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: $0.06 per million tokens. MI355X: $0.10. Both at 37 tok/s/user on DeepSeek V4 Pro 1.6T, with GB200 NVL72 51% cheaper.
Around the middle of the 6–130 tok/s/user interactivity band — at 68 tok/s/user — GB200 NVL72 runs $0.07 per million tokens on DeepSeek V4 Pro 1.6T while MI355X runs $0.24. GB200 NVL72 is the cheaper choice by 246%.
On DeepSeek V4 Pro 1.6T at 100 tok/s/user, the per-million math comes out to $0.09 for GB200 NVL72 and $0.49 for MI355X; GB200 NVL72 delivers 450% 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.)
GPU pricing (owning hyperscaler): GB200 NVL72 $2.21/GPU/hr · MI355X $1.48/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 | GB200 NVL72:$0.064MI355X:$0.096 | GB200 NVL72:$0.069MI355X:$0.239 | GB200 NVL72:$0.089MI355X:$0.489 |
| Concurrency | GB200 NVL72:~13489MI355X:~512 | GB200 NVL72:~7562MI355X:~32 | GB200 NVL72:~2340MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.