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 $0.11 per million tokens against MI325X's $0.19 — B200 pulls ahead by 73%.
B200: $0.21 per million tokens. MI325X: $0.41. Both at 65 tok/s/user on MiniMax M2.5/M2.7, with B200 101% cheaper.
Toward the upper edge of the 27–104 tok/s/user interactivity band — at 85 tok/s/user — B200 runs $0.35 per million tokens on MiniMax M2.5/M2.7 while MI325X runs $0.94. B200 is the cheaper choice by 169%. (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.)
Chip pricing (owning hyperscaler): B200 $1.73/chip/hr · MI325X $1.10/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B200:$0.108MI325X:$0.186 | B200:$0.205MI325X:$0.412 | B200:$0.350MI325X:$0.940 |
| Concurrency | B200:~388MI325X:~147 | B200:~109MI325X:~38 | B200:~33MI325X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.