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
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
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
| Category | Weight this run | Microsoft-Decision-1 | ScaleDown | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 30 | 20 | Microsoft-Decision-1 +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 43 | 69 | ScaleDown +26 |
| Agent ergonomics | 13%16.2 | 50 | 76 | ScaleDown +26 |
| Security & auth | 14%17.5 | 52 | 48 | Microsoft-Decision-1 +4 |
| Payments & pricing | 10%12.5 | 20 | 40 | ScaleDown +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 40 | 56 | ScaleDown +16 |
| Transparency & trust | 7%8.8 | 29 | 54 | ScaleDown +25 |
| Negative events | ≤15 | 0 | -2 | |
| Total | E 38.8/100 | D 48.6/100 |
Facts side by side
| Fact | Microsoft-Decision-1 | ScaleDown |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Microsoft | Carbon ScaleDown, Inc. |
| Hosted endpoint | no (local only) | https://api.scaledown.xyz |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Pay per use |
| Price for decision models | free | not published |
| x402 | no | no |
| Licence | Not 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 documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-09 | 2026-10-14 |
| Terms last updated | no document linked | couldn't be read |
| Privacy policy last updated | no date given | couldn't be read |
| Customer content may train models | couldn't be read | |
| Terms restrict automated access | couldn't be read | |
| Terms restrict benchmarking | couldn't be read | |
| Terms or service can change without notice | couldn't be read | |
| Arbitration or class-action waiver | couldn't be read | |
| Popularity | none | 0 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
- Use OpenRouter's Decisions method, not an OpenAI chat-completions SDK. OpenRouter says chat completions SDKs will not work with this model
- 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
- 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
- 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
- Measure latency and calibration on your own labelled cases before relying on Microsoft's latency and 'nine times out of 10' statements
ScaleDown
- Send several questions about one item in one
/v1/scaledowncall. Each becomes its own Classify call and the usage is summed - Pin
classify-1,extract-1orsummarize-1once you've tuned thresholds on your own labelled cases - Set
context_charsto 0 and usetop_non Extract unless you need the 500 characters of context each side - Set
reasoning: falseon /classify when you only need the label. The reasoning call bills its input at 2x - 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
- Celeris-1 Decision vs Microsoft-Decision-1
- Celeris-1 Decision vs ScaleDown
- Clef vs Microsoft-Decision-1
- Clef vs ScaleDown
- Laya vs Microsoft-Decision-1
- Laya vs ScaleDown
- Decider vs Microsoft-Decision-1
- Decider vs ScaleDown
- Decision 3.0 vs Microsoft-Decision-1
- Decision 3.0 vs ScaleDown
- GLiClass vs Microsoft-Decision-1
- GLiClass vs ScaleDown
- Kev vs Microsoft-Decision-1
- Kev vs ScaleDown
- Liquid d1 vs Microsoft-Decision-1
- Liquid d1 vs ScaleDown
- Microsoft-Decision-1 vs Drex 1.5
- Microsoft-Decision-1 vs OpenAI Decisions API
- Microsoft-Decision-1 vs pplx-decider
- Microsoft-Decision-1 vs Strands Decider 2B
- Microsoft-Decision-1 vs Jev
- Microsoft-Decision-1 vs Vela 2.0
- Drex 1.5 vs ScaleDown
- OpenAI Decisions API vs ScaleDown
- pplx-decider vs ScaleDown
- ScaleDown vs Strands Decider 2B
- ScaleDown vs Jev
- ScaleDown vs Vela 2.0
Machine-readable
- This page as Markdown
/compare/microsoft-decision-1-vs-scaledown.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/microsoft-decision-1.json·/api/v1/tools/scaledown.json - From a terminal
anchor compare microsoft-decision-1 scaledown(the CLI) - Over MCP
compare_tools {"a": "microsoft-decision-1", "b": "scaledown"}at/mcp, no key