GLM 5/5.1 — B200 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB300 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.
Only B200 has cost data at 36 tok/s/user on GLM 5/5.1 — $0.90 per million tokens. GB300 NVL72 is unmeasured at this target.
B200 costs $1.54 per million tokens at 60 tok/s/user on GLM 5/5.1; we have no GB300 NVL72 benchmark data at this exact target.
At 84 tok/s/user on GLM 5/5.1, B200 comes in at $2.77 per million tokens. GB300 NVL72 hasn't been benchmarked at this operating point. (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.)
GPU pricing (owning hyperscaler): B200 $1.95/GPU/hr · GB300 NVL72 $2.65/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:$0.899GB300 NVL72:— | B200:$1.542GB300 NVL72:— | B200:$2.773GB300 NVL72:— |
| Concurrency | B200:~80GB300 NVL72:— | B200:~23GB300 NVL72:— | B200:~10GB300 NVL72:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.