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microsoft-decision-1

Microsoft/Proprietary/1 provider

Microsoft-Decision-1 is a small decision model post trained from Qwen3.5-9B. Instead of generating text it reads the provided state and returns a calibrated probability for each fixed answer option, for classification, routing, prioritization, verification, agent guardrails and AI judging.More

Which id to call

azure/decision-1

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.04

Microsoft Azure AI

Context

33K

1K output

Endpoints

3

3 regions

Regions

3

chat

Capabilities 0/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

3 endpoints / 3 regions

Providers serving microsoft-decision-1

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving microsoft-decision-1, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Microsoft Azure AIUS33K$0.04freefreezdr
2Microsoft Azure AIfrancecentral33K$0.04freefreezdr
3Microsoft Azure AIswedencentral33K$0.04freefreezdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

azure/decision-1

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="azure/decision-1", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

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More from Microsoft

Reference

microsoft-decision-1 questions

Which providers serve microsoft-decision-1?

microsoft-decision-1 is available from 1 provider through Requesty: Microsoft Azure AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does microsoft-decision-1 cost?

Pricing starts at $0.04 per million input tokens and free per million output tokens on Microsoft Azure AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is microsoft-decision-1 open weights?

No. microsoft-decision-1 is a proprietary model from Microsoft, served through Microsoft's own API and licensed cloud platforms.

What is the context window of microsoft-decision-1?

microsoft-decision-1 supports up to 33K tokens of context, with up to 1K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use microsoft-decision-1 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "azure/decision-1" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route microsoft-decision-1 through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

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