DeepSeek R1 — B200 vs GB200 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB200 NVL72 (NVIDIA Blackwell) on DeepSeek R1. 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.
B200: $0.21 per million tokens. GB200 NVL72: $0.09. Both at 76 tok/s/user on DeepSeek R1, with GB200 NVL72 138% cheaper.
Around the middle of the 32–208 tok/s/user interactivity band — at 120 tok/s/user — B200 runs $0.43 per million tokens on DeepSeek R1 while GB200 NVL72 runs $0.13. GB200 NVL72 is the cheaper choice by 234%.
On DeepSeek R1 at 164 tok/s/user, the per-million math comes out to $0.64 for B200 and $0.68 for GB200 NVL72; B200 delivers 6% more output per dollar. (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): B200 $1.73/chip/hr · GB200 NVL72 $1.86/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 | B200:$0.214GB200 NVL72:$0.090 | B200:$0.432GB200 NVL72:$0.130 | B200:$0.640GB200 NVL72:$0.681 |
| Concurrency | B200:~142GB200 NVL72:~618 | B200:~119GB200 NVL72:~333 | B200:~21GB200 NVL72:~27 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.