MiniMax M2.5/M2.7 — H200 vs MI325X Performance per Dollar
Cost per million tokens of H200 (NVIDIA Hopper) 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.
Near the low end of the 27–104 tok/s/user interactivity band — at 46 tok/s/user — H200 runs $0.24 per million tokens on MiniMax M2.5/M2.7 while MI325X runs $0.19. MI325X is the cheaper choice by 31%.
On MiniMax M2.5/M2.7 at 65 tok/s/user, the per-million math comes out to $0.43 for H200 and $0.41 for MI325X; MI325X delivers 5% more output per dollar.
At 85 tok/s/user on MiniMax M2.5/M2.7, H200 costs $0.65 per million tokens; MI325X costs $0.94. H200 is 45% more cost-efficient at this operating point. (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): H200 $1.22/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 | H200:$0.243MI325X:$0.186 | H200:$0.434MI325X:$0.412 | H200:$0.647MI325X:$0.940 |
| Concurrency | H200:~62MI325X:~147 | H200:~25MI325X:~38 | H200:~12MI325X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.