DeepSeek V4 Pro 1.6T — GB200 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) 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.
GB200 NVL72: $0.05 per million tokens. MI355X: $0.14. Both at 46 tok/s/user on DeepSeek V4 Pro 1.6T, with GB200 NVL72 156% cheaper.
Around the middle of the 18–133 tok/s/user interactivity band — at 75 tok/s/user — GB200 NVL72 runs $0.06 per million tokens on DeepSeek V4 Pro 1.6T while MI355X runs $0.26. GB200 NVL72 is the cheaper choice by 328%.
On DeepSeek V4 Pro 1.6T at 104 tok/s/user, the per-million math comes out to $0.08 for GB200 NVL72 and $0.53 for MI355X; GB200 NVL72 delivers 588% more output per dollar. (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.)
Chip pricing (owning hyperscaler): GB200 NVL72 $1.86/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | GB200 NVL72:$0.054MI355X:$0.138 | GB200 NVL72:$0.060MI355X:$0.257 | GB200 NVL72:$0.077MI355X:$0.531 |
| Concurrency | GB200 NVL72:~15421MI355X:~100 | GB200 NVL72:~6302MI355X:~27 | GB200 NVL72:~2196MI355X:~7 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.