DeepSeek V4 Pro 1.6T — GB300 NVL72 vs H200
Head-to-head AI inference benchmark comparison of GB300 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.
GB300 NVL72 hits 9384 tok/s/GPU for $0.08 per million tokens at 72 tok/s/user on DeepSeek V4 Pro 1.6T. No H200 data at this operating point.
GB300 NVL72: 3474 tok/s/GPU, $0.22 per million tokens at 130 tok/s/user on DeepSeek V4 Pro 1.6T. H200 is unmeasured here.
At 187 tok/s/user on DeepSeek V4 Pro 1.6T, GB300 NVL72 delivers 502 tok/s/GPU at $1.44 per million tokens; H200 hasn't been benchmarked at this target. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:9384.4H200:— | GB300 NVL72:3473.9H200:— | GB300 NVL72:501.8H200:— |
| Cost ($/M tok) | GB300 NVL72:$0.078H200:— | GB300 NVL72:$0.216H200:— | GB300 NVL72:$1.436H200:— |
| tok/s/MW | GB300 NVL72:4468745H200:— | GB300 NVL72:1654219H200:— | GB300 NVL72:238976H200:— |
| Concurrency | GB300 NVL72:~1163H200:— | GB300 NVL72:~288H200:— | GB300 NVL72:~13H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.