GLM 5/5.1 — B300 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B300 (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.
Near the low end of the 40–147 tok/s/user interactivity band, at 66 tok/s/user on GLM 5/5.1: B300 runs 2325 tok/s/GPU at $0.28/M tokens, GB200 NVL72 runs 6488 at $0.09/M. GB200 NVL72 is 196% cheaper per token; GB200 NVL72 delivers 179% more tok/s/GPU.
Setting 93 tok/s/user as the target on GLM 5/5.1, B300 produces 1655 tok/s/GPU ($0.39 per million tokens) and GB200 NVL72 produces 1987 ($0.31). GB200 NVL72 is 27% cheaper per token; GB200 NVL72 delivers 20% more tok/s/GPU.
At 120 tok/s/user interactivity on GLM 5/5.1, B300 delivers 1249 tok/s/GPU at $0.52 per million tokens; GB200 NVL72 delivers 1117 tok/s/GPU at $0.54. B300 is 4% cheaper per token; B300 delivers 12% more tok/s/GPU at this point. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B300:2325.4GB200 NVL72:6487.8 | B300:1655.2GB200 NVL72:1986.6 | B300:1248.7GB200 NVL72:1116.7 |
| Cost ($/M tok) | B300:$0.280GB200 NVL72:$0.094 | B300:$0.393GB200 NVL72:$0.309 | B300:$0.518GB200 NVL72:$0.540 |
| tok/s/MW | B300:1223886GB200 NVL72:3469426 | B300:871183GB200 NVL72:1062375 | B300:657200GB200 NVL72:597141 |
| Concurrency | B300:~17GB200 NVL72:~838 | B300:~9GB200 NVL72:~82 | B300:~4GB200 NVL72:~67 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.