Requesty
Sign in

identity

proprietary
Microsoft logo

microsoft-decision-1Microsoft

from /1M in$0.04microsoft azure ai
context33K1K out
providers13 regions
endpoints33 regions
endpoints
3
regions
3
api
chat
released
October 2026

capabilities 0/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

3 / 3 regions
Providers serving microsoft-decision-1, with pricing and measured performance. Best value in each column is coloured.
#flags
1Microsoft Azure AIUS33K$0.04freefreezdr
2Microsoft Azure AIfrancecentral33K$0.04freefreezdr
3Microsoft Azure AIswedencentral33K$0.04freefreezdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Nov 2

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis

no published benchmark scores for this model

call it

model=
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

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
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)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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.

questions 5

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 the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
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.

more from microsoft 2

Other Microsoft models
modelcontextfrom /Mproviders
phi-416K$0.061
wizardlm-2-8x22b66K$0.621

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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

microsoft-decision-11 provider3 endpointsfrom $0.04 /1M inctx 33Kupdated Nov 2