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 $0.28 per million tokens on MiniMax M2.5/M2.7 while MI325X runs $0.22. MI325X is the cheaper choice by 29%.
On MiniMax M2.5/M2.7 at 65 tok/s/user, the per-million math comes out to $0.56 for H200 and $0.48 for MI325X; MI325X delivers 16% more output per dollar.
At 85 tok/s/user on MiniMax M2.5/M2.7, H200 costs $0.87 per million tokens; MI325X costs $1.09. H200 is 26% 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.)
GPU pricing (owning hyperscaler): H200 $1.41/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 | H200:$0.281MI325X:$0.217 | H200:$0.556MI325X:$0.479 | H200:$0.868MI325X:$1.094 |
| Concurrency | H200:~64MI325X:~147 | H200:~51MI325X:~38 | H200:~15MI325X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.