DeepSeek V4 Pro 1.6T — B300 vs H200 Performance per Dollar
Cost per million tokens of B300 (NVIDIA Blackwell) versus H200 (NVIDIA Hopper) on DeepSeek V4 Pro 1.6T. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
B300 costs $0.26 per million tokens at 70 tok/s/user on DeepSeek V4 Pro 1.6T; we have no H200 benchmark data at this exact target.
At 137 tok/s/user on DeepSeek V4 Pro 1.6T, B300 comes in at $0.57 per million tokens. H200 hasn't been benchmarked at this operating point.
Only B300 has cost data at 203 tok/s/user on DeepSeek V4 Pro 1.6T — $1.55 per million tokens. H200 is unmeasured 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.)
GPU pricing (owning hyperscaler): B300 $2.34/GPU/hr · H200 $1.41/GPU/hr. Source: SemiAnalysis Market August 2025 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B300:$0.262H200:— | B300:$0.572H200:— | B300:$1.549H200:— |
| Concurrency | B300:~27H200:— | B300:~4H200:— | B300:~1H200:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.