ScaleDown
Explore ScaleDown models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
ScaleDownscaledown
ZDR
These privacy labels describe ScaleDown, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | ScaleDown |
|---|---|
| Routing status | Active |
| Provider website | https://scaledown.ai/ |
| Models | 4 public models |
| Credits routes | 4 |
| Zero data retention | yes All routes |
| Verified confidential inference | Not verified |
| Policy note | Carbon ScaleDown, Inc. serves compression, summarization, extraction, and classification tasks. Its public DPA commits to volatile-memory processing, zero retention of customer inputs and outputs, no model training on customer data, and US-only processing. Content-free operational logs may be retained for up to 90 days. These are ZDR routes, not attested confidential-compute or E2EE routes. Input tokens are billable; output tokens are free. Policy source |
Measured performance
34 samplesContinuously sampled across ScaleDown's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.
| p50 TTFT | 1380 ms |
|---|---|
| Effective throughput | — |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| scaledown/compress | 1380 ms | — | 100.00% | — | 10 |
| scaledown/summarize | 3014 ms | — | 100.00% | — | 10 |
| scaledown/extract | 1208 ms | — | 100.00% | — | 8 |
| scaledown/classify | 3797 ms | — | 100.00% | — | 6 |
ScaleDown performance history · Full provider & model leaderboard.
Models served by ScaleDown.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Input | Cached input | Output |
|---|---|---|---|---|---|
scaledown/classifyScaleDown Classify |
— | 1,000,000 | $0.05275/1M | Not published | $0/1M |
scaledown/compressScaleDown Compress |
— | 1,000,000 | $0.05275/1M | Not published | $0/1M |
scaledown/extractScaleDown Extract |
— | 1,000,000 | $0.05275/1M | Not published | $0/1M |
scaledown/summarizeScaleDown Summarize |
— | 1,000,000 | $0.05275/1M | Not published | $0/1M |
Questions
Does ScaleDown have zero data retention?
TrustedRouter records ScaleDown as supporting provider-level zero data retention based on the policy source linked on this page. This is a provider policy claim, separate from TrustedRouter's content-stateless real-time gateway and from end-to-end confidential compute.
Is ScaleDown end-to-end encrypted?
TrustedRouter does not currently mark ScaleDown as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.
Which ScaleDown models are available through TrustedRouter?
This page currently lists 4 public ScaleDown models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.