DeepSeek R1 — GB300 NVL72 vs MI325X Performance per Dollar
Cost per million tokens of GB300 NVL72 (NVIDIA Blackwell) versus MI325X (AMD CDNA 3) 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 39 tok/s/user and GB300 NVL72 lands at $0.08 per million tokens against MI325X's $0.88 — GB300 NVL72 pulls ahead by 1005%.
GB300 NVL72: $0.17 per million tokens. MI325X: $1.35. Both at 50 tok/s/user on DeepSeek R1, with GB300 NVL72 685% cheaper.
Toward the upper edge of the 29–70 tok/s/user interactivity band — at 60 tok/s/user — GB300 NVL72 runs $0.18 per million tokens on DeepSeek R1 while MI325X runs $2.30. GB300 NVL72 is the cheaper choice by 1181%. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): GB300 NVL72 $2.31/chip/hr · MI325X $1.10/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 | GB300 NVL72:$0.080MI325X:$0.883 | GB300 NVL72:$0.171MI325X:$1.345 | GB300 NVL72:$0.179MI325X:$2.296 |
| Concurrency | GB300 NVL72:~3436MI325X:~39 | GB300 NVL72:~2007MI325X:~19 | GB300 NVL72:~1454MI325X:~9 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.