DeepSeek R1 — B300 vs GB200 NVL72 Performance per Dollar
Cost per million tokens of B300 (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.
Push DeepSeek R1 to 93 tok/s/user and B300 lands at $0.08 per million tokens against GB200 NVL72's $0.04 — GB200 NVL72 pulls ahead by 72%.
B300: $0.35 per million tokens. GB200 NVL72: $0.12. Both at 162 tok/s/user on DeepSeek R1, with GB200 NVL72 182% cheaper.
Toward the upper edge of the 24–299 tok/s/user interactivity band — at 231 tok/s/user — B300 runs $0.59 per million tokens on DeepSeek R1 while GB200 NVL72 runs $0.51. GB200 NVL72 is the cheaper choice by 15%. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): B300 $2.26/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 | B300:$0.077GB200 NVL72:$0.045 | B300:$0.348GB200 NVL72:$0.123 | B300:$0.589GB200 NVL72:$0.514 |
| Concurrency | B300:~194GB200 NVL72:~913 | B300:~45GB200 NVL72:~178 | B300:~33GB200 NVL72:~19 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.