MiniMax M2.5/M2.7 — GB200 NVL72 vs MI325X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI325X (AMD CDNA 3) 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 46 tok/s/user and GB200 NVL72 lands at $0.14 per million tokens against MI325X's $0.22 — GB200 NVL72 pulls ahead by 53%.
GB200 NVL72: $0.21 per million tokens. MI325X: $0.48. Both at 65 tok/s/user on MiniMax M2.5/M2.7, with GB200 NVL72 124% cheaper.
Toward the upper edge of the 27–104 tok/s/user interactivity band — at 85 tok/s/user — GB200 NVL72 runs $0.56 per million tokens on MiniMax M2.5/M2.7 while MI325X runs $1.09. GB200 NVL72 is the cheaper choice by 94%. (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): GB200 NVL72 $2.21/GPU/hr · MI325X $1.28/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:$0.142MI325X:$0.217 | GB200 NVL72:$0.214MI325X:$0.479 | GB200 NVL72:$0.563MI325X:$1.094 |
| Concurrency | GB200 NVL72:~512MI325X:~147 | GB200 NVL72:~235MI325X:~38 | GB200 NVL72:~64MI325X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.