I Tested DeepSeek vs. ChatGPT: Which is Better in 2026?

When I first heard about DeepSeek in January 2025, I thought it might be just another name on the long list of ChatGPT alternatives. I mean, I’d already seen many AI chatbots like Gemini, Claude, Perplexity, and plenty of others try to dethrone ChatGPT.

But something about a DeepSeek vs. ChatGPT matchup felt…. different. Mainly because DeepSeek is completely free and fully open-source. That definitely made me pause, and I wasn’t alone.

Since its launch, more than 350 million+ use it every month (myself included), according to SimilarWeb data. From GitHub stars to AI Reddit threads and Twitter/X buzz, DeepSeek has been everywhere lately.

Over the past few months, I’ve been using ChatGPT and DeepSeek side by side. And if you know me, you already know I had to run a proper head-to-head test.

In this article, I’ll break down exactly how DeepSeek vs. ChatGPT played out across real-world tasks — writing, coding, summarizing, researching — and which one I’d actually recommend depending on your workflow. And yes, I’ve backed it up with G2 user data too.

TL;DR: DeepSeek is a pro at technical work like data analysis, logic-heavy reasoning, and handling multiple languages with ease. ChatGPT, on the other hand, is your go-to for general-purpose tasks like content creation, brainstorming, casual conversation, coding, and image generation. DeepSeek delivers efficiency and precision, but ChatGPT takes the crown for versatility, polish, and ease of use.

Quick note: “DeepSeek” is the name of a whole family of open-source AI models, the chatbot interface that uses them, and the company behind it all. When I mention “DeepSeek” here,  I am talking about the AI chatbot.

Note: Both OpenAI and DeepSeek frequently roll out new updates to these AI chatbots. The details below reflect the most current capabilities as of April 2026, but may change over time.

DeepSeek vs. ChatGPT: What’s different and what’s not?

Before we get down to brass tacks with some real-world testing, it's worth taking a moment to unpack what sets these chatbots apart and, surprisingly, where they have quite a bit in common.

DeepSeek and ChatGPT: The differences

The main difference between Deepseek and ChatGPT is that Deepseek specializes in retrieval-augmented generation (RAG) with an open-source focus, while ChatGPT is a general-purpose conversational AI developed by OpenAI with proprietary models and broader integration options like web browsing, code interpretation, and plugins.

From my experience, ChatGPT immediately feels like the more polished, feature-rich product. The interface is smoother, the ecosystem is more mature, and it just works out of the box.

DeepSeek, on the other hand, is powerful under the hood, especially with its open-source models. But it still feels like it’s early in its product journey. The user experience is basic, and some advanced features are still catching up. Let me break down the specifics:

• AI models and processing power: DeepSeek is built on its own open-source models, including DeepSeek-V3.2, which is a reasononing-first model built for agents. ChatGPT, on the other hand, now uses GPT-5.3 as its flagship model, replacing all earlier generative pre-trained transformer (GPT) models like GPT-4o, GPT-4o mini, GPT-4, GPT-4.5, and o-series models. GPT-5 uses an internal router and a multi-modal architecture to pick between speedy or deep-thinking modes.
• Context Window:  The context window defines how much an AI can retain and reference in a single conversation. The GPT-5 model supports a 2,56,000-token context window, allowing for extremely long conversations or multi-document tasks. The GPT-5.3-Codex model features a 400,000 token total context window. The DeepSeek-V3.2 has a 1,28,000 context window limit, generally sufficient for most uses, though smaller than ChatGPT's top capacity.
• File handling: DeepSeek supports text, images, audio, video, and documents in various formats like DOCX, PPTX, XLSX, CSV, and Google files. The Instant mode can handle a maximum upload of 50 files, 100MB per file. ChatGPT supports formats like DOCX, PDF, TXT, PPTX, CSV, and XLSX, 512 MB per file, with free users having three file uploads a day. Each end-user is capped at 25GB
  
• Knowledge cutoff: ChatGPT’s GPT-5.3 is trained on data up to August 31, 2025. DeepSeek does not officially disclose its knowledge cutoff, making it less transparent in that area.
  
• Voice chat: ChatGPT wins here for hands-free interaction with its built-in voice chat. It’s really cool to talk directly to it (downplaying here — I love it!) DeepSeek doesn't have that feature built in right now, but it is available through third-party integrations.
• Multimodal capabilities: ChatGPT is more of a multi-sense AI. It can understand images (like charts), chat with voice, and even get a sense of video. DeepSeek is really strong with text and has become quite good at understanding images and videos. However, unlike ChatGPT, voice interaction and image generation aren't currently standard features in DeepSeek's main chat interface.
  
