I Ran 10 Prompts to See Who Wins

Everybody’s evaluating AI chatbots — however what occurs when one in every of them will not be a chatbot in any respect? 

That’s what instantly intrigued me about Perplexity AI. It manufacturers itself as an ‘AI-powered reply engine’ — a citation-rich, clever different to Google. But, in apply, it typically seems like a chatbot, delivering solutions immediately, albeit with a robust analysis spine.

I’ve been utilizing it because it first launched in late 2022, proper across the time ChatGPT exploded onto the scene. For sure, I discovered myself consistently switching between the 2, testing concepts, writing drafts, and digging into analysis. And whereas they appear to serve totally different functions on paper, in actuality, there’s lots of overlap.

So I lastly did it: Perplexity vs ChatGPT, face to face. Identical prompts. Identical duties. Identical expectations. From fact-checking to content material creation, I needed to see which one truly delivers extra worth once you’re deep within the circulation of labor.

And right here’s what occurred, all with G2 knowledge to again it up

Notice: Each OpenAI and Perplexity AI often roll out new updates to those AI chatbots. The main points under replicate probably the most present capabilities as of April 2025 however could change over time.

• Positioning and goal: From what I’ve seen, ChatGPT is clearly designed as a general-purpose AI chatbot — artistic, conversational, and customizable. Perplexity, alternatively, positions itself as an “reply engine” constructed for quick, correct, and sourced responses. It feels extra like a sensible, AI-powered different to Google than a traditional chatbot.
• Interface expertise: ChatGPT seems like a chat app at its core. It’s extremely succesful and designed for longer, multi-turn conversations. With chat historical past, customized GPTs (tailor-made utilizing directions, recordsdata, or features), and built-in instruments like searching and picture technology, it creates a versatile area for creativity and problem-solving. Perplexity, alternatively, leans into its id as a search-first software. Its interface resembles a analysis engine with a chat overlay optimized for quick, citation-rich responses. It additionally consists of options like Uncover for trending matters and Areas to avoid wasting solutions, manage analysis, or construct light-weight customized AI assistants.
• AI fashions and processing energy: ChatGPT runs on OpenAI’s GPT fashions, whereas Perplexity stands out for providing quite a lot of LLMs from a number of suppliers, together with Claude 3.5 Sonnet, GPT-4o, Gemini Flash, and extra. It additionally options its personal fashions like Sonar and R1 1776, giving customers larger flexibility and management.
• Quotation-first vs. chat-first: Perplexity at all times reveals sources. Citations are constructed into each reply. With ChatGPT, you’ll solely get sources when utilizing the net searching software (and even then, they’re much less outstanding.)
  
• Reminiscence and continuity: ChatGPT helps reminiscence throughout periods, which suggests it will probably keep in mind preferences, previous prompts, or context I’ve shared (tremendous helpful for ongoing workflows.) Perplexity doesn’t have long-term reminiscence, not less than from what I’ve noticed. So, every session typically begins contemporary.

Perplexity and ChatGPT: The similarities

Regardless of the branding and options, they nonetheless have quite a bit in frequent in relation to getting stuff achieved.

