DeepSeek V4 Pro 1.6T — H200 vs MI355X Performance per Dollar
Cost per million tokens of H200 (NVIDIA Hopper) 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.
H200: $1.72 per million tokens. MI355X: $58.8. Both at 46 tok/s/user on DeepSeek V4 Pro 1.6T, with H200 3309% cheaper.
Around the middle of the 1–181 tok/s/user interactivity band — at 91 tok/s/user — H200 runs $4.67 per million tokens on DeepSeek V4 Pro 1.6T while MI355X runs $58.8. H200 is the cheaper choice by 1159%.
On DeepSeek V4 Pro 1.6T at 136 tok/s/user, the per-million math comes out to $5.62 for H200 and $58.8 for MI355X; H200 delivers 945% more output per dollar. (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.)
GPU pricing (owning hyperscaler): H200 $1.41/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 | H200:$1.723MI355X:$58.750 | H200:$4.667MI355X:$58.750 | H200:$5.622MI355X:$58.750 |
| Concurrency | H200:~21MI355X:~8 | H200:~4MI355X:~8 | H200:~2MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.