Which AI tool is better? [2026]

Most AI chatbots feel the same. Sure, they use different models under the hood, but whether you’re using ChatGPT, Claude, or Gemini, the experience is pretty similar. Prompt goes in, generated AI response comes out—which is why Perplexity is so interesting.

Instead of just being another chatbot, Perplexity is billed as an alternative to traditional search engines and an all-in-one research assistant. Unlike competing AI chatbots, Perplexity is focused on real-time search results with reliable citations. And with the launch of Perplexity Computer, it now has agentic capabilities, meaning it can handle complex multi-step research—and much more—autonomously. So how does Perplexity stack up against ChatGPT, the best-funded, most widely used AI assistant in the world?

I’ve been using both apps side-by-side for a few months now, so let’s look at what sets the two tools apart. And most importantly, whether you should use Perplexity or ChatGPT.

Table of contents:

Perplexity vs. ChatGPT at a glance

Perplexity and ChatGPT are both great tools. You’ll need to read the full comparison for a proper breakdown of what they both can do, but here’s a brief overview.

ChatGPT is an all-purpose AI assistant that also searches the web

ChatGPT is the leading example of what an AI chatbot can be. Since launching in 2022, it’s been pushing the edge of what large language models (LLMs) and large multimodal models (LMMs) are capable of. It’s gone from an interesting novelty to a highly capable productivity tool in a very short time.

You can source data with ChatGPT, do analysis, and create interactive charts, all in a matter of seconds.

ChatGPT has one of the top models for coding (just behind Claude Code), with 21% of the enterprise AI coding market as of the end of 2025. Even non-coders like me can easily use ChatGPT or Codex (OpenAI’s agentic coding tool) to write and deploy apps and games.

Like most AI chatbots, ChatGPT and Perplexity can generate text, images, code, and videos. Perplexity has done an impressive job of catching up with ChatGPT recently: it now has scheduled tasks, live camera awareness on the Perplexity mobile app, multimodal capabilities including file processing, and agentic coding via Perplexity Computer (more on that shortly).

Even so, ChatGPT is still a more flexible all-around AI assistant. You can:

• Use Canvas to iterate on writing and coding projects, with version history and easy sharing

• Create custom GPTs trained on your own data, or browse a marketplace of third-party GPTs built for specific tasks

• Use ChatGPT agent to autonomously complete web-based tasks 

• Use AI across your business apps with ChatGPT Apps

So if ChatGPT is an incredibly competent jack of all trades, where does Perplexity fit in?

Perplexity is built around real-time search

While Perplexity looks and feels like a chatbot—and it can do lots of chatbot things—its main purpose is to be an “answer engine” that provides real-time answers to queries from trustworthy sources.

When it first launched in late 2022, Perplexity was unique in its ambition to combine AI with traditional web search. Now, not so much. Search is a ubiquitous AI chatbot feature, Google has its own AI Mode, and ChatGPT’s built-in search feature holds its own. But while Perplexity isn’t the only AI search game in town anymore, it still offers better results than ChatGPT.

The best way to see this is by looking at the same query in both apps. Here’s what ChatGPT gives me for “What’s the latest with the NASA rover on Mars?”

It’s searched the web and pulled content from around two dozen searches. While it’s not a bad result, the formatting is tough to read, and the sources include less-reputable publications like the New York Post and SlashGear.

There are other issues, too. While ChatGPT can usually understand from context whether you want to search the web, sometimes it doesn’t. If you’re not careful, you might think you’re getting updated information when you’re actually not because you didn’t proactively click the Search option.

Here’s what Perplexity gave me for the same prompt.

Perplexity actually uses fewer sources, but they’re more authoritative: almost everything comes from NASA or reputable scientific journals and publications. And, while this is a bit subjective, Perplexity presents its results in a way that feels more polished and “newsy” to me than ChatGPT’s emoji-filled summaries.

Perplexity’s chats assume that you want to go deeper on the original question you asked. They even provide ideas for possible follow-up questions, along with one-click Deep Research prompts.

While this is just one example, the results are the same for other factual or newsworthy prompts. Whatever you ask, Perplexity tends to give a more rounded, referenced answer—especially if you’re dealing with recent news.

If you like tinkering, you can pick the AI model Perplexity uses to produce its answers. Perplexity offers access to the latest models from OpenAI, Gemini, Claude, and Nvidia, along with Sonar, Perplexity’s in-house model.

If you don’t care about any of this and just want answers, you can also just let Perplexity automatically pick the best model for you based on your query.

Perplexity is a better research partner

ChatGPT can search the web and create deep research reports, but its usefulness for serious research is limited: it doesn’t always make it clear which facts come from which sources, and the sources it finds aren’t always authoritative.

Since Perplexity builds its answers around real-time search and citations, it has a natural edge when conducting research. But it also has a range of sourcing and synthesis features that make it more useful.

If you’re doing academic research, for example, you can use Perplexity Academic to make sure the citations that end up in your research are only from scholarly sources. Perplexity also offers domain-specific research environments for finance, patents, and travel.

For business users, Perplexity’s new Premium Sources feature lets you access data that’s normally paywalled, like Statista (market insights), PitchBook (investor data), and CB Insights (startup analysis). Buying a subscription to even one of these paywalled sources would cost hundreds or thousands of dollars per month, but with Perplexity, you can access it with a $20/month Pro subscription—you just need to run your search through Perplexity Computer.

