MiniMax M2.5/M2.7 — B300 vs GB300 NVL72
Head-to-head AI inference benchmark comparison of B300 (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.
B300 posts 6798 tok/s/GPU for $0.10 per million tokens at 69 tok/s/user on MiniMax M2.5/M2.7; GB300 NVL72 posts 8401 tok/s/GPU for $0.08. GB300 NVL72 is 15% cheaper per token; GB300 NVL72 delivers 24% more tok/s/GPU.
Throughput at 108 tok/s/user on MiniMax M2.5/M2.7: B300 hits 2787 tok/s/GPU, GB300 NVL72 hits 3059. Per-million costs land at $0.23 and $0.24 respectively. B300 is 3% cheaper per token; GB300 NVL72 delivers 10% more tok/s/GPU.
B300 / GB300 NVL72 on MiniMax M2.5/M2.7 at 147 tok/s/user: 1054 / 1009 tok/s/GPU, $0.62 / $0.73 per million tokens. B300 is 18% cheaper per token; B300 delivers 4% more tok/s/GPU. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B300:6797.7GB300 NVL72:8401.0 | B300:2786.7GB300 NVL72:3058.6 | B300:1053.8GB300 NVL72:1008.6 |
| Cost ($/M tok) | B300:$0.097GB300 NVL72:$0.084 | B300:$0.233GB300 NVL72:$0.241 | B300:$0.618GB300 NVL72:$0.727 |
| tok/s/MW | B300:3132577GB300 NVL72:4000464 | B300:1284190GB300 NVL72:1456484 | B300:485618GB300 NVL72:480294 |
| Concurrency | B300:~395GB300 NVL72:~1024 | B300:~72GB300 NVL72:~121 | B300:~9GB300 NVL72:~22 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.