MiniMax M3 428B — MI300X vs MI325X Performance per Dollar
Cost per million tokens of MI300X (AMD CDNA 3) versus MI325X (AMD CDNA 3) 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.
Push MiniMax M3 428B to 48 tok/s/user and MI300X lands at $0.51 per million tokens against MI325X's $0.49 — MI325X pulls ahead by 3%.
MI300X: $1.31 per million tokens. MI325X: $1.18. Both at 82 tok/s/user on MiniMax M3 428B, with MI325X 11% cheaper.
Toward the upper edge of the 15–149 tok/s/user interactivity band — at 115 tok/s/user — MI300X runs $1.82 per million tokens on MiniMax M3 428B while MI325X runs $1.93. MI300X is the cheaper choice by 6%. (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.)
Chip pricing (owning hyperscaler): MI300X $0.95/chip/hr · MI325X $1.10/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 | MI300X:$0.509MI325X:$0.493 | MI300X:$1.307MI325X:$1.176 | MI300X:$1.819MI325X:$1.929 |
| Concurrency | MI300X:~45MI325X:~57 | MI300X:~10MI325X:~13 | MI300X:~5MI325X:~6 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.