Amazon: Nova Premier 1.0 vs ScaleDown: Extract: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) vs ScaleDown: Extract (scaledown/extract). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Amazon: Nova Premier 1.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
ScaleDown: Extract (scaledown/extract) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for ScaleDown: Extract: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.02/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Amazon: Nova Premier 1.0 (API ID: amazon/nova-premier-v1) vs ScaleDown: Extract (API ID: scaledown/extract), ScaleDown: Extract offers lower standard input pricing at $0.04/1M tokens ($0/1M output), while ScaleDown: Extract leads in cached prefix economics at $0.02/1M tokens (50% discount). Amazon: Nova Premier 1.0 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Amazon: Nova Premier 1.0 | ScaleDown: Extract | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | amazon/nova-premier-v1 | scaledown/extract | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $12.5 | $0.04 / $0 | ScaleDown: Extract |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.02/1M (50% Off) | ScaleDown: Extract |
| Context Window / Max Output | 977K In / 31K Out | 977K In / 879K Out | ScaleDown: Extract |
| P90 First-Token / Edge Latency | 280ms | 280ms | Amazon: Nova Premier 1.0 (-0ms) |
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `prov
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Amazon: Nova Premier 1.0 to ScaleDown: Extract
Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `prov Verified P90 latency of 280ms.