Perplexity DeciderPerplexity
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Qwen3.5-PlusAlibaba
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Related Products
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About
Perplexity Decider is a 27B decision model fine-tuned from Qwen3.8-27B for structured classification and multimodal decision tasks. Rather than generating unrestricted text, it takes an input state and a typed decision schema, then returns the selected result together with calibrated probabilities. The model supports choice decisions for selecting among predefined categories and noul decisions for estimating the probability of a yes-or-no condition. It can also accept images alongside text, allowing applications to make decisions from screenshots or other visual inputs. Example workflows include routing a support request to billing, technical support, or sales, and estimating whether a message expresses urgency. Perplexity reports an overall accuracy of 85.71% across 11 benchmarks, including FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary.
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About
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Teams and developers wanting to self-host structured classification, routing, and multimodal decision workflows with calibrated probabilities
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Audience
AI developers, enterprise engineering teams, and organizations building large-scale multimodal applications, long-context reasoning systems, and tool-enabled AI agents
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationPerplexity
Founded: 2022
United States
huggingface.co/perplexity-ai/pplx-decider-v1-27b
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Company InformationAlibaba
Founded: 1999
China
qwen.ai
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Alibaba AI Coding Plan
Not Supported
Alibaba Cloud Model Studio
Not Supported
OpenClaw
Not Supported
Perplexity Decisions API
Supported
Qwen3.5
Not Supported
Qwen3.8-27B
Supported
Shiori
Not Supported
Tabbit Browser
Not Supported
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Integrations
Alibaba AI Coding Plan
Supported
Alibaba Cloud Model Studio
Supported
OpenClaw
Supported
Perplexity Decisions API
Not Supported
Qwen3.5
Supported
Qwen3.8-27B
Not Supported
Shiori
Supported
Tabbit Browser
Supported
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