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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 Clef-flash?

Clef-flash is an advanced 9B multimodal decision-making framework designed to transform a given state and a structured set of inquiries into coherent decisions. It proficiently analyzes state data presented in various forms, including text, JSON, images, and video, offering a probability for each potential option related to the questions asked. With a context window accommodating up to 24,576 tokens, it can effortlessly process visual inputs, allowing developers to examine structured application data alongside visual elements in a unified manner. The model supports three distinct types of inquiries: "noul," which estimates the probability of a proposition's correctness; "choice," which allows users to select from a predefined list of alternatives, each with assigned probabilities; and "score," which evaluates inputs against a ranked set of criteria to produce a weighted probability score. Developers can submit between 1 and 64 questions in a single API request, with each response directly tied to its corresponding question ID. Its versatility makes it applicable for various scenarios, such as determining the urgency of support requests, routing them to the appropriate teams, and assessing customer impact severity, ultimately fostering enhanced operational efficiency in decision-making. By leveraging this model, organizations can refine their response strategies, optimize workflows, and significantly improve overall productivity in their operational processes.

Media

Media

Integrations Supported

OpenAI

Integrations Supported

Markdown
Python
TypeScript

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

Pricing not provided

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

Cloudflare

Date Founded

2009

Company Location

United States

Company Website

developers.cloudflare.com/workers-ai/models/clef-flash/

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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