MiniMax M3 428B — B200 vs GB200 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB200 NVL72 (NVIDIA Blackwell) on MiniMax M3 428B. 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 148 tok/s/user on MiniMax M3 428B — $0.11 per million tokens. GB200 NVL72 is unmeasured at this target.
B200 costs $0.25 per million tokens at 290 tok/s/user on MiniMax M3 428B; we have no GB200 NVL72 benchmark data at this exact target.
At 432 tok/s/user on MiniMax M3 428B, B200 comes in at $0.64 per million tokens. GB200 NVL72 hasn't been benchmarked at this operating 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.)
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:$0.113GB200 NVL72:— | B200:$0.245GB200 NVL72:— | B200:$0.644GB200 NVL72:— |
| Concurrency | B200:~8GB200 NVL72:— | B200:~4GB200 NVL72:— | B200:~1GB200 NVL72:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.