MiniMax M2.5/M2.7 — MI300X vs MI325X Performance per Dollar
Cost per million tokens of MI300X (AMD CDNA 3) versus MI325X (AMD CDNA 3) on MiniMax M2.5/M2.7. 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.
On MiniMax M2.5/M2.7 at 44 tok/s/user, the per-million math comes out to $0.25 for MI300X and $0.20 for MI325X; MI325X delivers 25% more output per dollar.
At 61 tok/s/user on MiniMax M2.5/M2.7, MI300X costs $0.40 per million tokens; MI325X costs $0.39. MI325X is 3% more cost-efficient at this operating point.
MI325X edges MI300X at 78 tok/s/user on MiniMax M2.5/M2.7 — $0.74 per million tokens versus $0.75, a 1% cost-per-token gap. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
GPU pricing (owning hyperscaler): MI300X $1.12/GPU/hr · MI325X $1.28/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 | MI300X:$0.250MI325X:$0.200 | MI300X:$0.402MI325X:$0.391 | MI300X:$0.747MI325X:$0.739 |
| Concurrency | MI300X:~63MI325X:~166 | MI300X:~26MI325X:~61 | MI300X:~11MI325X:~27 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.