DeepSeek R1 — GB200 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) on DeepSeek R1. 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.
Push DeepSeek R1 to 74 tok/s/user and GB200 NVL72 lands at $0.05 per million tokens against MI355X's $0.24 — GB200 NVL72 pulls ahead by 345%.
GB200 NVL72: $0.19 per million tokens. MI355X: $1.01. Both at 131 tok/s/user on DeepSeek R1, with GB200 NVL72 432% cheaper.
Toward the upper edge of the 18–244 tok/s/user interactivity band — at 188 tok/s/user — GB200 NVL72 runs $0.89 per million tokens on DeepSeek R1 while MI355X runs $2.31. GB200 NVL72 is the cheaper choice by 159%. (Numbers reflect the default 1k/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:$0.053MI355X:$0.236 | GB200 NVL72:$0.190MI355X:$1.010 | GB200 NVL72:$0.892MI355X:$2.314 |
| Concurrency | GB200 NVL72:~3109MI355X:~254 | GB200 NVL72:~830MI355X:~22 | GB200 NVL72:~86MI355X:~4 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.