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 50 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, with GB200 NVL72 236% cheaper.
Around the middle of the 26–123 tok/s/user interactivity band — at 74 tok/s/user — GB200 NVL72 runs $0.08 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 143%.
On Kimi K2.5/K2.6/K2.7-Code 1T at 99 tok/s/user, the per-million math comes out to $0.33 for GB200 NVL72 and $0.26 for MI355X; MI355X delivers 29% 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.)
Chip pricing (owning hyperscaler): GB200 NVL72 $1.86/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 | GB200 NVL72:$0.039MI355X:$0.132 | GB200 NVL72:$0.075MI355X:$0.183 | GB200 NVL72:$0.334MI355X:$0.259 |
| Concurrency | GB200 NVL72:~1229MI355X:~29 | GB200 NVL72:~697MI355X:~14 | GB200 NVL72:~256MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.