MiniMax M3 428B — MI325X vs MI355X Performance per Dollar
Cost per million tokens of MI325X (AMD CDNA 3) versus MI355X (AMD CDNA 4) on MiniMax M3 428B. 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.
At 52 tok/s/user on MiniMax M3 428B, MI325X costs $0.64 per million tokens; MI355X costs $0.15. MI355X is 317% more cost-efficient at this operating point.
MI355X edges MI325X at 96 tok/s/user on MiniMax M3 428B — $0.28 per million tokens versus $1.72, a 523% cost-per-token gap.
Push MiniMax M3 428B to 139 tok/s/user and MI325X lands at $3.09 per million tokens against MI355X's $0.47 — MI355X pulls ahead by 553%. (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): MI325X $1.28/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 | MI325X:$0.640MI355X:$0.154 | MI325X:$1.724MI355X:$0.277 | MI325X:$3.092MI355X:$0.474 |
| Concurrency | MI325X:~47MI355X:~108 | MI325X:~9MI355X:~34 | MI325X:~4MI355X:~13 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.