MiniMax M3 428B — B200 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of B200 (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.
B200 / GB300 NVL72 on MiniMax M3 428B at 48 tok/s/user: 3319 / 2417 tok/s/GPU, $0.17 / $0.29 per million tokens. B200 is 75% cheaper per token; B200 delivers 37% more tok/s/GPU.
Around the middle of the 11–158 tok/s/user interactivity band, at 84 tok/s/user on MiniMax M3 428B: B200 runs 1651 tok/s/GPU at $0.33/M tokens, GB300 NVL72 runs 763 at $1.00/M. B200 is 198% cheaper per token; B200 delivers 116% more tok/s/GPU.
Setting 121 tok/s/user as the target on MiniMax M3 428B, B200 produces 1368 tok/s/GPU ($0.42 per million tokens) and GB300 NVL72 produces 266 ($2.73). B200 is 553% cheaper per token; B200 delivers 415% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:3318.7GB300 NVL72:2417.3 | B200:1650.8GB300 NVL72:763.0 | B200:1368.4GB300 NVL72:266.0 |
| Cost ($/M tok) | B200:$0.166GB300 NVL72:$0.291 | B200:$0.334GB300 NVL72:$0.996 | B200:$0.417GB300 NVL72:$2.726 |
| tok/s/MW | B200:1940764GB300 NVL72:1140228 | B200:965404GB300 NVL72:359904 | B200:800214GB300 NVL72:125448 |
| Concurrency | B200:~168GB300 NVL72:~602 | B200:~59GB300 NVL72:~89 | B200:~25GB300 NVL72:~23 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.