DeepSeek R1 — B200 vs H200 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus H200 (NVIDIA Hopper) 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 edges H200 at 59 tok/s/user on DeepSeek R1 — $0.18 per million tokens versus $0.80, a 354% cost-per-token gap.
Push DeepSeek R1 to 98 tok/s/user and B200 lands at $0.92 per million tokens against H200's $2.30 — B200 pulls ahead by 150%.
B200: $1.89 per million tokens. H200: $8.60. Both at 136 tok/s/user on DeepSeek R1, with B200 356% cheaper. (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.)
Chip pricing (owning hyperscaler): B200 $1.73/chip/hr · H200 $1.22/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:$0.177H200:$0.805 | B200:$0.920H200:$2.304 | B200:$1.887H200:$8.600 |
| Concurrency | B200:~1030H200:~133 | B200:~185H200:~6 | B200:~13H200:~14 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.