MiniMax M3 428B — GB200 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) 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 62 tok/s/user and GB200 NVL72 lands at $0.14 per million tokens against MI355X's $0.08 — MI355X pulls ahead by 81%.
GB200 NVL72: $0.33 per million tokens. MI355X: $0.10. Both at 94 tok/s/user on MiniMax M3 428B, with MI355X 216% cheaper.
Toward the upper edge of the 31–156 tok/s/user interactivity band — at 125 tok/s/user — GB200 NVL72 runs $0.78 per million tokens on MiniMax M3 428B while MI355X runs $0.14. MI355X is the cheaper choice by 476%. (Numbers reflect the default 8k/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 · MI355X $1.48/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:$0.145MI355X:$0.080 | GB200 NVL72:$0.331MI355X:$0.105 | GB200 NVL72:$0.780MI355X:$0.135 |
| Concurrency | GB200 NVL72:~302MI355X:~44 | GB200 NVL72:~49MI355X:~22 | GB200 NVL72:~15MI355X:~13 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.