• Textual content technology: Each instruments are nice at producing clear, human-like responses to questions, prompts, and artistic duties. Whether or not I’m summarizing an article, drafting a weblog intro, or rephrasing one thing for tone, each ChatGPT and Perplexity ship coherent, context-aware output.
• Coding: Whereas ChatGPT has the sting for extra superior dev duties, Perplexity nonetheless holds its personal for fast code explanations, syntax assist, and debugging strategies. I’ve used each for the whole lot from primary HTML and Python snippets to exploring new frameworks.
• Voice interactions: Each platforms now assist voice chats. I’ve used ChatGPT’s voice mode for informal conversations or fast prompts on the go, and Perplexity not too long ago rolled out voice capabilities, too. It’s nice after I need quick solutions with out typing.
• Multimodal capabilities: Every platform helps multimodal enter in several methods. ChatGPT lets me add photos and have the mannequin describe, analyze, or interpret them. Perplexity isn’t natively constructed for picture technology, however it will probably extract insights from internet visible content material and generate photos with the paid plan.
• File evaluation: Each instruments allow you to add recordsdata, like PDFs, docs, or decks, for summarization and Q&A. I’ve used them to extract key insights from dense analysis papers in seconds. Perplexity helps plain textual content, code, PDFs, and pictures as much as 25MB, with 3 uploads per day totally free customers and as much as 4 recordsdata directly. ChatGPT helps codecs like DOCX, PDF, TXT, PPTX, CSV, and XLSX (as much as 512MB every), with free customers once more restricted to a few uploads every day.
• Internet search and deep analysis: Each ChatGPT (through SearchGPT) and Perplexity present real-time internet entry, however their types differ—ChatGPT summarizes, whereas Perplexity highlights sources and citations by default. Each additionally supply a Deep Analysis characteristic that pulls from a number of internet sources to generate structured, in-depth studies. I’ve discovered it nice for tackling advanced matters or multi-layered questions.
• Short-term chats and sharing: Each instruments assist non permanent periods and make sharing simple. I typically share Perplexity threads by downloading them as PDFs or textual content recordsdata, whereas ChatGPT affords shareable chat hyperlinks.
• Customized AI assistants:  Whereas ChatGPT has “customized GPTs” and Perplexity has “Areas,” each let me construct purpose-specific AI instruments. For instance, I may create a writing assistant that remembers my most popular type in a customized GPT, or a Perplexity Area targeted on monitoring inventory market information with particular sources. Each platforms make it simple to customise how the AI responds and remembers context (inside that session).

Evaluating specs is one factor. However how do Perplexity and ChatGPT maintain up in apply? Right here’s how I put them to the take a look at.

Disclaimer: AI responses could range based mostly on phrasing, session historical past, and system updates for a similar prompts. These outcomes replicate the fashions’ capabilities on the time of testing. Additionally, this evaluate is a person opinion and doesn’t replicate G2’s place concerning the talked about software program’s likes and dislikes.

The primary problem concerned summarizing. I instructed each ChatGPT and Perplexity to extract the important thing info from a G2 article detailing the rising adoption of Canva by non-designers, presenting it in precisely three bullet factors and beneath 50 phrases.

Perplexity’s response to the summarization immediate

Instantly, I observed a distinction in how they approached the duty. Perplexity stored issues clear and direct. Its bullets had been brief, skimmable, and stayed true to the temporary.

ChatGPT’s response to the summarization immediate

ChatGPT, in the meantime, added extra element and depth, even bringing in G2 evaluate knowledge, which was spectacular however went a bit overboard for a good abstract. It felt extra like a mini editorial than a TL; DR.

Whereas each had been correct, Perplexity’s model was simpler to make use of at a look. So if I wanted one thing polished for a write-up, I would lean on ChatGPT. However for fast, high-impact summaries, particularly beneath phrase limits, Perplexity did a greater job.

Winner: Perplexity

2. Content material creation

Shifting on to AI content material creation, a recognized energy, I needed to see how Perplexity and ChatGPT would carry out beneath the strain of a full advertising and marketing push.

So, I gave them each a reasonably complete single immediate, asking for product descriptions, catchy taglines, social media posts for various platforms, electronic mail topic traces to attract folks in, and even a brief script for a video advert. Mainly, the entire 9 yards of a advertising and marketing marketing campaign!

Each ChatGPT and Perplexity dealt with it rather well. The outputs had been polished, assorted, and genuinely usable. Curiously, the concepts they got here up with had been fairly related throughout each instruments, which made the comparability really feel even fairer.

Perplexity’s output was robust. Its tone shifted properly between platforms — playful on Instagram, easy on electronic mail, and visible on video. 

Perplexity’s response to content material creation immediate

I discovered its tagline punchier than ChatGPT’s. Its copy didn’t really feel templated, and I appreciated that it didn’t want a lot tweaking. I particularly appreciated how naturally it dealt with totally different codecs with out dropping model voice.

