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: $0.21 per million tokens. MI355X: $0.18. Both at 54 tok/s/user on Llama 3.3 70B, with MI355X 17% cheaper.
Around the middle of the 34–116 tok/s/user interactivity band — at 75 tok/s/user — MI325X runs $0.36 per million tokens on Llama 3.3 70B while MI355X runs $0.26. MI355X is the cheaper choice by 35%.
On Llama 3.3 70B at 96 tok/s/user, the per-million math comes out to $0.60 for MI325X and $0.56 for MI355X; MI355X delivers 9% 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.)
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:$0.215MI355X:$0.184 | MI325X:$0.357MI355X:$0.265 | MI325X:$0.605MI355X:$0.555 |
| Concurrency | MI325X:~64MI355X:~50 | MI325X:~53MI355X:~46 | MI325X:~21MI355X:~16 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.