Kimi K2.5/K2.6/K2.7-Code 1T — GB200 NVL72 vs H200
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and H200 (NVIDIA Hopper) 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 64 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 delivers 8980 tok/s/chip at $0.06 per million tokens; H200 hasn't been benchmarked at this target.
GB200 NVL72 hits 1545 tok/s/chip for $0.33 per million tokens at 103 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T. No H200 data at this operating point.
GB200 NVL72: 733 tok/s/chip, $0.69 per million tokens at 141 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T. H200 is unmeasured here. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:8979.7H200:— | GB200 NVL72:1545.4H200:— | GB200 NVL72:732.9H200:— |
| Cost ($/M tok) | GB200 NVL72:$0.057H200:— | GB200 NVL72:$0.334H200:— | GB200 NVL72:$0.688H200:— |
| tok/s/MW | GB200 NVL72:4801979H200:— | GB200 NVL72:826425H200:— | GB200 NVL72:391932H200:— |
| Concurrency | GB200 NVL72:~1203H200:— | GB200 NVL72:~167H200:— | GB200 NVL72:~27H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.