Head to head · Decision models · October 2026 research run

Celeris-1 Decision vs Microsoft-Decision-1

Celeris-1 Decision scores 49.3 (D) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 4 of 7 scored categories. Microsoft-Decision-1 leads on security & auth. Both do decision models. Celeris-1 Decision 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

Celeris-1 Decision D

Best for Multimodal classification, routing and bounded decisions with probabilities and optional explanations

Ahead on

  • Reliability, 40 against 30
  • Schema & documentation, 60 against 43
  • Agent ergonomics, 80 against 50
  • Transparency & trust, 53 against 32

Also in its favour

  • Cheaper for decision models, $0 against $0 per 1M tokens
  • A hosted endpoint, with nothing to install

Watch for

Early-access terms and capacity-dependent workspace activation

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 45

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 runCeleris-1 DecisionMicrosoft-Decision-1Edge
Reliability16%204030Celeris-1 Decision +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26043Celeris-1 Decision +17
Agent ergonomics13%16.28050Celeris-1 Decision +30
Security & auth14%17.54552Microsoft-Decision-1 +7
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84040even
Transparency & trust7%8.85332Celeris-1 Decision +21
Negative events≤1500
TotalD 49.3/100E 39/100

Facts side by side

FactCeleris-1 DecisionMicrosoft-Decision-1
KindModel APIModel API
VendorCeleris (Marqo Inc)Microsoft
Hosted endpointhttps://inference.celeris.ai/celeris-1-decision/v1/systemoneno (local only)
TransportsHTTPHTTP
AuthAPI keyOAuth or key
PricingPay per usePay per use
Price for decision modelsfreefree
x402nono
LicenceProprietary hosted model under Celeris terms of serviceNot stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found.
Read-only variant documentednono
llms.txtyesno
Last release2026-10-082026-10-09
Terms last updated2026-09-08no document linked
Privacy policy last updated2026-07-23
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text

Verdicts

Celeris-1 Decision

Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.

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

Celeris-1 Decision

  1. Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.
  2. Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.
  3. Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.
  4. Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.
  5. Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption.

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, Celeris-1 Decision or Microsoft-Decision-1?

Celeris-1 Decision scores 49.3 (D) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 4 of 7 scored categories. Microsoft-Decision-1 leads on security & auth.

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

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

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

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

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

Celeris-1 Decision has a hosted endpoint at https://inference.celeris.ai/celeris-1-decision/v1/systemone. No hosted endpoint is listed for Microsoft-Decision-1.

Other comparisons with Celeris-1 Decision or Microsoft-Decision-1

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