MiniMax M3 428B — GB300 NVL72 vs MI325X Performance per Dollar
Cost per million tokens of GB300 NVL72 (NVIDIA Blackwell) versus MI325X (AMD CDNA 3) 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 45 tok/s/user and GB300 NVL72 lands at $0.26 per million tokens against MI325X's $0.53 — GB300 NVL72 pulls ahead by 104%.
GB300 NVL72: $0.97 per million tokens. MI325X: $1.39. Both at 83 tok/s/user on MiniMax M3 428B, with GB300 NVL72 44% cheaper.
Toward the upper edge of the 8–158 tok/s/user interactivity band — at 121 tok/s/user — GB300 NVL72 runs $2.73 per million tokens on MiniMax M3 428B while MI325X runs $2.42. MI325X is the cheaper choice by 12%. (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): GB300 NVL72 $2.65/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 | GB300 NVL72:$0.260MI325X:$0.528 | GB300 NVL72:$0.968MI325X:$1.393 | GB300 NVL72:$2.726MI325X:$2.423 |
| Concurrency | GB300 NVL72:~756MI325X:~67 | GB300 NVL72:~92MI325X:~13 | GB300 NVL72:~23MI325X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.