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What is SubQ Snap 1.1?

SubQ Snap is an all-encompassing hosted multimodal decision-making framework designed for developers focused on building AI agents and enterprise workflows. By leveraging Subquadratic’s API, applications are able to send both text and image data along with targeted inquiries, resulting in structured responses that may feature labels, options, scores, and probabilities. This capability supports a multitude of tasks, including tool and file selection, decision routing, information triage, implementation of guardrails, item ranking, data classification, and validation of tests or results against established criteria. The system is adept at processing as many as 384K tokens of context while also handling image inputs, making it distinctly suited for making limited decisions rather than producing open-ended text, thus serving as a valuable enhancement to language models employed for planning or content generation. Additionally, the public-preview API documentation offers comprehensive examples of requests, guidance on how to access the model, and various decision formats available for user utilization. This innovative framework not only simplifies the decision-making process for developers but also significantly boosts the operational efficiency of AI-driven applications, paving the way for more effective workflows. By integrating visual and textual data effectively, SubQ Snap positions itself as a pivotal tool in the evolving landscape of AI technologies.

What is Liquid d1?

d1 is the first decision model introduced by Liquid AI, which offers answers to structured questions about a given situation by utilizing probabilities rather than generating text responses. This innovative model efficiently processes unstructured data, such as textual and visual inputs, along with one or more inquiries in a single, cohesive forward pass, yielding probabilities without producing traditional output tokens. It supports three specific question formats: noul for simple yes-or-no choices, choice for selecting from a set of labels with their corresponding probabilities, and score for evaluating inputs on a ranked scale using probability metrics. Additionally, d1 is capable of processing multiple questions at once within a single query, thereby boosting its effectiveness in real-time decision-making scenarios. Liquid AI demonstrates the versatility of d1 across various applications, including the filtering of support tickets, exploring code repositories, intelligently categorizing documents into folders, managing websites, summarizing agent context, inspecting industrial parts, and even participating in games based on screenshots. This wide array of applications showcases not only the model's adaptability but also its potential to transform decision-making processes across different industries, emphasizing a notable leap forward in the realm of decision-making technologies.

Media

Media

Integrations Supported

OpenAI

Integrations Supported

Claude Opus 5.5
GPT-6.1 Astra
GPT-6.1 Sol
GPT-6.1 Terra
Hugging Face
OpenRouter
Vercel

API Availability

Has API

API Availability

Has API

Pricing Information

$0.05/1M input tokens
$0.05 per 1 million input tokens; output tokens are free. SubQ Snap is in public preview, with access subject to capacity limits.

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Subquadratic

Date Founded

2025

Company Location

United States

Company Website

subq.ai/

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/d1-decision-model

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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