DeepSeek V4 Pro 1.6T — GB200 NVL72 vs H200
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and H200 (NVIDIA Hopper) on DeepSeek V4 Pro 1.6T. 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 55 tok/s/user on DeepSeek V4 Pro 1.6T, GB200 NVL72 delivers 9497 tok/s/GPU at $0.06 per million tokens; H200 hasn't been benchmarked at this target.
GB200 NVL72 hits 6644 tok/s/GPU for $0.09 per million tokens at 105 tok/s/user on DeepSeek V4 Pro 1.6T. No H200 data at this operating point.
GB200 NVL72: 526 tok/s/GPU, $1.17 per million tokens at 154 tok/s/user on DeepSeek V4 Pro 1.6T. H200 is unmeasured here. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:9497.1H200:— | GB200 NVL72:6644.2H200:— | GB200 NVL72:525.8H200:— |
| Cost ($/M tok) | GB200 NVL72:$0.065H200:— | GB200 NVL72:$0.093H200:— | GB200 NVL72:$1.169H200:— |
| tok/s/MW | GB200 NVL72:4522446H200:— | GB200 NVL72:3163896H200:— | GB200 NVL72:250366H200:— |
| Concurrency | GB200 NVL72:~16349H200:— | GB200 NVL72:~2152H200:— | GB200 NVL72:~45H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.