Perplexity’s response to content material creation immediate

ChatGPT made the content material really feel able to drop right into a model doc or marketing campaign deck. It additionally supplied extra hashtag choices for social media posts, which is useful if you happen to’re attempting to cowl a number of angles or faucet into totally different traits. The tone throughout codecs was constant, and I didn’t spot any weaknesses in its method.

ChatGPT’s response to content material creation immediate

Backside line: each instruments carried out impressively right here. I didn’t really feel like both one lagged. If I had to decide on, I’d say it’s a tie; ChatGPT wins on construction and extras (like hashtag protection), whereas Perplexity stands out for its fluid tone and plug-and-play readiness.

Winner: Break up verdict.

3. Inventive writing

I actually needed to see how properly these instruments may break free from formulaic outputs and truly inform a narrative with temper, pacing, and a twist. I gave each ChatGPT and Perplexity a sci-fi immediate with just a few must-have parts: a mysterious sign, a sentient AI, and a reality-bending reveal — all inside 300 phrases.

Proper off the bat, ChatGPT stood out for together with a title, “Whispers of the Wanderer,” which immediately set the tone. Its story had ambiance, pressure, and a cinematic really feel. The pacing was tight, the language vivid (particularly these descriptions of the nebula and the glitching hologram), and the ending twist, “You’re the sign, ”landed completely.

ChatGPT’s story “Whispers of Wanderer” for the artistic writing process

Perplexity’s take was additionally robust. It constructed a distinct type of temper, which was extra philosophical and nearly dreamlike. The narrative had a softer tone however nonetheless hit the important thing parts. The ultimate line, “Actuality will not be what you see, however what you might be allowed to see,” was a robust nearer. It leaned barely extra summary, however I appreciated that it took a distinct stylistic route than ChatGPT’s model.

Perplexity’s response to my artistic writing immediate

Each tales had depth and strong character voice and used the weather I requested for. So general? One other robust displaying from each. 

Winner: Break up

4. Coding  

Full disclosure: I’m not a developer. However I do know that coding is a significant benchmark for AI efficiency, particularly in relation to real-world use. For this take a look at, I requested each ChatGPT and Perplexity to construct a easy password generator utilizing HTML and JavaScript. I needed to get a working resolution with clear code and a user-friendly interface.

And this spherical? ChatGPT swept it. The code it generated labored completely on the primary strive. The interface was clear and intuitive, and the software did precisely what it promised — no hiccups. At the same time as a non-dev, I may perceive what the code was doing, and the general setup appeared polished sufficient to drop right into a newbie challenge or a fast demo. I appreciated that it had styled the UI additionally higher with the lock emoji and colourful buttons.

ChatGPT’s password generator

Perplexity, alternatively, produced a largely practical model, however the clipboard copy didn’t work. Which may seem to be a small element, nevertheless it made the entire expertise really feel much less full. The UI additionally wasn’t fairly as refined. It did the job, however lacked the little touches that made ChatGPT’s model really feel extra usable and polished.

Perplexity’s password generator

Winner: ChatGPT

5. Picture technology

Subsequent, I needed to check one thing just a little extra visible — picture technology. We’ve all seen AI-generated artwork floating round on-line, however I used to be curious to see how properly these instruments may deal with one thing grounded and real looking: a inventory picture of a small enterprise proprietor. It’s the type of picture entrepreneurs, content material creators, and small groups consistently want. However producing one that really appears to be like plausible? That’s an actual problem.

It’s value noting that Perplexity lets solely Professional customers generate photos as a part of their workflow, and I attempted it with each Flux and DALL·E 3 on the platform. 

ChatGPT, utilizing GPT-4o, gave me what felt like the most effective general interpretation. The setting appeared like a comfortable boutique, full with a mixture of merchandise — garments, equipment, and a heat, trendy vibe. It checked a lot of the bins in a balanced, visually clear means.  

