Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Decisions API is designed to transform both text and images into structured decisions that applications can utilize, processing inputs approximately ten times faster than the Responses API. Developers must provide a model along with shared input evidence and one or more questions that outline the evaluation criteria, after which the API delivers organized answers suitable for tasks like content classification, request routing, work prioritization, or making decisions based on defined thresholds. It accommodates three types of questions: predicate, which assesses whether a condition holds true and yields a probability ranging from 0 to 1; choice, which chooses a single value from a predetermined set and provides the associated probabilities and confidence levels; and score, which measures an input against a set of ordered rubric levels to return a probability-weighted score. The system is versatile in that it can process inputs as plain text or as user messages that include both text and images, making it effective for evaluating various scenarios such as identifying visible product damage, determining request intent, classifying document types, assessing issue severity, or evaluating answer relevance. This capability empowers developers to create more responsive and intelligent applications tailored to user needs.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
GPT-6 Luna
Yes
OpenAI
Yes
Perplexity Decisions API
No
Qwen3.8-27B
No
Integrations
GPT-6 Luna
No
OpenAI
No
Perplexity Decisions API
Yes
Qwen3.8-27B
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
OpenAI
Founded
2015
Country
United States
Website
developers.openai.com/api/docs/guides/decisions
Vendor Details
Company Name
Perplexity
Founded
2022
Country
United States
Website
huggingface.co/perplexity-ai/pplx-decider-v1-27b