Llama 3.3 70B — MI325X vs MI355X Performance per Dollar
Cost per million tokens of MI325X (AMD CDNA 3) versus MI355X (AMD CDNA 4) on Llama 3.3 70B. 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.
MI325X: $0.25 per million tokens. MI355X: $0.18. Both at 54 tok/s/user on Llama 3.3 70B, with MI355X 37% cheaper.
Around the middle of the 34–116 tok/s/user interactivity band — at 75 tok/s/user — MI325X runs $0.42 per million tokens on Llama 3.3 70B while MI355X runs $0.26. MI355X is the cheaper choice by 59%.
On Llama 3.3 70B at 96 tok/s/user, the per-million math comes out to $0.70 for MI325X and $0.55 for MI355X; MI355X delivers 28% more output per dollar. (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:$0.250MI355X:$0.182 | MI325X:$0.416MI355X:$0.261 | MI325X:$0.703MI355X:$0.548 |
| Concurrency | MI325X:~64MI355X:~50 | MI325X:~53MI355X:~46 | MI325X:~21MI355X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.