Qwen 3.5 397B-A17B — GB200 NVL72 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus GB300 NVL72 (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.
At 64 tok/s/user on Qwen 3.5 397B-A17B, GB200 NVL72 comes in at $0.51 per million tokens. GB300 NVL72 hasn't been benchmarked at this operating point.
Only GB200 NVL72 has cost data at 101 tok/s/user on Qwen 3.5 397B-A17B — $1.30 per million tokens. GB300 NVL72 is unmeasured at this target.
GB200 NVL72 costs $2.98 per million tokens at 137 tok/s/user on Qwen 3.5 397B-A17B; we have no GB300 NVL72 benchmark data at this exact target. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
GPU pricing (owning hyperscaler): GB200 NVL72 $2.21/GPU/hr · GB300 NVL72 $2.65/GPU/hr. Source: SemiAnalysis Market August 2025 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:$0.506GB300 NVL72:— | GB200 NVL72:$1.297GB300 NVL72:— | GB200 NVL72:$2.983GB300 NVL72:— |
| Concurrency | GB200 NVL72:~113GB300 NVL72:— | GB200 NVL72:~20GB300 NVL72:— | GB200 NVL72:~7GB300 NVL72:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.