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Perplexity Pro vs. ChatGPT Plus Which GenAI you should sign up

PCQuest

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August 2025

Two GenAl giants. One decision. Is Perplexity Pro your truth-telling research ninja or is ChatGPT Plus your poetic, code-crunching sidekick? We compared them, wrestled FOMO, and spilled all the digital tea. The choice? It's more personal than techy

- Shrikanth Govindarajan

Perplexity Pro vs. ChatGPT Plus Which GenAI you should sign up

If you are one of those GenAl users, itching to sign up for paid plans and not sure whether to take a plunge or not, you are not alone, the first question everyone asks is: Is it worth it? ChatGPT Plus costs about $20 (approx. Rs 1,800+), while Perplexity Pro costs Rs 17,000 annually, and for Airtel users it's free for a year.

Here's the question you might be asking: Should I take the free bait offered by Perplexity and Airtel? Why not, it's free and very powerful with diverse models for basic to complicated tasks. I have been using Perplexity Pro for a week, and it offers a completely new perspective in terms of research tasks that involve multiple iterations of sources.

I signed up for ChatGPT Plus a couple of months back, and it's a workhorse. Rarely does it fail you, and I have access to some of the best models. ChatGPT Plus offers me access to deep research capabilities, multiple reasoning models including 04-mini, 04-mini-high, and 03, and a research preview of GPT-4.5. Now I can create and use tasks, manage projects, and build custom GPTs tailored to specific needs. The plan also includes limited access to Sora video generation and opportunities to test new features as they become available. It is indeed your go-to digital teammate.

Perplexity Pro or ChatGPT Plus: Why you need a paid plan, is free tier enough?

This is the common question we often hear. And the very simple answer is, it depends on what outcomes you are expecting out of GenAl tools and how it impacts your profession. For those who want extended outcomes, paid is a must, you get almost unrestricted access to all models and deeper outcomes as you can leverage powerful, more modern models.

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