MiniMax M3 428B — H200 vs MI355X Performance per Dollar
Cost per million tokens of H200 (NVIDIA Hopper) versus MI355X (AMD CDNA 4) on MiniMax M3 428B. 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 M3 428B to 80 tok/s/user and H200 lands at $0.57 per million tokens against MI355X's $0.22 — MI355X pulls ahead by 156%.
H200: $1.16 per million tokens. MI355X: $0.55. Both at 152 tok/s/user on MiniMax M3 428B, with MI355X 110% cheaper.
Toward the upper edge of the 9–294 tok/s/user interactivity band — at 223 tok/s/user — H200 runs $2.43 per million tokens on MiniMax M3 428B while MI355X runs $0.95. MI355X is the cheaper choice by 156%. (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:$0.572MI355X:$0.224 | H200:$1.161MI355X:$0.551 | H200:$2.429MI355X:$0.949 |
| Concurrency | H200:~19MI355X:~49 | H200:~4MI355X:~11 | H200:~3MI355X:~4 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.