Kimi K2.5/K2.6/K2.7-Code 1T — B200 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B200 (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.
Setting 62 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, B200 produces 4229 tok/s/GPU ($0.13 per million tokens) and GB200 NVL72 produces 9455 ($0.06). GB200 NVL72 is 103% cheaper per token; GB200 NVL72 delivers 124% more tok/s/GPU.
At 102 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, B200 delivers 1854 tok/s/GPU at $0.30 per million tokens; GB200 NVL72 delivers 1546 tok/s/GPU at $0.40. B200 is 34% cheaper per token; B200 delivers 20% more tok/s/GPU at this point.
B200 posts 588 tok/s/GPU for $0.92 per million tokens at 141 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T; GB200 NVL72 posts 733 tok/s/GPU for $0.82. GB200 NVL72 is 13% cheaper per token; GB200 NVL72 delivers 25% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:4229.3GB200 NVL72:9454.9 | B200:1854.1GB200 NVL72:1545.8 | B200:588.2GB200 NVL72:732.9 |
| Cost ($/M tok) | B200:$0.132GB200 NVL72:$0.065 | B200:$0.297GB200 NVL72:$0.397 | B200:$0.921GB200 NVL72:$0.817 |
| tok/s/MW | B200:2473302GB200 NVL72:5056105 | B200:1084290GB200 NVL72:826625 | B200:343952GB200 NVL72:391932 |
| Concurrency | B200:~208GB200 NVL72:~1229 | B200:~80GB200 NVL72:~199 | B200:~5GB200 NVL72:~27 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.