scaledown
ScaleDown: Classify-1
scaledown/classify-1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog describes scaledown/classify-1 as a ScaleDown structured-decision model accessed through its Decisions API. The listing says it accepts text, image, and file inputs and returns decision outputs, scoring text or documents against caller-defined choice, yes/no, or ordered-scale questions with calibrated probabilities. It also reports a one-million-token context window. These are catalog claims, not measured performance; the supplied pack contains no independent model card or benchmark results.[1]
Strengths
- The catalog reports text, image, and file inputs, so it may fit workflows where evidence arrives in more than one format.[1]
- Its stated output is a structured decision with calibrated probabilities for caller-defined choices, yes/no questions, and ordered scales.[1]
- OpenRouter lists a one-million-token context window, which could be useful for long documents if confirmed in testing.[1]
Limitations
- Only OpenRouter catalog data was supplied; an independent model card was not available in this source pack.[1]
- The pack contains no benchmark results or other measured performance, so accuracy, calibration quality, latency, and real-world reliability remain unverified.[1]
- The catalog does not establish reasoning support or tunable request parameters; integration behavior should be confirmed against the Decisions API.[1]
Where to use it
- Consider it for document or file triage when each item must be mapped to a fixed choice, yes/no outcome, or ordered rating.[1]
- Consider it for classification-style decision support where calibrated probability outputs can feed an application-defined review or routing step.[1]
- Consider evaluating it for workflows that need to combine text, image, and file evidence into one structured decision.[1]
Sources
- [1] OpenRouter catalog · ScaleDown: Classify-1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Classify-1 is a structured decision model from ScaleDown, served through OpenRouter's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities...
Specifications
- Model ID
- scaledown/classify-1
- Canonical ID
- scaledown/classify-1-20260928
- Creator
- scaledown
- Added to OpenRouter
- 13.10.2026
- Context length
- 1,000,000
- Modality
- text+image+file->decisions
- Input modalities
- text, image, file
- Output modalities
- decisions
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| ScaleDown | 1,000,000 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.