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 6147 tok/s/chip for $0.09 per million tokens at 135 tok/s/user on Qwen 3.5 397B-A17B. No RTX PRO 6000 data at this operating point.
GB200 NVL72: 2182 tok/s/chip, $0.24 per million tokens at 224 tok/s/user on Qwen 3.5 397B-A17B. RTX PRO 6000 is unmeasured here.
At 312 tok/s/user on Qwen 3.5 397B-A17B, GB200 NVL72 delivers 1089 tok/s/chip at $0.47 per million tokens; RTX PRO 6000 hasn't been benchmarked at this target. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:6147.0RTX PRO 6000:— | GB200 NVL72:2181.8RTX PRO 6000:— | GB200 NVL72:1089.4RTX PRO 6000:— |
| Cost ($/M tok) | GB200 NVL72:$0.087RTX PRO 6000:— | GB200 NVL72:$0.237RTX PRO 6000:— | GB200 NVL72:$0.466RTX PRO 6000:— |
| tok/s/MW | GB200 NVL72:3287163RTX PRO 6000:— | GB200 NVL72:1166737RTX PRO 6000:— | GB200 NVL72:582554RTX PRO 6000:— |
| Concurrency | GB200 NVL72:~238RTX PRO 6000:— | GB200 NVL72:~17RTX PRO 6000:— | GB200 NVL72:~4RTX PRO 6000:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.