Kimi K2.5/K2.6/K2.7-Code 1T — Jalapeño vs MI355X Performance per Dollar
Cost per million tokens of Jalapeño (OpenAI Jalapeño) versus MI355X (AMD CDNA 4) on Kimi K2.5/K2.6/K2.7-Code 1T. 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.
Push Kimi K2.5/K2.6/K2.7-Code 1T to 76 tok/s/user and Jalapeño lands at $0.03 per million tokens against MI355X's $0.19 — Jalapeño pulls ahead by 546%.
Jalapeño: $0.03 per million tokens. MI355X: $0.23. Both at 92 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T, with Jalapeño 637% cheaper.
Toward the upper edge of the 61–123 tok/s/user interactivity band — at 107 tok/s/user — Jalapeño runs $0.03 per million tokens on Kimi K2.5/K2.6/K2.7-Code 1T while MI355X runs $0.29. Jalapeño is the cheaper choice by 781%. (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:$0.029MI355X:$0.188 | Jalapeño:$0.031MI355X:$0.229 | Jalapeño:$0.033MI355X:$0.294 |
| Concurrency | Jalapeño:~1500MI355X:~13 | Jalapeño:~1037MI355X:~9 | Jalapeño:~756MI355X:~5 |