• Custom AI assistants: ChatGPT makes it easy to build your own custom AI helpers with memory and tools. DeepSeek doesn't offer a simple way to do this; you'd need to be a developer to potentially build something yourself due to its open-source nature. ChatGPT is clearly more accessible here.
• Integrations: Again, ChatGPT has a notable edge here. While both can connect to many apps through services like Zapier and Albato, ChatGPT also offers direct, built-in integration with Google Drive and allows one to connect with other apps via Connectors. This makes it incredibly easy to refer to your documents right within the chat. DeepSeek currently lacks this direct cloud storage link.
• Content limitations: Now, when it comes to talking about certain things, like politics or anything a bit touchy, you might find DeepSeek clams up a bit more than ChatGPT. It might just refuse to answer or give you a really vague response. ChatGPT definitely has its own filters, but it generally seems more willing to chat about a wider range of subjects.
• Pricing: This is a big difference. DeepSeek is completely free to use. You get all the core goodies like web searches, access to advanced thinking models, and file uploads without hitting any paywalls. ChatGPT does offer a free option, but if you want extended access to more powerful models and those extra features like custom GPTs, ChatGPT agent, and video generation model, you'll need to shell out for ChatGPT Go, Plus, or Pro versions. So, if cost is a major factor, DeepSeek definitely comes out on top.

DeepSeek and ChatGPT: the similarities

Irrespective of their differences, DeepSeek and ChatGPT actually have a lot in common. Here’s what they both do well:

• Text generation: Whether you need to write a compelling story, summarize a lengthy article, or just brainstorm some fresh ideas, both DeepSeek and ChatGPT are highly capable of generating readable and relevant content with relatively little input from you.
• Coding: Both of these platforms can serve as very helpful coding assistants, whether you're trying to debug existing code, write new snippets, or simply understand complex programming concepts.
• Web search: Need to pull information from the internet? Both have integrated web browsing capabilities to help you find what you're looking for. 
• File analysis: Got a PDF, a Word document, or some other file you need to extract key insights from? You can upload it to either of these, and they can help you pull out the important information. It's a real boon for research.
• Sharing chats: You can share your chats as links in both ChatGPT and DeepSeek. This makes it easy to collaborate, get feedback, or save important conversations for later.
• Reasoning or thinking models: When it comes to thinking things through, both chatbots have upgraded brains — well, thinking models. DeepSeek has DeepSeek V3 that supports the thinking mode, while ChatGPT launched GPT‑5.4 Thinking in March 2026. Both are designed to handle logic and complex tasks more effectively.

Features are one thing, but how do these chatbots actually perform? To find out, I tested them on 10 real-world tasks.

Disclaimer: AI responses may vary based on phrasing, session history, and system updates for the same prompts. These results reflect the models' capabilities at the time of testing. This review is an individual opinion and doesn’t reflect G2’s position about the mentioned software’s likes and dislikes.

DeepSeek vs. ChatGPT: How they actually performed in my tests

You're probably on the edge of your seat to see how these AI brains actually performed in the real world, right? Well, for each test I threw at them, here's the lowdown on how I'm going to break it all down for you:

• What stood out?  I'll point out what each AI did well, where they stumbled, and any moments that made me go, "Whoa!" (in a good and bad.)
• Who did it better? I'll tell you straight up which AI came out on top based on things like how accurate they were, how creative they got, how quickly they did the job, and just how easy their answers were to actually use.
• Final verdict: My honest take on which chatbot I’d choose for that specific use case.

1. Summarization: DeepSeek for better understanding

For this first challenge, I wanted to see how well they could nail a concise summary. I gave both ChatGPT and DeepSeek an article from G2 about how more and more non-designers are using Canva. Their mission was to boil it down to exactly three bullet points and keep it under 50 words. 

ChatGPT gave me a well-rounded summary that pulled in real detail from the article, including G2 data, Canva’s appeal to non-designers, and even mentioned what exactly the non-designer like. It felt thoughtful and complete.

ChatGPT's response to the summarization prompt

DeepSeek covered everything ChatGPT did and more. It also highlighted the drawbacks mentioned in the article. The only snag I saw was that the source was not mentioned. 

