ScaleDown: Extract vs OpenAI: o3 Mini (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing ScaleDown: Extract (scaledown/extract) vs OpenAI: o3 Mini (batch) (openai/o3-mini:batch). 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.
OpenAI: o3 Mini (batch) (openai/o3-mini:batch) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing ScaleDown: Extract (API ID: scaledown/extract) vs OpenAI: o3 Mini (batch) (API ID: openai/o3-mini:batch), 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 | OpenAI: o3 Mini (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | scaledown/extract | openai/o3-mini:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0 | $0.55 / $2.2 | ScaleDown: Extract |
| Cache Read Price (per 1M) | $0.02/1M (50% Off) | $0.275/1M (50% Off) | ScaleDown: Extract |
| Context Window / Max Output | 977K In / 879K Out | 195K In / 98K 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
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning
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 OpenAI: o3 Mini (batch)
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning Verified P90 latency of 280ms.