DeepSeek V4 Pro 1.6T — B200 vs MI355X Performance per Dollar
Cost per million tokens of B200 (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.
B200: $0.18 per million tokens. MI355X: $0.30. Both at 37 tok/s/user on DeepSeek V4 Pro 1.6T, with B200 65% cheaper.
Around the middle of the 7–127 tok/s/user interactivity band — at 67 tok/s/user — B200 runs $0.37 per million tokens on DeepSeek V4 Pro 1.6T while MI355X runs $1.31. B200 is the cheaper choice by 254%.
On DeepSeek V4 Pro 1.6T at 98 tok/s/user, the per-million math comes out to $2.30 for B200 and $2.06 for MI355X; MI355X delivers 12% more output per dollar. (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.)
GPU pricing (owning hyperscaler): B200 $1.95/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 | B200:$0.182MI355X:$0.300 | B200:$0.370MI355X:$1.309 | B200:$2.303MI355X:$2.062 |
| Concurrency | B200:~361MI355X:~166 | B200:~105MI355X:~20 | B200:~10MI355X:~9 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.