DeepSeek's response to the summarization prompt

So, who did it better? Honestly, it depends on what you value more. If you’re a stickler for format and clarity, DeepSeek did exactly what I asked. But if you're looking for citation source too, ChatGPT did mention the source clearly. Personally, I’d give it to DeepSeek for better coverage of the article summary.

Winner: DeepSeek

2. Content creation: ChatGPT for more creativity and brand awareness

Content creation is where you see AI chatbots popping up everywhere these days. So, for this content creation gig, I wanted to see which AI could handle a full-on marketing brief, from writing a product description and tagline to creating platform-specific posts and ad copy. And honestly? Both DeepSeek and ChatGPT did an impressive job.

ChatGPT's response to the content creation prompt

ChatGPT was all about that smooth, polished vibe with a bit of its own personality shining through. The product description just flowed, the social posts felt like they were ready to go live, and the tagline "Power your phone, power the planet" was one of those that sticks in your head without being cheesy. It's TikTok and YouTube ideas? Totally understood the platforms and had a good pace. The overall tone was just right – fun but still clear. It felt like real marketing material you could actually use.

DeepSeek's response to the content creation prompt

Then, you had DeepSeek, which was super organized and structured. Everything was laid out so neatly, with clear headings, bullet points, and to-the-point messaging. The tagline "Power Up. Anywhere. Naturally." was solid and did the job, even if it wasn't trying to win any awards for flashiness. The content overall felt a bit more like a template, which isn't necessarily bad, just more of a first-draft kind of feel. 

DeepSeek's response to the content creation prompt

But, and this is a big "but," there was this one line in its TikTok script that just completely missed the mark for me. DeepSeek went with "dead phone? never heard of her." I get where it was going for, but it just sounded…ominous. 

So who won? So both did well, but ChatGPT gets the slight win for being more creative and brand-aware. Its output felt closer to ready-to-publish. DeepSeek was solid but that one TikTok line? Definitely getting cut. 

Winner: ChatGPT

3. Creative writing: Both wrote a good story

This was a fun task. I asked both bots to craft a 300-word science fiction story based on a specific set of elements.

ChatGPT’s story “Whispers of the Wanderer” had steady, cinematic pacing that built tension organically. It felt tight, poetic, and confidently written, with just enough world-building to spark your imagination without bogging things down. The phrasing in places, like “each swirl like a living thing” or “walls shimmering as if reality itself frayed,” stood out as polished and evocative. And the twist landed hard!

ChatGPT's story "Whispers of Wanderer" for the creative writing task

Then I read DeepSeek’s version, “Echoes in the Nebula”. The writing was solid. The twist, while thoughtful, felt more like a gentle reveal than a true gut punch. I felt the story delivered a more emotionally satisfying and easily understandable story within a classic sci-fi framework.

DeepSeek's response to my creative writing prompt

If I were judging on impact alone, I might lean slightly toward ChatGPT — but truthfully, both nailed it in their own style. This one’s a draw.

Winner: Split

4. Coding: DeepSeek for going the extra mile  

For the coding task, I asked both chatbots to help me build a simple password generator using HTML, CSS, and JavaScript.

DeepSeek almost surprised me here. Not only did it let me run the code directly inside the chat (which was incredibly convenient), but it also included a password strength checker. That extra touch? I didn’t expect it, and it genuinely impressed me.

I could run the code insdie DeepSeek

It made the whole experience feel a bit more “developer-ready.” I did run the code separately in OneCompiler. The UI was also much more advanced than I expected it to be. It showed information on character lengths of strong passwords and special characters that could be used.

DeepSeek's code for a password generator

ChatGPT, on the other hand, gave me a cleaner version. I ran it in OneCompiler, and everything worked as expected — password generation, copying, and even a confirmation alert. It didn’t have the added strength meter and other UI details like DeepSeek did.

ChatGPTs code for a password generator

DeepSeek really surprised me with this one. It not only created a fully functional password generator but also went the extra mile to make the experience stand out. 

Winner: DeepSeek

5. Multilingual capabilities: DeepSeek for nuance

Given that both AI chatbots are multilingual, I was curious to see how well they could handle translations beyond just English. So, I tasked them with translating a simple English paragraph into Tamil, my native language.

Honestly, both translations were just okay, not perfect, but serviceable.

ChatGPT’s version started strong. I actually preferred its word choice for “quick,” which felt more natural to me than DeepSeek’s. But where ChatGPT fell a little flat was in the third sentence; it felt a bit clunky and didn’t flow as well.

