Qwen 3.5 397B-A17B — GB200 NVL72 vs RTX PRO 6000
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and RTX PRO 6000 (NVIDIA Blackwell) on Qwen 3.5 397B-A17B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
GB200 NVL72 hits 6014 tok/s/GPU for $0.11 per million tokens at 118 tok/s/user on Qwen 3.5 397B-A17B. No RTX PRO 6000 data at this operating point.
GB200 NVL72: 1871 tok/s/GPU, $0.33 per million tokens at 201 tok/s/user on Qwen 3.5 397B-A17B. RTX PRO 6000 is unmeasured here.
At 283 tok/s/user on Qwen 3.5 397B-A17B, GB200 NVL72 delivers 818 tok/s/GPU at $0.70 per million tokens; RTX PRO 6000 hasn't been benchmarked at this target. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:6014.4RTX PRO 6000:— | GB200 NVL72:1871.3RTX PRO 6000:— | GB200 NVL72:817.8RTX PRO 6000:— |
| Cost ($/M tok) | GB200 NVL72:$0.106RTX PRO 6000:— | GB200 NVL72:$0.327RTX PRO 6000:— | GB200 NVL72:$0.702RTX PRO 6000:— |
| tok/s/MW | GB200 NVL72:3216272RTX PRO 6000:— | GB200 NVL72:1000702RTX PRO 6000:— | GB200 NVL72:437325RTX PRO 6000:— |
| Concurrency | GB200 NVL72:~233RTX PRO 6000:— | GB200 NVL72:~18RTX PRO 6000:— | GB200 NVL72:~4RTX PRO 6000:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.