DeepSeek V4 Pro 1.6T — GB300 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB300 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.
Near the low end of the 13–57 tok/s/user interactivity band — at 24 tok/s/user — GB300 NVL72 runs $0.07 per million tokens on DeepSeek V4 Pro 1.6T while MI355X runs $0.51. GB300 NVL72 is the cheaper choice by 676%.
On DeepSeek V4 Pro 1.6T at 35 tok/s/user, the per-million math comes out to $0.08 for GB300 NVL72 and $0.79 for MI355X; GB300 NVL72 delivers 909% more output per dollar.
At 46 tok/s/user on DeepSeek V4 Pro 1.6T, GB300 NVL72 costs $0.09 per million tokens; MI355X costs $1.67. GB300 NVL72 is 1735% more cost-efficient 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): GB300 NVL72 $2.65/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 | GB300 NVL72:$0.065MI355X:$0.507 | GB300 NVL72:$0.078MI355X:$0.791 | GB300 NVL72:$0.091MI355X:$1.670 |
| Concurrency | GB300 NVL72:~12683MI355X:~32 | GB300 NVL72:~2953MI355X:~14 | GB300 NVL72:~1355MI355X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.