs on NVIDIA DGX Spark (GB10), measured by paulplee, source last checked 2026-10-15. source
- How fast is Qwen3.5-9B on RTX 5090?
- 187 tok/s single-stream decode (UD-IQ3_XXS, llama.cpp/cuda), the fastest of 19 measured configs on NVIDIA RTX 5090 (32GB), measured by paulplee, source last checked 2026-10-15. source
Measured configs for Qwen3.5-9B on AI boxes
| Model | Hardware | Quant | Backend | Decode | Context | Trust | Source |
|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | DGX Spark | UD-IQ3_XXS | llama.cpp/cuda | 49.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | IQ4_XS | llama.cpp/cuda | 42.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q3_K_S | llama.cpp/cuda | 41.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | IQ4_NL | llama.cpp/cuda | 41.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q4_0 | llama.cpp/cuda | 41 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q3_K_M | llama.cpp/cuda | 40.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q4_1 | llama.cpp/cuda | 39.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | UD-Q3_K_XL | llama.cpp/cuda | 39.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q4_K_S | llama.cpp/cuda | 38.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q4_K_M | llama.cpp/cuda | 36.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | UD-Q4_K_XL | llama.cpp/cuda | 34.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q5_K_S | llama.cpp/cuda | 32.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q5_K_M | llama.cpp/cuda | 31.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | UD-Q5_K_XL | llama.cpp/cuda | 31 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q6_K | llama.cpp/cuda | 28.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | UD-Q6_K_XL | llama.cpp/cuda | 26.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | Q8_0 | llama.cpp/cuda | 25 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | DGX Spark | UD-Q8_K_XL | llama.cpp/cuda | 20 tok/s | 8192 | Structured table | source |
Qwen3.5-9B on GPU cards, ranked on their own
GPU cards run the model from their own VRAM: very fast on what fits, but most cannot load what a 128 GB AI box can. Ranked on their own, never against the boxes.
| Model | Hardware | Quant | Backend | Decode | Context | Trust | Source |
|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | RTX 5090 | UD-IQ3_XXS | llama.cpp/cuda | 187 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | IQ4_XS | llama.cpp/cuda | 173.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q4_0 | llama.cpp/cuda | 169 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | IQ4_NL | llama.cpp/cuda | 168.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q4_K_S | llama.cpp/cuda | 167.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q4_1 | llama.cpp/cuda | 163.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | UD-Q3_K_XL | llama.cpp/cuda | 162.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q4_K_M | llama.cpp/cuda | 160.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q3_K_M | llama.cpp/cuda | 160.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q3_K_S | llama.cpp/cuda | 158.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | UD-Q4_K_XL | llama.cpp/cuda | 157.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q5_K_S | llama.cpp/cuda | 154.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q5_K_M | llama.cpp/cuda | 151.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | UD-Q5_K_XL | llama.cpp/cuda | 149.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q6_K | llama.cpp/cuda | 139.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | UD-Q6_K_XL | llama.cpp/cuda | 129.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | Q8_0 | llama.cpp/cuda | 123.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | UD-Q8_K_XL | llama.cpp/cuda | 105.3 tok/s | 8192 | Structured table | source |
| Qwen3.5-9B | RTX 5090 | BF16 | llama.cpp/cuda | 80.6 tok/s | 8192 | Structured table | source |
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