GLM 5/5.1 — B200 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB300 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.
Throughput at 43 tok/s/user on GLM 5/5.1: B200 hits 460 tok/s/GPU, GB300 NVL72 hits 2618. Per-million costs land at $1.18 and $0.41 respectively. GB300 NVL72 is 188% cheaper per token; GB300 NVL72 delivers 470% more tok/s/GPU.
B200 / GB300 NVL72 on GLM 5/5.1 at 67 tok/s/user: 356 / 479 tok/s/GPU, $1.53 / $1.49 per million tokens. GB300 NVL72 is 3% cheaper per token; GB300 NVL72 delivers 35% more tok/s/GPU.
Toward the upper edge of the 19–115 tok/s/user interactivity band, at 91 tok/s/user on GLM 5/5.1: B200 runs 237 tok/s/GPU at $2.30/M tokens, GB300 NVL72 runs 171 at $4.14/M. B200 is 80% cheaper per token; B200 delivers 39% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:459.6GB300 NVL72:2618.4 | B200:356.0GB300 NVL72:479.0 | B200:237.4GB300 NVL72:171.4 |
| Cost ($/M tok) | B200:$1.180GB300 NVL72:$0.410 | B200:$1.532GB300 NVL72:$1.489 | B200:$2.299GB300 NVL72:$4.142 |
| tok/s/MW | B200:211792GB300 NVL72:1246843 | B200:164046GB300 NVL72:228110 | B200:109407GB300 NVL72:81616 |
| Concurrency | B200:~424GB300 NVL72:~3177 | B200:~21GB300 NVL72:~307 | B200:~11GB300 NVL72:~79 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.