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

ModelHardwareQuantBackendDecodeContextTrustSource
Qwen3.5-9BDGX SparkUD-IQ3_XXSllama.cpp/cuda49.2 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkIQ4_XSllama.cpp/cuda42.4 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ3_K_Sllama.cpp/cuda41.9 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkIQ4_NLllama.cpp/cuda41.1 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ4_0llama.cpp/cuda41 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ3_K_Mllama.cpp/cuda40.2 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ4_1llama.cpp/cuda39.9 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkUD-Q3_K_XLllama.cpp/cuda39.2 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ4_K_Sllama.cpp/cuda38.1 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ4_K_Mllama.cpp/cuda36.4 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkUD-Q4_K_XLllama.cpp/cuda34.9 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ5_K_Sllama.cpp/cuda32.7 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ5_K_Mllama.cpp/cuda31.5 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkUD-Q5_K_XLllama.cpp/cuda31 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ6_Kllama.cpp/cuda28.4 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkUD-Q6_K_XLllama.cpp/cuda26.2 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkQ8_0llama.cpp/cuda25 tok/s8192Structured tablesource
Qwen3.5-9BDGX SparkUD-Q8_K_XLllama.cpp/cuda20 tok/s8192Structured tablesource

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.

ModelHardwareQuantBackendDecodeContextTrustSource
Qwen3.5-9BRTX 5090UD-IQ3_XXSllama.cpp/cuda187 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090IQ4_XSllama.cpp/cuda173.9 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q4_0llama.cpp/cuda169 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090IQ4_NLllama.cpp/cuda168.8 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q4_K_Sllama.cpp/cuda167.3 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q4_1llama.cpp/cuda163.7 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090UD-Q3_K_XLllama.cpp/cuda162.8 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q4_K_Mllama.cpp/cuda160.9 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q3_K_Mllama.cpp/cuda160.5 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q3_K_Sllama.cpp/cuda158.4 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090UD-Q4_K_XLllama.cpp/cuda157.3 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q5_K_Sllama.cpp/cuda154.7 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q5_K_Mllama.cpp/cuda151.1 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090UD-Q5_K_XLllama.cpp/cuda149.2 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q6_Kllama.cpp/cuda139.7 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090UD-Q6_K_XLllama.cpp/cuda129.7 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090Q8_0llama.cpp/cuda123.9 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090UD-Q8_K_XLllama.cpp/cuda105.3 tok/s8192Structured tablesource
Qwen3.5-9BRTX 5090BF16llama.cpp/cuda80.6 tok/s8192Structured tablesource

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