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 1177 tok/s/GPU for $0.34. GB200 NVL72 is 99% cheaper per token; GB200 NVL72 delivers 208% 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 572. Per-million costs land at $0.50 and $0.68 respectively. GB200 NVL72 is 37% cheaper per token; GB200 NVL72 delivers 123% more tok/s/GPU.
GB200 NVL72 / H200 on MiniMax M2.5/M2.7 at 107 tok/s/user: 667 / 307 tok/s/GPU, $0.92 / $1.27 per million tokens. GB200 NVL72 is 37% cheaper per token; GB200 NVL72 delivers 117% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:3622.7H200:1176.5 | GB200 NVL72:1276.4H200:572.2 | GB200 NVL72:667.3H200:307.0 |
| Cost ($/M tok) | GB200 NVL72:$0.169H200:$0.337 | GB200 NVL72:$0.497H200:$0.683 | GB200 NVL72:$0.925H200:$1.271 |
| tok/s/MW | GB200 NVL72:1725082H200:680077 | GB200 NVL72:607826H200:330764 | GB200 NVL72:317769H200:177472 |
| Concurrency | GB200 NVL72:~489H200:~106 | GB200 NVL72:~64H200:~14 | GB200 NVL72:~32H200:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.