GLM 5/5.1 — GB200 NVL72 vs H200 Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus H200 (NVIDIA Hopper) 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.
GB200 NVL72 costs $0.10 per million tokens at 68 tok/s/user on GLM 5/5.1; we have no H200 benchmark data at this exact target.
At 98 tok/s/user on GLM 5/5.1, GB200 NVL72 comes in at $0.35 per million tokens. H200 hasn't been benchmarked at this operating point.
Only GB200 NVL72 has cost data at 127 tok/s/user on GLM 5/5.1 — $0.63 per million tokens. H200 is unmeasured at this target. (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): GB200 NVL72 $2.21/GPU/hr · H200 $1.41/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 | GB200 NVL72:$0.101H200:— | GB200 NVL72:$0.346H200:— | GB200 NVL72:$0.635H200:— |
| Concurrency | GB200 NVL72:~725H200:— | GB200 NVL72:~84H200:— | GB200 NVL72:~49H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.