DeepSeek R1 — Jalapeño vs MI355X Performance per Dollar
Cost per million tokens of Jalapeño (OpenAI Jalapeño) versus MI355X (AMD CDNA 4) on DeepSeek R1. Large-hyperscaler-volume ownership TCO normalized by total 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.
Jalapeño edges MI355X at 137 tok/s/user on DeepSeek R1 — $0.03 per million tokens versus $0.12, a 266% cost-per-token gap.
Push DeepSeek R1 to 208 tok/s/user and Jalapeño lands at $0.07 per million tokens against MI355X's $0.46 — Jalapeño pulls ahead by 552%.
Jalapeño: $0.21 per million tokens. MI355X: $0.81. Both at 279 tok/s/user on DeepSeek R1, with Jalapeño 285% cheaper. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): Jalapeño $1.27/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 | Jalapeño:$0.034MI355X:$0.123 | Jalapeño:$0.070MI355X:$0.459 | Jalapeño:$0.210MI355X:$0.809 |
| Concurrency | Jalapeño:~555MI355X:~64 | Jalapeño:~122MI355X:~6 | Jalapeño:~26MI355X:~5 |