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Average Ratings 0 Ratings
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
Perplexity's Decisions API is designed for rapid and structured decision-making that can be directly utilized by software applications. Rather than producing unstructured free-form text, it interprets various inputs such as natural-language text, JSON, or images as a shared context and delivers typed responses accompanied by probabilities. Developers have the flexibility to append multiple named questions to a single input, selecting from three distinct question types. The "noul" type provides yes-or-no evaluations, offering the probability of a "yes" response ranging from 0 to 1. The "choice" type allows developers to specify options and returns the most probable selection, along with the probabilities for each option and a confidence measure. Meanwhile, the "score" type assesses content based on a predetermined rubric, delivering a probability-weighted score, the complete probability distribution, and a confidence level. This API is particularly suited for various applications including classification, routing, rubric-based grading, severity assessments, sentiment analysis, and any decision-making process that can be evaluated against a certain threshold, making it a versatile tool for developers. Additionally, its structured approach enhances the reliability of the decisions made by the software, ensuring that outcomes are both accurate and consistent.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
JSON
No
OpenAI
No
Perplexity Decider
No
Perplexity Decisions API
Yes
Python
No
Qwen3.8-27B
Yes
TypeScript
No
Integrations
JSON
Yes
OpenAI
Yes
Perplexity Decider
Yes
Perplexity Decisions API
No
Python
Yes
Qwen3.8-27B
No
TypeScript
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Perplexity
Founded
2022
Country
United States
Website
docs.perplexity.ai/docs/decisions/quickstart