DeepSeek R1 — GB200 NVL72 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and GB300 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.
Setting 85 tok/s/user as the target on DeepSeek R1, GB200 NVL72 produces 8302 tok/s/chip ($0.06 per million tokens) and GB300 NVL72 produces 10422 ($0.06). Cost per token is essentially tied; GB300 NVL72 delivers 26% more tok/s/chip.
At 152 tok/s/user interactivity on DeepSeek R1, GB200 NVL72 delivers 1787 tok/s/chip at $0.33 per million tokens; GB300 NVL72 delivers 2644 tok/s/chip at $0.24. GB300 NVL72 is 38% cheaper per token; GB300 NVL72 delivers 48% more tok/s/chip at this point.
GB200 NVL72 posts 291 tok/s/chip for $1.78 per million tokens at 219 tok/s/user on DeepSeek R1; GB300 NVL72 posts 282 tok/s/chip for $2.28. GB200 NVL72 is 28% cheaper per token; GB200 NVL72 delivers 3% more tok/s/chip. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:8301.6GB300 NVL72:10421.6 | GB200 NVL72:1787.1GB300 NVL72:2644.5 | GB200 NVL72:290.7GB300 NVL72:281.6 |
| Cost ($/M tok) | GB200 NVL72:$0.061GB300 NVL72:$0.061 | GB200 NVL72:$0.333GB300 NVL72:$0.241 | GB200 NVL72:$1.776GB300 NVL72:$2.279 |
| tok/s/MW | GB200 NVL72:4439344GB300 NVL72:4915847 | GB200 NVL72:955687GB300 NVL72:1247391 | GB200 NVL72:155441GB300 NVL72:132831 |
| Concurrency | GB200 NVL72:~2512GB300 NVL72:~1780 | GB200 NVL72:~325GB300 NVL72:~406 | GB200 NVL72:~27GB300 NVL72:~24 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.