Kimi K2.5/K2.6/K2.7-Code 1T — MI325X vs MI355X Performance per Dollar
Cost per million tokens of MI325X (AMD CDNA 3) 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.
MI355X edges MI325X at 27 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T — $0.50 per million tokens versus $2.19, a 335% cost-per-token gap.
Push Kimi K2.5/K2.6/K2.7-Code 1T to 35 tok/s/user and MI325X lands at $2.60 per million tokens against MI355X's $0.69 — MI355X pulls ahead by 278%.
MI325X: $4.07 per million tokens. MI355X: $0.89. Both at 43 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, with MI355X 357% cheaper. (Numbers reflect the default 1k/1k · int4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): MI325X $1.10/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 | MI325X:$2.194MI355X:$0.504 | MI325X:$2.598MI355X:$0.687 | MI325X:$4.066MI355X:$0.890 |
| Concurrency | MI325X:~21MI355X:~62 | MI325X:~14MI355X:~36 | MI325X:~7MI355X:~22 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.