MiniMax M2.5/M2.7 — H200 vs MI355X Performance per Dollar
Cost per million tokens of H200 (NVIDIA Hopper) versus MI355X (AMD CDNA 4) 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.
MI355X edges H200 at 48 tok/s/user on MiniMax M2.5/M2.7 — $0.12 per million tokens versus $0.31, a 165% cost-per-token gap.
Push MiniMax M2.5/M2.7 to 72 tok/s/user and H200 lands at $0.73 per million tokens against MI355X's $0.39 — MI355X pulls ahead by 86%.
H200: $1.00 per million tokens. MI355X: $0.75. Both at 96 tok/s/user on MiniMax M2.5/M2.7, with MI355X 34% cheaper. (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 · MI355X $1.48/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:$0.313MI355X:$0.118 | H200:$0.733MI355X:$0.393 | H200:$1.000MI355X:$0.747 |
| Concurrency | H200:~64MI355X:~256 | H200:~30MI355X:~31 | H200:~9MI355X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.