And given all of the latest buzz round GPT-4o’s picture technology capabilities, having the ability to create the whole lot from Ghibli-style artwork to ultra-realistic images, it really delivered right here. The picture appeared polished, pure, and really usable for real-world content material.

Picture generated with ChatGPT

Perplexity’s picture technology expertise was a bit much less intuitive. I needed to dig by way of the interface to truly discover the choice because it wasn’t entrance and middle like in ChatGPT. However as soon as I acquired there, the outcomes had been strong. The model generated by way of Flux leaned into the ambiance greater than element. It didn’t cowl each side of the immediate, nevertheless it acquired the comfortable, inviting temper proper. If ambiance was the objective, this was a win.

The DALL·E 3 model from Perplexity was probably the most product-specific. It zoomed in on the handmade and textile angle, giving off critical artisanal store vibes. Consider carefully stacked materials, stitching instruments, and a workspace that feels curated and genuine. If I had been selling a craft-focused small enterprise, this is able to be the one I’d attain for.

Picture generated with Perplexity

So, which software was higher? Actually, it relies on what you’re prioritizing. ChatGPT was the most effective all-rounder, Flux delivered on vibe, and DALL·E 3 on product specificity. Totally different flavors, all spectacular — however ChatGPT positively felt probably the most seamless to make use of.

Winner: ChatGPT

6. Picture evaluation 

For picture evaluation, I actually needed to push Perplexity and ChatGPT a bit additional. As an alternative of a easy image, I gave them two distinct forms of visuals: an infographic about AI adoption and a handwritten poem. And truthfully? Each instruments did surprisingly properly.

Perplexity supplied clear summaries for each photos, highlighting key traits within the infographic and decoding the poem’s visible parts with ease. It pulled out a very powerful percentages, supplied insights about design selections, and interpreted the poem with emotional nuance. No main pink flags there!

Perplexity’s response to my picture evaluation immediate

ChatGPT additionally did a strong. But it surely was far more structured than Perplexity’s with subheaders. For the handwritten poem, it went the additional mile and totally transcribed the poem, which I discovered tremendous useful. That little little bit of added construction made it simpler to skim.

ChatGPT’s response to my picture evaluation immediate

First, the infographic. ChatGPT gave me a brilliant well-structured abstract, hitting all the important thing statistics, traits, and conclusions. It even gave me some ideas on the visible design, which was a pleasant contact.

If I needed to nitpick, the poem transcription by ChatGPT was the one standout distinction — in any other case, they had been pretty evenly matched. I didn’t discover both lacking any vital observations or misinterpreting something. Each instruments demonstrated robust comprehension and interpretation abilities.

ChatGPT transcribing my hand-written notes as a part of the picture evaluation process

So, on this spherical? It’s an in depth name. If you happen to’re simply searching for quick, correct picture understanding, Perplexity completely holds its personal. However if you happen to worth barely extra construction and that bonus stage of element like transcription, ChatGPT nudges forward.

Winner: ChatGPT

7. File evaluation

For this process, I gave each ChatGPT and Perplexity a heavy-hitter: Einstein’s 1905 paper “On the Electrodynamics of Shifting Our bodies” and requested them to summarize it in 5 bullet factors beneath 100 phrases.

ChatGPT’s response was polished, accessible, and grouped concepts like time dilation and size contraction properly. It felt user-friendly and clear with out oversimplifying. It went just a little above phrase rely however nonetheless not as a lot as Perplexity. 

ChatGPT’s response to the file evaluation process

Perplexity’s take leaned extra tutorial, utilizing phrases like “Lorentz transformations” and “mass-energy relationship” proper up entrance. It felt like one thing a researcher would possibly write — exact, barely extra technical. It positively went just a little over the phrase rely, too. 

Perplexity’s response to the file evaluation process

Winner? Discounting the phrase rely problem, I’d say it’s a tie. ChatGPT is nice for fast understanding. Perplexity feels extra formal. Each are glorious at distilling advanced content material into digestible insights.

Winner: Break up verdict. 

8. Information evaluation 

Information evaluation was subsequent. I supplied each with a CSV of U.S. ChatGPT search curiosity by subregion to see who may extract key insights.

