DeepSeek R1 — B200 vs B300
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and B300 (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.
B200 posts 842 tok/s/GPU for $0.66 per million tokens at 78 tok/s/user on DeepSeek R1; B300 posts 662 tok/s/GPU for $1.00. B200 is 51% cheaper per token; B200 delivers 27% more tok/s/GPU.
Throughput at 143 tok/s/user on DeepSeek R1: B200 hits 251 tok/s/GPU, B300 hits 275. Per-million costs land at $2.16 and $2.37 respectively. B200 is 10% cheaper per token; B300 delivers 9% more tok/s/GPU.
B200 / B300 on DeepSeek R1 at 207 tok/s/user: 93 / 125 tok/s/GPU, $5.80 / $5.25 per million tokens. B300 is 11% cheaper per token; B300 delivers 34% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:841.9B300:661.9 | B200:251.3B300:274.5 | B200:93.0B300:124.5 |
| Cost ($/M tok) | B200:$0.657B300:$0.995 | B200:$2.157B300:$2.370 | B200:$5.797B300:$5.246 |
| tok/s/MW | B200:387960B300:305029 | B200:115816B300:126506 | B200:42876B300:57381 |
| Concurrency | B200:~42B300:~61 | B200:~41B300:~8 | B200:~2B300:~3 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.