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 58 tok/s/user on MiniMax M2.5/M2.7 — $0.25 per million tokens versus $0.39, a 60% cost-per-token gap.
Push MiniMax M2.5/M2.7 to 78 tok/s/user and H200 lands at $0.86 per million tokens against MI355X's $0.48 — MI355X pulls ahead by 78%.
H200: $1.45 per million tokens. MI355X: $0.84. Both at 98 tok/s/user on MiniMax M2.5/M2.7, with MI355X 72% 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:$0.394MI355X:$0.246 | H200:$0.863MI355X:$0.485 | H200:$1.453MI355X:$0.842 |
| Concurrency | H200:~70MI355X:~61 | H200:~23MI355X:~15 | H200:~11MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.