ScaleDown: Extract vs inclusionAI: Ling 3.1 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing ScaleDown: Extract (scaledown/extract) vs inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash). 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.
inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for inclusionAI: Ling 3.1 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing ScaleDown: Extract (API ID: scaledown/extract) vs inclusionAI: Ling 3.1 Flash (API ID: inclusionai/ling-3.1-flash), 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 | inclusionAI: Ling 3.1 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | scaledown/extract | inclusionai/ling-3.1-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.04 / $0 | $0.075 / $0.225 | ScaleDown: Extract |
| Cache Read Price (per 1M) | $0.02/1M (50% Off) | $0.0375/1M (50% Off) | ScaleDown: Extract |
| Context Window / Max Output | 977K In / 879K Out | 256K In / 230K 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
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
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 inclusionAI: Ling 3.1 Flash
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total. Verified P90 latency of 280ms.