Kimi K2.5/K2.6/K2.7-Code 1T — GB200 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) on Kimi K2.5/K2.6/K2.7-Code 1T. 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.
GB200 NVL72: $0.04 per million tokens. MI355X: $0.13. Both at 48 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, with GB200 NVL72 181% cheaper.
Around the middle of the 24–123 tok/s/user interactivity band — at 73 tok/s/user — GB200 NVL72 runs $0.09 per million tokens on Kimi K2.5/K2.6/K2.7-Code 1T while MI355X runs $0.18. GB200 NVL72 is the cheaper choice by 108%.
On Kimi K2.5/K2.6/K2.7-Code 1T at 98 tok/s/user, the per-million math comes out to $0.40 for GB200 NVL72 and $0.25 for MI355X; MI355X delivers 58% more output per dollar. (Numbers reflect the default 8k/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): GB200 NVL72 $2.21/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 | GB200 NVL72:$0.045MI355X:$0.126 | GB200 NVL72:$0.086MI355X:$0.178 | GB200 NVL72:$0.396MI355X:$0.250 |
| Concurrency | GB200 NVL72:~1266MI355X:~31 | GB200 NVL72:~751MI355X:~15 | GB200 NVL72:~254MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.