MiniMax M2.5/M2.7 — GB200 NVL72 vs H200
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and H200 (NVIDIA Hopper) 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.
GB200 NVL72 posts 3623 tok/s/GPU for $0.17 per million tokens at 52 tok/s/user on MiniMax M2.5/M2.7; H200 posts 1132 tok/s/GPU for $0.35. GB200 NVL72 is 106% cheaper per token; GB200 NVL72 delivers 220% more tok/s/GPU.
Throughput at 80 tok/s/user on MiniMax M2.5/M2.7: GB200 NVL72 hits 1276 tok/s/GPU, H200 hits 469. Per-million costs land at $0.50 and $0.83 respectively. GB200 NVL72 is 68% cheaper per token; GB200 NVL72 delivers 172% more tok/s/GPU.
GB200 NVL72 / H200 on MiniMax M2.5/M2.7 at 107 tok/s/user: 667 / 310 tok/s/GPU, $0.92 / $1.27 per million tokens. GB200 NVL72 is 37% cheaper per token; GB200 NVL72 delivers 115% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:3622.7H200:1131.6 | GB200 NVL72:1276.4H200:468.6 | GB200 NVL72:667.3H200:309.7 |
| Cost ($/M tok) | GB200 NVL72:$0.169H200:$0.348 | GB200 NVL72:$0.497H200:$0.833 | GB200 NVL72:$0.925H200:$1.266 |
| tok/s/MW | GB200 NVL72:1937257H200:825990 | GB200 NVL72:682586H200:342032 | GB200 NVL72:356853H200:226068 |
| Concurrency | GB200 NVL72:~489H200:~64 | GB200 NVL72:~64H200:~19 | GB200 NVL72:~32H200:~6 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.