MiniMax M3 428B — B200 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB300 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.
Push MiniMax M3 428B to 48 tok/s/user and B200 lands at $0.17 per million tokens against GB300 NVL72's $0.29 — B200 pulls ahead by 75%.
B200: $0.33 per million tokens. GB300 NVL72: $1.00. Both at 84 tok/s/user on MiniMax M3 428B, with B200 198% cheaper.
Toward the upper edge of the 11–158 tok/s/user interactivity band — at 121 tok/s/user — B200 runs $0.42 per million tokens on MiniMax M3 428B while GB300 NVL72 runs $2.73. B200 is the cheaper choice by 553%. (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:$0.166GB300 NVL72:$0.291 | B200:$0.334GB300 NVL72:$0.996 | B200:$0.417GB300 NVL72:$2.726 |
| Concurrency | B200:~168GB300 NVL72:~602 | B200:~59GB300 NVL72:~89 | B200:~25GB300 NVL72:~23 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.