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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Perplexity Decider is a sophisticated decision model with 27 billion parameters, derived from Qwen3.8-27B, specifically tailored for structured classification and multimodal decision-making tasks. Instead of producing freeform text, it processes an input state along with a specified decision schema to deliver the chosen outcome along with calibrated probabilities. The model is adept at making choice decisions from a set of predefined categories, as well as noul decisions that evaluate the likelihood of a yes-or-no answer. Furthermore, it is capable of processing images in conjunction with text, enabling it to make informed decisions based on visual data such as screenshots. Typical applications include directing support inquiries to appropriate teams like billing, technical support, or sales, and assessing whether a communication conveys a sense of urgency. Perplexity Decider boasts an impressive overall accuracy rate of 85.71% across 11 distinct benchmarks, such as FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary, showcasing its versatility and effectiveness in various decision-making scenarios. This high level of accuracy underscores the model's potential to enhance automated systems requiring nuanced interpretation of both text and images.

Description

SubQ Snap is a sophisticated decision-making model designed for both enterprise and agentic workflows, enabling rapid, structured decisions across extensive datasets. It effectively manages various tasks, including identifying relevant files, choosing the appropriate tool, verifying result validity, assessing whether to proceed with a workflow, and determining the necessity of a frontier model. Unlike traditional text generators, Snap operates by taking into account specific context, a posed question, and a limited range of possible answers to produce a probability distribution for those responses. It can process up to 384K tokens, integrating diverse forms of information such as codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned documents within a single query. Utilizing Subquadratic Sparse Attention technology, Snap significantly diminishes the resources needed to analyze lengthy inputs, while its decision head adeptly correlates contextual representations to permissible answers without relying on autoregressive text generation. This innovative approach enhances efficiency and accuracy in decision-making processes across various applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Perplexity Decisions API Yes 
Qwen3.8-27B Yes 

Integrations

Perplexity Decisions API No 
Qwen3.8-27B No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0.05 per million input tokens
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Perplexity

Founded

2022

Country

United States

Website

huggingface.co/perplexity-ai/pplx-decider-v1-27b

Vendor Details

Company Name

Subquadratic

Founded

2024

Country

United States

Website

subq.ai/introducing-subq-snap

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