Head to head · Decision models · October 2026 research run

Decider vs Microsoft-Decision-1

Decider scores 69.5 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 6 of 7 scored categories. Microsoft-Decision-1 leads on security & auth. Both do decision models. Microsoft-Decision-1 is cheaper for decision models, $0 against $0 per 1M tokens.

Best decision models for AI agents · All 91 decisions comparisons

Which one, for what

Decider B

Best for Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.

Ahead on

  • Reliability, 90 against 30
  • Schema & documentation, 78 against 43
  • Agent ergonomics, 80 against 50
  • Payments & pricing, 60 against 20
  • Maintenance & community, 87 against 40
  • Transparency & trust, 46 against 32

Also in its favour

  • No key needed to call it
  • Open source

Watch for

The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1

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

  • Security & auth, 52 against 38

Also in its favour

  • Cheaper for decision models, $0 against $0 per 1M tokens

Watch for

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

Score by category

CategoryWeight this runDeciderMicrosoft-Decision-1Edge
Reliability16%209030Decider +60
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27843Decider +35
Agent ergonomics13%16.28050Decider +30
Security & auth14%17.53852Microsoft-Decision-1 +14
Payments & pricing10%12.56020Decider +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88740Decider +47
Transparency & trust7%8.84632Decider +14
Negative events≤1500
TotalB 69.5/100E 39/100

Facts side by side

FactDeciderMicrosoft-Decision-1
KindModel APIModel API
VendorMark Marosi (Mapika)Microsoft
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneOAuth or key
PricingFreePay per use
Price for decision modelsfreefree
x402nono
LicenceApache-2.0 (code and weights)Not stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found.
Read-only variant documentednono
llms.txtnono
Last release2026-10-072026-10-09
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity1.1k stars, 2.7k PyPI/wknone

Verdicts

Decider

An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.

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.

Before you call either

Decider

  1. Pin weights by Hub tag (v10, v2) when results must repeat. The main branch of each model repository changes with new versions
  2. Read x_p_max for the top probability. Since 1.3.0 confidence on choice and score answers follows TypeSafe's rescaled definition, not the top probability
  3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option
  4. Count state tokens before sending. Over 32,768 the state is cut silently, and /decide caps context at 1,536 tokens
  5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail

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

Questions

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

Decider scores 69.5 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 6 of 7 scored categories. Microsoft-Decision-1 leads on security & auth.

Which is cheaper for decision models, Decider or Microsoft-Decision-1?

Decider, at free against free for Microsoft-Decision-1. These are the vendors' published prices for the job.

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

Decider needs no key. Microsoft-Decision-1 takes an API key or an OAuth sign-in.

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

No hosted endpoint is listed for Decider. No hosted endpoint is listed for Microsoft-Decision-1.

Are Decider and Microsoft-Decision-1 open source?

Decider is open source (Apache-2.0 (code and weights)). No open-source release is listed for Microsoft-Decision-1.

Other comparisons with Decider or Microsoft-Decision-1

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