Kimi K2.5/K2.6/K2.7-Code 1T — GB300 NVL72 vs H200
Head-to-head AI inference benchmark comparison of GB300 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.
GB300 NVL72: 5218 tok/s/GPU, $0.14 per million tokens at 50 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T. H200 is unmeasured here.
At 85 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, GB300 NVL72 delivers 471 tok/s/GPU at $1.52 per million tokens; H200 hasn't been benchmarked at this target.
GB300 NVL72 hits 234 tok/s/GPU for $3.14 per million tokens at 119 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T. No H200 data at this operating point. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:5218.4H200:— | GB300 NVL72:471.3H200:— | GB300 NVL72:233.8H200:— |
| Cost ($/M tok) | GB300 NVL72:$0.138H200:— | GB300 NVL72:$1.524H200:— | GB300 NVL72:$3.138H200:— |
| tok/s/MW | GB300 NVL72:2484948H200:— | GB300 NVL72:224425H200:— | GB300 NVL72:111347H200:— |
| Concurrency | GB300 NVL72:~1324H200:— | GB300 NVL72:~95H200:— | GB300 NVL72:~34H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.