GLM 5/5.1 — B200 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB200 NVL72 (NVIDIA Blackwell) on GLM 5/5.1. 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 2325 tok/s/GPU for $0.23 per million tokens at 65 tok/s/user on GLM 5/5.1; GB200 NVL72 posts 6658 tok/s/GPU for $0.09. GB200 NVL72 is 152% cheaper per token; GB200 NVL72 delivers 186% more tok/s/GPU.
Throughput at 91 tok/s/user on GLM 5/5.1: B200 hits 1692 tok/s/GPU, GB200 NVL72 hits 2082. Per-million costs land at $0.32 and $0.29 respectively. GB200 NVL72 is 9% cheaper per token; GB200 NVL72 delivers 23% more tok/s/GPU.
B200 / GB200 NVL72 on GLM 5/5.1 at 116 tok/s/user: 1369 / 1199 tok/s/GPU, $0.40 / $0.51 per million tokens. B200 is 27% cheaper per token; B200 delivers 14% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:2325.2GB200 NVL72:6658.4 | B200:1691.9GB200 NVL72:2081.8 | B200:1368.8GB200 NVL72:1199.3 |
| Cost ($/M tok) | B200:$0.233GB200 NVL72:$0.093 | B200:$0.321GB200 NVL72:$0.295 | B200:$0.399GB200 NVL72:$0.506 |
| tok/s/MW | B200:1359780GB200 NVL72:3560624 | B200:989411GB200 NVL72:1113270 | B200:800494GB200 NVL72:641314 |
| Concurrency | B200:~17GB200 NVL72:~893 | B200:~9GB200 NVL72:~82 | B200:~5GB200 NVL72:~79 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.