Qwen 3.5 397B-A17B — GB200 NVL72 vs RTX PRO 6000 Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus RTX PRO 6000 (NVIDIA Blackwell) on Qwen 3.5 397B-A17B. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
GB200 NVL72 costs $0.09 per million tokens at 135 tok/s/user on Qwen 3.5 397B-A17B; we have no RTX PRO 6000 benchmark data at this exact target.
At 224 tok/s/user on Qwen 3.5 397B-A17B, GB200 NVL72 comes in at $0.24 per million tokens. RTX PRO 6000 hasn't been benchmarked at this operating point.
Only GB200 NVL72 has cost data at 312 tok/s/user on Qwen 3.5 397B-A17B — $0.47 per million tokens. RTX PRO 6000 is unmeasured 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.)
Chip pricing (owning hyperscaler): GB200 NVL72 $1.86/chip/hr · RTX PRO 6000 $0.68/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | GB200 NVL72:$0.087RTX PRO 6000:— | GB200 NVL72:$0.237RTX PRO 6000:— | GB200 NVL72:$0.466RTX 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.