DeepSeek R1 — B200 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB200 NVL72 (NVIDIA Blackwell) on DeepSeek R1. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
Throughput at 76 tok/s/user on DeepSeek R1: B200 hits 2423 tok/s/chip, GB200 NVL72 hits 5749. Per-million costs land at $0.21 and $0.09 respectively. GB200 NVL72 is 138% cheaper per token; GB200 NVL72 delivers 137% more tok/s/chip.
B200 / GB200 NVL72 on DeepSeek R1 at 120 tok/s/user: 1111 / 3988 tok/s/chip, $0.43 / $0.13 per million tokens. GB200 NVL72 is 234% cheaper per token; GB200 NVL72 delivers 259% more tok/s/chip.
Toward the upper edge of the 32–208 tok/s/user interactivity band, at 164 tok/s/user on DeepSeek R1: B200 runs 751 tok/s/chip at $0.64/M tokens, GB200 NVL72 runs 818 at $0.68/M. B200 is 6% cheaper per token; GB200 NVL72 delivers 9% more tok/s/chip. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:2423.5GB200 NVL72:5749.2 | B200:1110.7GB200 NVL72:3987.5 | B200:751.2GB200 NVL72:817.8 |
| Cost ($/M tok) | B200:$0.214GB200 NVL72:$0.090 | B200:$0.432GB200 NVL72:$0.130 | B200:$0.640GB200 NVL72:$0.681 |
| tok/s/MW | B200:1417227GB200 NVL72:3074446 | B200:649556GB200 NVL72:2132361 | B200:439300GB200 NVL72:437312 |
| 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.