And I’ve to say, Perplexity knocked it out of the park. It didn’t simply summarize the information; it broke it down with the type of element I didn’t get from ChatGPT, Gemini, and even DeepSeek. We’re speaking about statistical abstract with imply, median, and customary deviation, together with considerate observations beneath regional patterns.

The technocentric perception you see under? Tremendous worthwhile. It made me really feel like I used to be studying the evaluation of somebody who actually acquired the information, not simply glanced at it.

Perplexity’s response to the information evaluation immediate

ChatGPT did high quality — clear, readable, and correct. If I needed a fast scan, positive, it delivered. But when I used to be prepping for a gathering or writing a report, I’d lean on Perplexity for the additional depth.

ChatGPTs response to the information evaluation immediate

This one wasn’t even shut. Clear win for Perplexity.

Winner: Gemini 

9. Actual-time internet search

Within the subsequent process, I used to be curious to see how properly Perplexity and ChatGPT may sustain with the world. I requested them to seek out and summarize the three most up-to-date AI information tales.

ChatGPT surprisingly rose to the occassion. It is actual time internet search pulled well timed headlines — White Home appointing Chief AI Officers, Meta launching Llama 4, and Microsoft showcasing an upgraded Copilot at its fiftieth anniversary occasion. Not solely had been the tales contemporary (all dated inside the previous few days), however the summaries had been concise, structured, and filled with context.

ChatGPT’s response to the real-time internet search process

Perplexity, alternatively, took a extra analytical method. It pulled in deeper industry-wide tales just like the AI Index Report, Google’s Pixel 9 Gemini AI replace, and the way AI is reshaping MBA applications. These had been positively insightful and sourced from credible publications like Nature, however they weren’t as “news-now” as what I acquired from ChatGPT. Some headlines felt extra like latest analysis findings or product commentary than hot-off-the-press updates.

ChatGPT’s response to the real-time internet search process

For me, ChatGPT got here out on prime for this one. 

Winner: ChatGPT

10. Deep analysis process

The ultimate process I designed was centered round what I imagine is a really pivotal functionality for AI chatbots: deep analysis. The promise of those instruments to deal with advanced analysis questions and effectively analyze huge quantities of knowledge is extremely thrilling.

To check this immediately, I set each Perplexity and ChatGPT the problem of exploring a present and vital space: the continuing traits in SaaS consolidation.

Perplexity responded rapidly and packed its evaluation with up-to-date knowledge — 49 sources in complete. It nailed the numbers, cited latest case research, and delivered a clear abstract with robust monetary context. The insights round tech hubs and valuation traits had been particularly sharp. That mentioned, it was extra of a straight knowledge drop — quick and correct.

Perplexity’s deep analysis capabilities

ChatGPT, in distinction, took its time. It requested me clarifying questions first, which made the expertise really feel extra collaborative. The ultimate report took about eight minutes, nevertheless it was definitely worth the wait. It pulled from 41 sources, included examples, and had a transparent strategic construction.

I did discover it leaned on older knowledge, which was a bit irritating since I’d requested for insights from the final 3–5 years. Nonetheless, the content material was wealthy and layered, with considerate takeaways for SaaS leaders and traders.

ChatGPT’s Deep Analysis asking questions earlier than beginning

ChatGPT, alternatively, took a extra interactive method, asking me detailed questions on my most popular timeframe, geographic focus, and precedence areas earlier than continuing. In comparison with Gemini’s sooner turnaround, ChatGPT took longer to finish the duty (about eight minutes to generate the whole report).

Each instruments did rather well, however in several methods. Perplexity is best for fast, data-heavy analysis. ChatGPT takes longer however provides you one thing nearer to an govt briefing.

You will discover each analysis studies right here.

Winner: Break up verdict

ChatGPT and Perplexity aren’t the one AI chatbots on the market. I’ve examined Claude, Microsoft Copilot,  and extra to see how they stack up in my greatest ChatGPT options information. Test it out!