ScaleDown: Extract vs Google: Gemma 2 27B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing ScaleDown: Extract (scaledown/extract) vs Google: Gemma 2 27B (google/gemma-2-27b-it). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Google: Gemma 2 27B (google/gemma-2-27b-it) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing ScaleDown: Extract (API ID: scaledown/extract) vs Google: Gemma 2 27B (API ID: google/gemma-2-27b-it), 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). ScaleDown: Extract 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 | ScaleDown: Extract | Google: Gemma 2 27B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | scaledown/extract | google/gemma-2-27b-it | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0 | $0.65 / $0.65 | ScaleDown: Extract |
| Cache Read Price (per 1M) | $0.02/1M (50% Off) | $0.325/1M (50% Off) | ScaleDown: Extract |
| Context Window / Max Output | 977K In / 879K Out | 8K In / 2K Out | ScaleDown: Extract |
| P90 First-Token / Edge Latency | 280ms | 280ms | ScaleDown: Extract (-0ms) |
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
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety
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 ScaleDown: Extract to Google: Gemma 2 27B
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety Verified P90 latency of 280ms.