Perplexity Models on Magicdoor
Perplexity on Magicdoor
Magicdoor currently lists two Perplexity-backed research models:
- Perplexity Reasoning
- Deep Research (pplx)
These are the models to use when the task depends on current web information or source-backed research.
Perplexity Reasoning
Use it for:
- quick fact-checks
- current events
- recent company or product information
- sourced answers when you do not need a long report
Deep Research (pplx)
Use it for:
- broader research projects
- multi-source investigations
- report-style output
- tasks where the extra research depth is worth the extra cost
How it fits into Magicdoor
You can use Perplexity directly, or let Magicdoor route search-heavy tasks through Perplexity while keeping the rest of the conversation in the same workflow.
That means a common pattern is:
- gather current information with Perplexity
- switch to Claude, GPT-5.5, or another chat model for synthesis, writing, or decision-making
Pricing
Perplexity models have token pricing plus an additional web-search request fee. See model cost for the current numbers.
Related Resources
AI Answer Visibility Audit: How to Check If AI Mentions Your Brand
A practical workflow for testing whether ChatGPT-style, Claude, Gemini, Grok, and Perplexity answers mention your brand, and what to do when results disagree.
Claude Sonnet 4.6 with Image Generation and Web Search
Discover the limitations of Claude Sonnet 4.6 and learn how Magicdoor overcomes these challenges by integrating Claude, Perplexity, and image generation.
How to Use Perplexity for Research on magicdoor.ai
Step-by-step workflows for using Perplexity Reasoning and Deep Research on magicdoor.ai, including web search with citations, fact-checking, and multi-source investigations
Cost Analysis: Magicdoor vs Stacked AI Subscriptions
Compare magicdoor.ai pricing with a stack of ChatGPT, Claude, Perplexity, and image-tool subscriptions, including when pay-as-you-go wins and when it does not.