DeepSeek V4 Pro 1.6T — B300 vs MI325X Performance per Dollar
Cost per million tokens of B300 (NVIDIA Blackwell) versus MI325X (AMD CDNA 3) 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.
Only B300 has cost data at 70 tok/s/user on DeepSeek V4 Pro 1.6T — $0.26 per million tokens. MI325X is unmeasured at this target.
B300 costs $0.57 per million tokens at 137 tok/s/user on DeepSeek V4 Pro 1.6T; we have no MI325X benchmark data at this exact target.
At 203 tok/s/user on DeepSeek V4 Pro 1.6T, B300 comes in at $1.55 per million tokens. MI325X hasn't been benchmarked at this operating point. (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 · MI325X $1.28/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:$0.262MI325X:— | B300:$0.572MI325X:— | B300:$1.549MI325X:— |
| Concurrency | B300:~27MI325X:— | B300:~4MI325X:— | B300:~1MI325X:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.