GLM 5/5.1 — B200 vs GB200 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB200 NVL72 (NVIDIA Blackwell) on GLM 5/5.1. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
Push GLM 5/5.1 to 65 tok/s/user and B200 lands at $0.23 per million tokens against GB200 NVL72's $0.09 — GB200 NVL72 pulls ahead by 152%.
B200: $0.32 per million tokens. GB200 NVL72: $0.29. Both at 91 tok/s/user on GLM 5/5.1, with GB200 NVL72 9% cheaper.
Toward the upper edge of the 40–142 tok/s/user interactivity band — at 116 tok/s/user — B200 runs $0.40 per million tokens on GLM 5/5.1 while GB200 NVL72 runs $0.51. B200 is the cheaper choice by 27%. (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.)
GPU pricing (owning hyperscaler): B200 $1.95/GPU/hr · GB200 NVL72 $2.21/GPU/hr. Source: SemiAnalysis Market August 2025 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B200:$0.233GB200 NVL72:$0.093 | B200:$0.321GB200 NVL72:$0.295 | B200:$0.399GB200 NVL72:$0.506 |
| 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.