DeepSeek R1 — H200 vs MI355X Performance per Dollar
Cost per million tokens of H200 (NVIDIA Hopper) 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 59 tok/s/user and H200 lands at $0.80 per million tokens against MI355X's $0.45 — MI355X pulls ahead by 79%.
H200: $2.30 per million tokens. MI355X: $0.92. Both at 98 tok/s/user on DeepSeek R1, with MI355X 151% cheaper.
Toward the upper edge of the 21–174 tok/s/user interactivity band — at 136 tok/s/user — H200 runs $8.60 per million tokens on DeepSeek R1 while MI355X runs $1.91. MI355X is the cheaper choice by 351%. (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): H200 $1.22/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 | H200:$0.805MI355X:$0.450 | H200:$2.304MI355X:$0.917 | H200:$8.600MI355X:$1.906 |
| Concurrency | H200:~133MI355X:~199 | H200:~6MI355X:~18 | H200:~14MI355X:~6 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.