Head to head · Decision models · October 2026 research run

Microsoft-Decision-1 vs ScaleDown

ScaleDown scores 48.6 (D) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 5 of 7 scored categories. Microsoft-Decision-1 leads on reliability. Both do decision models.

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Which one, for what

Microsoft-Decision-1 E

Best for Routing, classification, prioritisation and rubric checks over text, where a fixed set of options and a low price per token matter more than generated text.

Ahead on

  • Reliability, 30 against 20

Watch for

Public preview only. Microsoft's post gives no general availability date and states no licence for the hosted model

ScaleDown D

Best for Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.

Ahead on

  • Schema & documentation, 69 against 43
  • Agent ergonomics, 76 against 50
  • Payments & pricing, 40 against 20
  • Maintenance & community, 56 against 40
  • Transparency & trust, 54 against 29

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

No status page, no published rate limits and no SLA outside enterprise contracts

Score by category

CategoryWeight this runMicrosoft-Decision-1ScaleDownEdge
Reliability16%203020Microsoft-Decision-1 +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24369ScaleDown +26
Agent ergonomics13%16.25076ScaleDown +26
Security & auth14%17.55248Microsoft-Decision-1 +4
Payments & pricing10%12.52040ScaleDown +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84056ScaleDown +16
Transparency & trust7%8.82954ScaleDown +25
Negative events≤150-2
TotalE 38.8/100D 48.6/100

Facts side by side

FactMicrosoft-Decision-1ScaleDown
KindModel APIModel API
VendorMicrosoftCarbon ScaleDown, Inc.
Hosted endpointno (local only)https://api.scaledown.xyz
TransportsHTTPHTTP
AuthOAuth or keyAPI key
PricingPay per usePay per use
Price for decision modelsfreenot published
x402nono
LicenceNot stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found.Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-092026-10-14
Terms last updatedno document linkedcouldn't be read
Privacy policy last updatedno date givencouldn't be read
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularitynone0 stars

Verdicts

Microsoft-Decision-1

Microsoft publishes $0.042 per million input tokens, with output free, and the model is callable through Microsoft Foundry and OpenRouter. It is in public preview. No licence, model-specific retention statement, rate limit or deprecation policy was found, and the Foundry route needs an Azure deployment and an Entra token. Latency and accuracy figures are Microsoft's claims.

ScaleDown

Classify answers Jev-shaped choice, noul and score questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.

Before you call either

Microsoft-Decision-1

  1. Use OpenRouter's Decisions method, not an OpenAI chat-completions SDK. OpenRouter says chat completions SDKs will not work with this model
  2. On Foundry, send the request to the deployment's /providers/microsoft/v1/systemone path with a Microsoft Entra token for https://cognitiveservices.azure.com/.default, not an API key
  3. Take the deployment name from the Foundry quickstart before the first call. Microsoft says to confirm the route and authentication header, and the pages reviewed do not give the name
  4. Keep each request within OpenRouter's 32,768-token context and send only fixed options, since the model is not intended for open-ended generation
  5. Measure latency and calibration on your own labelled cases before relying on Microsoft's latency and 'nine times out of 10' statements

ScaleDown

  1. Send several questions about one item in one /v1/scaledown call. Each becomes its own Classify call and the usage is summed
  2. Pin classify-1, extract-1 or summarize-1 once you've tuned thresholds on your own labelled cases
  3. Set context_chars to 0 and use top_n on Extract unless you need the 500 characters of context each side
  4. Set reasoning: false on /classify when you only need the label. The reasoning call bills its input at 2x
  5. Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects

Questions

Which is better for AI agents, Microsoft-Decision-1 or ScaleDown?

ScaleDown scores 48.6 (D) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 5 of 7 scored categories. Microsoft-Decision-1 leads on reliability.

Do Microsoft-Decision-1 and ScaleDown need an API key?

Microsoft-Decision-1 takes an API key or an OAuth sign-in. ScaleDown needs an API key.

Can an agent call Microsoft-Decision-1 and ScaleDown without installing anything?

No hosted endpoint is listed for Microsoft-Decision-1. ScaleDown has a hosted endpoint at https://api.scaledown.xyz.

Other comparisons with Microsoft-Decision-1 or ScaleDown

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