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What is Solar Decide?

Solar Decide serves as Upstage's decision-making framework, functioning as a System One endpoint on Solar Mini 4. Instead of generating text, it evaluates a specific state alongside one or more designated questions to produce a selection, score, or a binary yes/no answer, complete with calibrated probabilities that stem from the model itself. Each question is processed in a single forward pass, which significantly boosts the model's efficiency for various tasks, including quick classification, routing, policy validation, prioritization, and other structured decision-making processes. Users can opt for a choice type that allows them to pick from a list of predefined alternatives, yielding not only the selected option but also the related probabilities and levels of confidence. On the other hand, the score type assesses an input based on particular ranked criteria, delivering a probability-weighted score along with an explanatory legend, probability distribution, and metrics of confidence. Moreover, the noul type evaluates the probability that a yes-or-no statement is correct. Users can also pose multiple questions regarding the same state in a single request, where the state can be presented as plain text or formatted as any JSON value for the prompt. This adaptability makes Solar Decide an invaluable resource for effectively navigating intricate decision-making scenarios, ultimately enhancing the decision-making process across various contexts.

What is Microsoft-Decision-1?

Microsoft-Decision-1 is a highly effective decision-scoring model specifically designed for structured outputs, allowing software systems to take swift actions. This innovative model supports a range of functionalities including routing, classification, prioritization, verification, and workflow management, applicable across various applications, agents, and automated systems. Developed through post-training of Qwen3.5-9B, it excels in single-pass decision scoring and delivers calibrated probabilities for a defined set of response choices. The model is adept at addressing yes/no inquiries, multiple-choice situations, rating scales, and rubric-based assessments of AI-generated outputs and agent performances via a structured API. Comprehensive evaluations carried out by Microsoft across 36 benchmarks covering routing, ranking, long-context understanding, multilingual functions, and tasks outside conventional distributions demonstrate that it achieved top accuracy levels with impressively low latency. Additionally, the model places a strong emphasis on robustness, with extensive testing conducted to ensure decision-making stability even when prompts undergo rephrasing or modifications. This commitment to stability highlights its potential for delivering reliable performance in diverse real-world scenarios, making it a versatile tool for various industries.

Media

Media

Integrations Supported

Claude Code
Hermes Agent
JSON
Markdown
OpenAI Codex

Integrations Supported

Microsoft Foundry
OpenRouter
Qwen3.5

API Availability

Has API

API Availability

Has API

Pricing Information

$0.1 per 1M tokens

Pricing Information

$0.042 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Upstage

Date Founded

2020

Company Location

United States

Company Website

console.upstage.ai/docs/models/solar-decide

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

commandline.microsoft.com/microsoft-decision-1-model-foundry/

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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