MiniMax M2.5/M2.7 — GB200 NVL72 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and GB300 NVL72 (NVIDIA Blackwell) 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.
At 68 tok/s/user interactivity on MiniMax M2.5/M2.7, GB200 NVL72 delivers 8433 tok/s/chip at $0.06 per million tokens; GB300 NVL72 delivers 8539 tok/s/chip at $0.07. GB200 NVL72 is 17% cheaper per token; GB300 NVL72 delivers 1% more tok/s/chip at this point.
GB200 NVL72 posts 3247 tok/s/chip for $0.16 per million tokens at 105 tok/s/user on MiniMax M2.5/M2.7; GB300 NVL72 posts 3391 tok/s/chip for $0.19. GB200 NVL72 is 18% cheaper per token; GB300 NVL72 delivers 4% more tok/s/chip.
Throughput at 143 tok/s/user on MiniMax M2.5/M2.7: GB200 NVL72 hits 1066 tok/s/chip, GB300 NVL72 hits 1047. Per-million costs land at $0.49 and $0.61 respectively. GB200 NVL72 is 25% cheaper per token; GB200 NVL72 delivers 2% more tok/s/chip. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:8432.8GB300 NVL72:8538.7 | GB200 NVL72:3246.9GB300 NVL72:3391.2 | GB200 NVL72:1066.4GB300 NVL72:1047.4 |
| Cost ($/M tok) | GB200 NVL72:$0.061GB300 NVL72:$0.072 | GB200 NVL72:$0.160GB300 NVL72:$0.189 | GB200 NVL72:$0.489GB300 NVL72:$0.611 |
| tok/s/MW | GB200 NVL72:4509515GB300 NVL72:4027712 | GB200 NVL72:1736305GB300 NVL72:1599620 | GB200 NVL72:570241GB300 NVL72:494071 |
| Concurrency | GB200 NVL72:~928GB300 NVL72:~1024 | GB200 NVL72:~236GB300 NVL72:~211 | GB200 NVL72:~45GB300 NVL72:~34 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.