Inference.net: Schematron V2 Small vs inclusionAI: Ling 3.1 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Inference.net: Schematron V2 Small (inference-net/schematron-v2-small) vs inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Inference.net: Schematron V2 Small (inference-net/schematron-v2-small) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inference.net: Schematron V2 Small: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.025/1M) 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 Inference.net: Schematron V2 Small (API ID: inference-net/schematron-v2-small) vs inclusionAI: Ling 3.1 Flash (API ID: inclusionai/ling-3.1-flash), Inference.net: Schematron V2 Small offers lower standard input pricing at $0.05/1M tokens ($0.23/1M output), while Inference.net: Schematron V2 Small leads in cached prefix economics at $0.025/1M tokens (50% discount). Inference.net: Schematron V2 Small 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 | Inference.net: Schematron V2 Small | inclusionAI: Ling 3.1 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | inference-net/schematron-v2-small | inclusionai/ling-3.1-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.23 | $0.075 / $0.225 | Inference.net: Schematron V2 Small |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.0375/1M (50% Off) | Inference.net: Schematron V2 Small |
| Context Window / Max Output | 125K In / 4K Out | 256K In / 230K Out | inclusionAI: Ling 3.1 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Inference.net: Schematron V2 Small (-0ms) |
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instruction
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 Inference.net: Schematron V2 Small 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.