MiniMax M3 428B — B300 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of B300 (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.
Throughput at 48 tok/s/user on MiniMax M3 428B: B300 hits 3502 tok/s/GPU, GB300 NVL72 hits 2417. Per-million costs land at $0.19 and $0.29 respectively. B300 is 57% cheaper per token; B300 delivers 45% more tok/s/GPU.
B300 / GB300 NVL72 on MiniMax M3 428B at 85 tok/s/user: 1852 / 743 tok/s/GPU, $0.35 / $1.03 per million tokens. B300 is 193% cheaper per token; B300 delivers 149% more tok/s/GPU.
Toward the upper edge of the 12–158 tok/s/user interactivity band, at 122 tok/s/user on MiniMax M3 428B: B300 runs 1129 tok/s/GPU at $0.58/M tokens, GB300 NVL72 runs 257 at $2.82/M. B300 is 388% cheaper per token; B300 delivers 338% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B300:3501.7GB300 NVL72:2417.3 | B300:1852.1GB300 NVL72:743.4 | B300:1128.8GB300 NVL72:257.4 |
| Cost ($/M tok) | B300:$0.186GB300 NVL72:$0.291 | B300:$0.350GB300 NVL72:$1.028 | B300:$0.577GB300 NVL72:$2.816 |
| tok/s/MW | B300:1842975GB300 NVL72:1140228 | B300:974792GB300 NVL72:350681 | B300:594087GB300 NVL72:121434 |
| Concurrency | B300:~447GB300 NVL72:~602 | B300:~62GB300 NVL72:~86 | B300:~23GB300 NVL72:~22 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.