gpt-oss 120B — GB200 NVL72 vs Jalapeño Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus Jalapeño (OpenAI Jalapeño) on gpt-oss 120B. 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 GB200 NVL72 at 207 tok/s/user on gpt-oss 120B — $0.01 per million tokens versus $0.02, a 202% cost-per-token gap.
Push gpt-oss 120B to 316 tok/s/user and GB200 NVL72 lands at $0.05 per million tokens against Jalapeño's $0.01 — Jalapeño pulls ahead by 476%.
GB200 NVL72: $0.15 per million tokens. Jalapeño: $0.02. Both at 426 tok/s/user on gpt-oss 120B, with Jalapeño 750% 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): GB200 NVL72 $1.86/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 | GB200 NVL72:$0.020Jalapeño:$0.007 | GB200 NVL72:$0.052Jalapeño:$0.009 | GB200 NVL72:$0.147Jalapeño:$0.017 |
| Concurrency | GB200 NVL72:~85Jalapeño:~631 | GB200 NVL72:~19Jalapeño:~227 | GB200 NVL72:~5Jalapeño:~67 |