# decision-1 — API, Pricing & Context Window | Vivgrid

> Source: https://vivgrid.com/docs/models/decision-1

decision-1 on Vivgrid: Microsoft-Decision-1, Microsoft's decision model that returns predefined answers with confidence scores instead of generated text, with a 32K-token request window and geo-distributed acceleration.

`decision-1` is **Microsoft-Decision-1**, Microsoft's model for decision and classification workloads, and it does not write open-ended text. You send it the current `state` plus the `questions` you need answered, and it returns predefined answers with a confidence signal for each — so your application can act on confident answers and route uncertain ones for further review.

Microsoft post-trained it from Qwen3.5-9B for fast, single-pass decision scoring and released it in public preview on Microsoft Foundry on October 9, 2026. It is meant for simple, repeatable, time-sensitive decisions — agent controls, model routing, intent analysis, data labeling, AI judging — that don't need the generative capabilities or extended reasoning of a larger language model. Microsoft reports its median (P50) latency as about 35× faster than GPT-6 Sol.

On Vivgrid, `decision-1` is served on the `/systemone` API with the same `state` + `questions` request shape as [jev-latest](/docs/models/jev-latest), with geo-distributed acceleration across AMER, EMEA, and APAC. Output tokens are free.

## Specifications

| Field | Value |
| --- | --- |
| Provider | Microsoft |
| Model ID | `decision-1` |
| Best for | Decision |
| Available on | Decisions |
| Context window | 32,768 tokens |
| Modalities | Text |
| Tool / function calling | No |
| Knowledge cutoff | — |
| Acceleration | Geo-distributed — AMER, EMEA, APAC |

## Pricing

Pricing in USD per 1M tokens.

| Input | Cached input | Output |
| --- | --- | --- |
| $0.084 | — | $0.00 |


## Question types

- **Yes/no** — whether a statement about the state is true
- **Multiple choice** — pick one option from a fixed set
- **Rating** — place the state on an ordered scale
- **Rubric grading** — judge an AI response or an agent action against your criteria

A single request may carry several questions; on Vivgrid the whole request must fit in 32K tokens.

## API surfaces

The Vivgrid Console catalogs `decision-1` on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.

| Surface | Primary endpoint | Use it for |
| --- | --- | --- |
| Decisions | `/systemone` | Structured decision calls that return scores and choices instead of prose. |

## Quick start

Get an API key from the Vivgrid Console (https://console.vivgrid.com), then call `decision-1` directly.

```bash
curl https://api.vivgrid.com/v1/systemone \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "decision-1",
    "state": "The website has been down for 2 hours and customers cannot complete purchases.",
    "questions": {
      "routing": {
        "type": "choice",
        "instructions": "Which team should handle this?",
        "criteria": {
          "billing": "Payments, invoicing, refunds",
          "technical": "Bugs, outages, integrations",
          "sales": "Pricing, upgrades, new accounts"
        }
      },
      "severity": {
        "type": "score",
        "instructions": "How severe is this issue?",
        "criteria": ["Minor", "Moderate", "Critical"]
      }
    }
  }'
```


## Ideal use cases

- Agent controls and model routing between steps of a pipeline
- Intent analysis and incident-response routing
- AI judging: grading model output or agent actions against a rubric
- High-volume data labeling, data validation, and content classification

## Related models

- [jev-latest](/docs/models/jev-latest) — TypeSafe's System One decision model on the same `/systemone` API
- [gemini-3.8-flash](/docs/models/gemini-3.8-flash) — a fast general-purpose model when you need generated text
- [glm-5.3-flash](/docs/models/glm-5.3-flash) — low-cost chat completions for lightweight classification