MiniMax M2.5/M2.7 — B200 vs GB200 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB200 NVL72 (NVIDIA Blackwell) on MiniMax M2.5/M2.7. 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 MiniMax M2.5/M2.7 to 68 tok/s/user and B200 lands at $0.07 per million tokens against GB200 NVL72's $0.07 — B200 pulls ahead by 10%.
B200: $0.18 per million tokens. GB200 NVL72: $0.19. Both at 105 tok/s/user on MiniMax M2.5/M2.7, with B200 5% cheaper.
Toward the upper edge of the 31–180 tok/s/user interactivity band — at 143 tok/s/user — B200 runs $0.47 per million tokens on MiniMax M2.5/M2.7 while GB200 NVL72 runs $0.58. B200 is the cheaper choice by 23%. (Numbers reflect the default 1k/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:$0.066GB200 NVL72:$0.073 | B200:$0.182GB200 NVL72:$0.190 | B200:$0.470GB200 NVL72:$0.581 |
| Concurrency | B200:~831GB200 NVL72:~928 | B200:~105GB200 NVL72:~236 | B200:~10GB200 NVL72:~45 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.