MiniMax M3 428B — GB200 NVL72 vs MI300X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI300X (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.
At 50 tok/s/user on MiniMax M3 428B, GB200 NVL72 costs $0.34 per million tokens; MI300X costs $0.62. GB200 NVL72 is 83% more cost-efficient at this operating point.
GB200 NVL72 edges MI300X at 83 tok/s/user on MiniMax M3 428B — $0.89 per million tokens versus $1.55, a 73% cost-per-token gap.
Push MiniMax M3 428B to 116 tok/s/user and GB200 NVL72 lands at $2.66 per million tokens against MI300X's $2.18 — MI300X pulls ahead by 22%. (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 · MI300X $1.12/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:$0.340MI300X:$0.622 | GB200 NVL72:$0.895MI300X:$1.549 | GB200 NVL72:$2.665MI300X:$2.178 |
| Concurrency | GB200 NVL72:~217MI300X:~42 | GB200 NVL72:~83MI300X:~10 | GB200 NVL72:~20MI300X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.