Average Ratings 0 Ratings
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
Qwen3.5-Plus is an advanced multimodal foundation model engineered to deliver efficient large-context reasoning across text, image, and video inputs. Powered by a hybrid architecture that merges linear attention mechanisms with a sparse mixture-of-experts framework, the model achieves state-of-the-art performance while reducing computational overhead. It supports deep thinking mode, enabling extended reasoning chains of up to 80K tokens and total context windows of up to 1 million tokens. Developers can leverage features such as structured output generation, function calling, web search, and integrated code interpretation to build intelligent agent workflows. The model is optimized for high throughput, supporting large token-per-minute limits and robust rate limits for enterprise-scale applications. Qwen3.5-Plus also includes explicit caching options to reduce costs during repeated inference tasks. With tiered pricing based on input and output tokens, organizations can scale usage predictably. OpenAI-compatible API endpoints make integration straightforward across existing AI stacks and developer tools. Designed for demanding applications, Qwen3.5-Plus excels in long-document analysis, multimodal reasoning, and advanced AI agent development.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Alibaba AI Coding Plan
No
Alibaba Cloud Model Studio
No
OpenClaw
No
Perplexity Decisions API
Yes
Qwen3.5
No
Qwen3.8-27B
Yes
Shiori
No
Tabbit Browser
No
Integrations
Alibaba AI Coding Plan
Yes
Alibaba Cloud Model Studio
Yes
OpenClaw
Yes
Perplexity Decisions API
No
Qwen3.5
Yes
Qwen3.8-27B
No
Shiori
Yes
Tabbit Browser
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Output: $2.4 per 1M tokens
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
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
No
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
Alibaba
Founded
1999
Country
China
Website
qwen.ai