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What is Perplexity Decider?

Perplexity Decider represents an advanced decision-making model featuring 27 billion parameters, evolved from Qwen3.8-27B, and is designed specifically for structured classification and multimodal decision-making tasks. Rather than generating freeform text, it evaluates an input state alongside a predefined decision schema to present the selected outcome along with calibrated probabilities. This model excels in making choice decisions from established categories and also handles noul decisions, assessing the probability of a yes-or-no answer. Additionally, it can analyze images in combination with text, allowing it to make well-informed decisions based on visual inputs such as screenshots. Common use cases involve routing support requests to the correct departments, like billing, technical support, or sales, and determining whether a message conveys urgency. With an overall accuracy rate of 85.71% across 11 diverse benchmarks, including FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary, Perplexity Decider illustrates remarkable versatility and effectiveness in various decision-making environments. This significant accuracy level not only highlights the model's capabilities but also points to its potential for improving automated systems that require a nuanced understanding of both text and images, paving the way for future advancements in decision-making technologies.

What is Gemini Decision 1?

Gemini Decision 1 is a purpose-built artificial intelligence model developed by Google to support automated decision-making, classification, and evaluation within software systems. Rather than functioning as a conventional AI chatbot, the model examines supplied information and returns structured predictions based on questions defined by the developer. Its supported decision types include Boolean evaluations, multiple-choice classifications, and numerical scoring against predefined criteria. The system provides probability distributions and confidence information that applications can use to determine how strongly the available evidence supports a particular outcome. With a context capacity of approximately 262,000 tokens, Gemini Decision 1 can analyze extensive documents, records, and other contextual inputs. Developers can implement the model for use cases such as customer service ticket routing, content moderation, document classification, lead qualification, and automated quality assessments. It can also serve as a decision component within AI agent architectures by evaluating task conditions and selecting appropriate actions from predefined choices. The model supports integration through API-based development workflows, including access through Vercel AI Gateway. Its specialized output format allows applications to process model predictions programmatically without extracting decisions from lengthy generated explanations. By combining large-context analysis with probabilistic classification and scoring, Gemini Decision 1 enables organizations to incorporate structured AI evaluations into business processes and intelligent applications.

Media

Media

Integrations Supported

Perplexity Decisions API
Qwen3.8-27B

Integrations Supported

Gemini
Gemini platform
Google AI Studio
Google Cloud Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.10 per 1M tokens (input)
$0.10 per 1 million tokens (input), no charge for output tokens
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Perplexity

Date Founded

2022

Company Location

United States

Company Website

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

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

aistudio.google.com/docs/models/gemini-decision-1

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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