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Classify-1

scaledown·scaledown/scaledown-classify-1·GA·Closed·Decision·NEW
ScaleDown Classify-1 is a task-specific small language model for text classification. It assigns text to custom labels and returns probability scores, supporting intent detection, content categorization, and routing workflows. Its deterministic, encoder-only approach produces consistent classification results without sampling variability.

Classify-1 by scaledown is offered by 2 providers on this page. No official API price is listed for it; the prices below come from third-party channels. The lowest paid channel is OpenRouter at $0.04 / $0 per 1M. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. Prices vary about 1.3× across the providers that host it.

Accepted input modalities are Text, Image, and PDF. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use.

Specs & pricing

Input / output per 1M tokens
Official price
—
Lowest paid·OpenRouterGateway
$0.04 / $0
Blended $0.03 · 1.3× spread
Context
—
Output limit
—
Knowledge cutoff
—
Released / updated
2026-10-13 / 2026-10-13
Capabilities
ReasoningTool useStructured outputTemperatureAttachments
⚠ Providers report capability flags inconsistently
Modalities
TextImagePDF

Available at 2 providers2 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
OpenRouter
scaledown/classify-1
Gateway$0.04$0——1,000,000—
Vercel AI GatewayCloud$0.05$0————

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1OpenRouter$8.00
2Vercel AI Gateway$10.00
The cheapest paid channel is the only channel.

Price historyone sample accumulated per data sync

Input list —Output list —Min blended $0.03

Price history accumulates from each data sync; currently only 1 sample(s) (2026-10-21). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT)