MiniMax M2.5/M2.7 — B200 vs MI325X Performance per Dollar
Cost per million tokens of B200 (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 B200 lands at $0.12 per million tokens against MI325X's $0.22 — B200 pulls ahead by 78%.
B200: $0.23 per million tokens. MI325X: $0.48. Both at 65 tok/s/user on MiniMax M2.5/M2.7, with B200 107% cheaper.
Toward the upper edge of the 27–104 tok/s/user interactivity band — at 85 tok/s/user — B200 runs $0.39 per million tokens on MiniMax M2.5/M2.7 while MI325X runs $1.09. B200 is the cheaper choice by 177%. (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 · 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 | B200:$0.122MI325X:$0.217 | B200:$0.231MI325X:$0.479 | B200:$0.395MI325X:$1.094 |
| Concurrency | B200:~388MI325X:~147 | B200:~109MI325X:~38 | B200:~33MI325X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.