DeepSeek R1 — MI300X vs MI355X Performance per Dollar
Cost per million tokens of MI300X (AMD CDNA 3) versus MI355X (AMD CDNA 4) on DeepSeek R1. 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 DeepSeek R1 at 36 tok/s/user, the per-million math comes out to $0.99 for MI300X and $0.21 for MI355X; MI355X delivers 362% more output per dollar.
At 47 tok/s/user on DeepSeek R1, MI300X costs $1.41 per million tokens; MI355X costs $0.31. MI355X is 360% more cost-efficient at this operating point.
MI355X edges MI300X at 58 tok/s/user on DeepSeek R1 — $0.44 per million tokens versus $2.32, a 427% 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.)
Chip pricing (owning hyperscaler): MI300X $0.95/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 | MI300X:$0.986MI355X:$0.214 | MI300X:$1.410MI355X:$0.307 | MI300X:$2.322MI355X:$0.440 |
| Concurrency | MI300X:~31MI355X:~765 | MI300X:~17MI355X:~421 | MI300X:~8MI355X:~214 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.