Kimi K2.5/K2.6/K2.7-Code 1T — B300 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and GB200 NVL72 (NVIDIA Blackwell) on Kimi K2.5/K2.6/K2.7-Code 1T. 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 62 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, B300 delivers 2929 tok/s/chip at $0.21 per million tokens; GB200 NVL72 delivers 9455 tok/s/chip at $0.05. GB200 NVL72 is 289% cheaper per token; GB200 NVL72 delivers 223% more tok/s/chip at this point.
B300 posts 1731 tok/s/chip for $0.36 per million tokens at 99 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T; GB200 NVL72 posts 1548 tok/s/chip for $0.33. GB200 NVL72 is 8% cheaper per token; B300 delivers 12% more tok/s/chip.
Throughput at 136 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: B300 hits 783 tok/s/chip, GB200 NVL72 hits 837. Per-million costs land at $0.79 and $0.61 respectively. GB200 NVL72 is 29% cheaper per token; GB200 NVL72 delivers 7% more tok/s/chip. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:2929.1GB200 NVL72:9454.9 | B300:1731.4GB200 NVL72:1548.2 | B300:783.1GB200 NVL72:836.8 |
| Cost ($/M tok) | B300:$0.213GB200 NVL72:$0.055 | B300:$0.362GB200 NVL72:$0.334 | B300:$0.792GB200 NVL72:$0.614 |
| tok/s/MW | B300:1541639GB200 NVL72:5056105 | B300:911253GB200 NVL72:827888 | B300:412168GB200 NVL72:447506 |
| Concurrency | B300:~21GB200 NVL72:~1229 | B300:~8GB200 NVL72:~256 | B300:~3GB200 NVL72:~28 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.