DeepSeek R1 — GB300 NVL72 vs Jalapeño Performance per Dollar
Cost per million tokens of GB300 NVL72 (NVIDIA Blackwell) versus Jalapeño (OpenAI Jalapeño) 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 GB300 NVL72 at 127 tok/s/user on DeepSeek R1 — $0.03 per million tokens versus $0.07, a 112% cost-per-token gap.
Push DeepSeek R1 to 189 tok/s/user and GB300 NVL72 lands at $0.31 per million tokens against Jalapeño's $0.05 — Jalapeño pulls ahead by 519%.
GB300 NVL72: $0.76 per million tokens. Jalapeño: $0.16. Both at 251 tok/s/user on DeepSeek R1, with Jalapeño 382% 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): GB300 NVL72 $2.31/chip/hr · Jalapeño $1.27/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 | GB300 NVL72:$0.068Jalapeño:$0.032 | GB300 NVL72:$0.305Jalapeño:$0.049 | GB300 NVL72:$0.761Jalapeño:$0.158 |
| Concurrency | GB300 NVL72:~433Jalapeño:~653 | GB300 NVL72:~50Jalapeño:~220 | GB300 NVL72:~17Jalapeño:~39 |