Kimi K2.5/K2.6 1T — GB200 NVL72 vs MI300X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI300X (AMD CDNA 3) on Kimi K2.5/K2.6 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 costs $0.33 per million tokens at 60 tok/s/user on Kimi K2.5/K2.6 1T; we have no MI300X benchmark data at this exact target.
At 103 tok/s/user on Kimi K2.5/K2.6 1T, GB200 NVL72 comes in at $1.18 per million tokens. MI300X hasn't been benchmarked at this operating point.
Only GB200 NVL72 has cost data at 146 tok/s/user on Kimi K2.5/K2.6 1T — $4.69 per million tokens. MI300X is unmeasured at this target. (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): GB200 NVL72 $2.21/GPU/hr · MI300X $1.12/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:$0.328MI300X:— | GB200 NVL72:$1.180MI300X:— | GB200 NVL72:$4.687MI300X:— |
| Concurrency | GB200 NVL72:~667MI300X:— | GB200 NVL72:~116MI300X:— | GB200 NVL72:~13MI300X:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.