MiniMax M3 428B — GB200 NVL72 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and GB300 NVL72 (NVIDIA Blackwell) on MiniMax M3 428B. 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 1598 tok/s/chip for $0.32 per million tokens at 52 tok/s/user on MiniMax M3 428B; GB300 NVL72 posts 2095 tok/s/chip for $0.29. GB300 NVL72 is 10% cheaper per token; GB300 NVL72 delivers 31% more tok/s/chip.
Throughput at 86 tok/s/user on MiniMax M3 428B: GB200 NVL72 hits 659 tok/s/chip, GB300 NVL72 hits 663. Per-million costs land at $0.81 and $0.96 respectively. GB200 NVL72 is 18% cheaper per token; throughput per chip is essentially tied.
GB200 NVL72 / GB300 NVL72 on MiniMax M3 428B at 121 tok/s/user: 214 / 252 tok/s/chip, $2.37 / $2.43 per million tokens. GB200 NVL72 is 2% cheaper per token; GB300 NVL72 delivers 18% more tok/s/chip. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:1598.2GB300 NVL72:2094.9 | GB200 NVL72:659.1GB300 NVL72:663.4 | GB200 NVL72:213.8GB300 NVL72:252.1 |
| Cost ($/M tok) | GB200 NVL72:$0.322GB300 NVL72:$0.293 | GB200 NVL72:$0.815GB300 NVL72:$0.960 | GB200 NVL72:$2.372GB300 NVL72:$2.432 |
| tok/s/MW | GB200 NVL72:854626GB300 NVL72:988156 | GB200 NVL72:352437GB300 NVL72:312902 | GB200 NVL72:114356GB300 NVL72:118897 |
| Concurrency | GB200 NVL72:~180GB300 NVL72:~452 | GB200 NVL72:~76GB300 NVL72:~72 | GB200 NVL72:~19GB300 NVL72:~21 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.