MiniMax M2.5/M2.7 — H100 vs MI355X
Head-to-head AI inference benchmark comparison of H100 (NVIDIA Hopper) and MI355X (AMD CDNA 4) on MiniMax M2.5/M2.7. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
H100 posts 628 tok/s/GPU for $0.57 per million tokens at 59 tok/s/user on MiniMax M2.5/M2.7; MI355X posts 1613 tok/s/GPU for $0.27. MI355X is 115% cheaper per token; MI355X delivers 157% more tok/s/GPU.
Throughput at 78 tok/s/user on MiniMax M2.5/M2.7: H100 hits 376 tok/s/GPU, MI355X hits 828. Per-million costs land at $0.94 and $0.48 respectively. MI355X is 94% cheaper per token; MI355X delivers 121% more tok/s/GPU.
H100 / MI355X on MiniMax M2.5/M2.7 at 97 tok/s/user: 208 / 490 tok/s/GPU, $1.75 / $0.82 per million tokens. MI355X is 115% cheaper per token; MI355X delivers 136% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | H100:628.0MI355X:1612.8 | H100:375.6MI355X:828.3 | H100:207.9MI355X:489.7 |
| Cost ($/M tok) | H100:$0.572MI355X:$0.266 | H100:$0.939MI355X:$0.485 | H100:$1.754MI355X:$0.815 |
| tok/s/MW | H100:363025MI355X:608616 | H100:217088MI355X:312550 | H100:120199MI355X:184802 |
| Concurrency | H100:~43MI355X:~56 | H100:~12MI355X:~15 | H100:~8MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.