GLM 5/5.1 — GB200 NVL72 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of GB200 NVL72 (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 68 tok/s/user on GLM 5/5.1: GB200 NVL72 hits 6049 tok/s/GPU, GB300 NVL72 hits 10154. Per-million costs land at $0.10 and $0.07 respectively. GB300 NVL72 is 39% cheaper per token; GB300 NVL72 delivers 68% more tok/s/GPU.
GB200 NVL72 / GB300 NVL72 on GLM 5/5.1 at 98 tok/s/user: 1772 / 5453 tok/s/GPU, $0.35 / $0.13 per million tokens. GB300 NVL72 is 158% cheaper per token; GB300 NVL72 delivers 208% more tok/s/GPU.
Toward the upper edge of the 40–156 tok/s/user interactivity band, at 127 tok/s/user on GLM 5/5.1: GB200 NVL72 runs 963 tok/s/GPU at $0.63/M tokens, GB300 NVL72 runs 1242 at $0.60/M. GB300 NVL72 is 6% cheaper per token; GB300 NVL72 delivers 29% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:6049.3GB300 NVL72:10153.6 | GB200 NVL72:1772.3GB300 NVL72:5453.0 | GB200 NVL72:962.6GB300 NVL72:1242.2 |
| Cost ($/M tok) | GB200 NVL72:$0.101GB300 NVL72:$0.073 | GB200 NVL72:$0.346GB300 NVL72:$0.134 | GB200 NVL72:$0.635GB300 NVL72:$0.598 |
| tok/s/MW | GB200 NVL72:3234942GB300 NVL72:4789413 | GB200 NVL72:947766GB300 NVL72:2572156 | GB200 NVL72:514742GB300 NVL72:585949 |
| Concurrency | GB200 NVL72:~725GB300 NVL72:~726 | GB200 NVL72:~84GB300 NVL72:~395 | GB200 NVL72:~49GB300 NVL72:~41 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.