Then there’s Model Council, available only to Max subscribers. Rather than trusting a single model to answer a high-stakes question, Model Council runs your query across several top models simultaneously and shows where they agree and where they diverge.

Finally, a feature called “Create files and apps” (formerly Perplexity Labs) works as an advanced deep research mode that goes beyond text. Like ChatGPT’s deep research feature, it produces a well-sourced written report—but it also goes further by gathering multimedia assets, generating custom charts, and organizing everything visually for easy reference. It looks more like the sort of data journalism The Wall Street Journal would produce than what a chatbot typically delivers.

Agentic AI is the next frontier for both apps

Every company wants to position its platform as agentic, so it’s a term that can be surprisingly murky to define. Broadly speaking, it means the AI can take action for you with limited supervision.

Perplexity and ChatGPT each have features that qualify as agentic:

Browsers are an internet technology that nearly every internet user is familiar with, so it makes sense that both Perplexity and ChatGPT now offer AI-native browsers as a way to boost adoption. Both offer built-in AI chat and agentic capabilities; Perplexity’s Comet browser has an edge on research, while ChatGPT’s Atlas browser is currently better-suited to multi-step tasks. Both are available for free, but you get more functionality if you’re on a paid plan.

If you’re looking for a peek into the future of AI, Perplexity Computer and ChatGPT agent offer a sense of where things are going.

Perplexity Computer can handle projects end-to-end by orchestrating between 19 different AI models, matching each model to the task it’s best suited for. To test it, I asked Perplexity Computer to build me a meditation app. 

After I kicked off the project, Perplexity Computer initiated a bunch of subtasks in parallel, from design to development to spinning up an audio engine. 

The final output, a fully-functioning web app called Serenity (which Perplexity named and branded on its own), was ready in eight minutes. The audio tracks weren’t ready for prime-time, but apart from that, it was as good as plenty of consumer apps I’ve paid for.

ChatGPT agent is more oriented toward taking action in the real world. You can ask it to do things like compare products and then buy the top-rated one, for example, or order a pizza. Below, I asked it to buy movie tickets for me.

While this all sounds great in theory, AI agents are still a lot slower than humans, and they’re not as adaptable when they hit a wall. Plus, since many websites use services like Cloudflare to guard against bots, agents need to navigate more technical hurdles than humans do. As a result, they spend a lot of time trying to access a website, only to get rate-limited or run into more mundane challenges like struggling to locate the “Buy” button.

After 15 minutes, my agent eventually found a movie, selected seats, made it to the “Buy” screen, and waited for my confirmation. 

This process will no doubt get better quickly, and the internet will become more agent-friendly too. But for the moment, using agents for everyday tasks like this usually creates more frustration than it resolves. 

One final agentic development to watch out for are OpenClaw-inspired AI assistants, which grant agents higher levels of autonomy within local computing environments. Perplexity has a waitlist for a product it calls Personal Computer, which gives Perplexity local access to your computer’s files. And OpenAI has hired the creator of OpenClaw, so expect interesting developments on that front soon.

Both apps integrate with Zapier

Perplexity and ChatGPT both integrate with Zapier, which makes it easy to use either as a step within your automated workflows. For example, you could create a Zapier workflow with a Perplexity step to conduct account research or a ChatGPT step to draft outreach emails.

With Zapier MCP, you can stay inside your AI chat window and take secure actions across Zapier’s library of 8,000+ app connections. It’s available for both Perplexity and ChatGPT.

Learn more about how to automate ChatGPT or how to create workflows in Perplexity, or get started with one of these pre-built templates.

Both are priced similarly, though ChatGPT now has a budget tier

Perplexity and ChatGPT both offer a limited free version, a paid plan at $20/month, and a $200/month plan that offers higher limits and extra features.

For $8/month, ChatGPT Go offers more messages and a larger context window, which makes it a good option if you’re mostly happy with the free plan but you need a bit more capacity. Perplexity doesn’t offer anything similar.

Part of Perplexity’s value proposition is that you get access to all the leading AI models in a single subscription. If you currently have paid subscriptions to multiple AI chatbots and you use each for model-specialized purposes, it’s worth considering whether Perplexity can handle everything you need.

Just know that there are also limits to consider: while you do get access to other leading AI models, you miss out on the other features those chatbots offer. And it’s worth highlighting that Perplexity’s subreddit is full of users frustrated because usage quotas frequently shift, the available models tend to change without warning, and Perplexity’s default seems to be to steer you toward its own (rather underpowered) Sonar model.

ChatGPT vs. Perplexity: Which should you choose?

Here’s a quick decision-making framework if you’re not quite sure which tool to go with.

• Choose Perplexity if you want a best-in-class research assistant. You’ll get real-time search results, consistent citations, and domain-specific research environments for fields like academia and patents. Perplexity also gives you access to stats and reports that are normally paywalled. And with Perplexity Computer, you can manage entire research projects—along with app development and other tasks—with one prompt. 

• Choose ChatGPT if you want a general-purpose AI assistant. It’s a superb partner for creative projects, data analysis, and coding, and you also get access to unique features like Canvas, custom GPTs, and ChatGPT agent. If research and web search aren’t your primary use cases, ChatGPT is your best bet.

Regardless of which app you choose, you can connect it to your entire tech stack with Zapier MCP. Without leaving ChatGPT or Perplexity, Zapier lets you access data from and take actions in 8,000+ apps. Learn more about Zapier MCP, or start building.

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This article was originally published in June 2024 by Harry Guinness. The most recent update was in March 2026.