Translation by ChatGPT

DeepSeek, on the other hand, did a better job with that final line. It read more clearly and sounded smoother overall. What also stood out was the extra context DeepSeek added. It explained how it translated certain terms like “pangram” and why it chose to transliterate some of them. That kind of thoughtfulness definitely added points.

Translation by DeepSeek

While neither translation blew me away, DeepSeek edged ahead on this one. It wasn’t flawless, but it showed more attention to nuance and produced a slightly more polished result overall.

Winner: DeepSeek

6. Image analysis: ChatGPT for better interpretation 

I was curious how well these AI chatbots could handle visual inputs, not just plain prompts. Could they actually look at an image and give me a clear, useful breakdown? To find out, I gave them two very different challenges: an infographic on AI adoption trends and a handwritten version of a classic poem. I wasn’t after basic descriptions; I wanted real analysis, structure, and insights that go beyond the obvious.

ChatGPT honestly nailed both tasks. It broke down the infographic clearly, pulling out key stats and structuring them in a way that made sense.

But what impressed me more was how it handled the handwritten poem. It accurately transcribed Emily Dickinson’s “Hope is the Thing with Feathers” word for word, even describing the style of handwriting and the paper it was written on. There was no confusion, no overthinking—it just got it right.

ChatGPT's response to my image analysis prompt

DeepSeek also did well, especially with the infographic. It didn’t just extract the key points; it gave me strengths, weaknesses, and recommendations for improving the design. That was a thoughtful extra step, and I appreciated the editorial lens. 

DeepSeek's response to my image analysis prompt

But when it came to the poem, it stumbled a bit. It misinterpreted the image as a modified or slightly inaccurate version of Dickinson’s original, assuming there were spelling errors or intentional changes, even though the image was a clean reproduction of the actual poem. So, while it got the gist, it layered on an interpretation that wasn’t really true.

DeepSeek transcribing my hand-written notes as part of the image analysis task

Winner: ChatGPT

7. File analysis: ChatGPT for technically sound breakdown

For the file analysis test, I uploaded Einstein’s 1905 paper “On the Electrodynamics of Moving Bodies” and asked both chatbots to summarize the key findings in five bullet points, under 100 words. I wanted to see how well each one could distill dense academic content into something readable and concise without skipping the important stuff.

ChatGPT’s summary was spot on. It covered all the right principles, like relativity, constancy of light speed, time dilation, simultaneity, and Lorentz transformations, with clarity and structure. Each point was tight and accessible without oversimplifying. Plus, the formatting and flow made it super easy to follow

ChatGPT's response to the file analysis task

DeepSeek’s version wasn’t bad at all! It hit many of the same points but it skipped over the constancy of light speed, which is kind of a big deal for special relativity. That omission made its list feel slightly incomplete, even though it did include other concepts.

DeepSeek's response to the file analysis task

For this one, ChatGPT wins. It gave me a more complete and technically sound breakdown, which is exactly what I needed for a high-level academic summary.

Winner: ChatGPT

8. Data analysis: DeepSeek for better explanation

For this task, I threw a CSV file at both chatbots to see how well they could go beyond the basics and actually interpret raw data. I wanted each AI to pull out real trends, spot outliers, and summarize the biggest insights — not just echo back the numbers.

ChatGPT did a neat job summarizing the basics: top-ranking regions, average interest, and even pointed out that there weren’t any extreme outliers. It was clear, readable, and felt like something you could share with a general audience.

ChatGPT's response to the data analysis prompt

But DeepSeek? It went deeper. It not only flagged key data points but also explained why they mattered. It called out patterns in tech adoption, suggested practical marketing applications, and even noted limitations in the dataset — things like missing context and lack of demographic breakdowns. That extra layer of interpretation made it feel more like a real data analysis, not just a summary.

DeepSeek's response to the data analysis prompt

Between the two, I’d say DeepSeek pulled ahead on this one.

Winner: DeepSeek 

9. Real-time web search: ChatGPT for freshness and scope of search

When it comes to testing real-time web searches, how “live” these AI models actually are? I asked both ChatGPT and DeepSeek to pull in current news about artificial intelligence.

ChatGPT gave me three headlines that were incredibly fresh, the oldest was from three days ago. Honestly, I’ve been using ChatGPT’s web browsing feature for a while now, and the difference is noticeable. It used to be hit-or-miss, sometimes laggy or pulling outdated info, but now, and especially this time, it feels snappy and relevant. Getting headlines from just the day before made it feel like I was chatting with a real-time news assistant.

ChatGPT's response to the real-time web search task

DeepSeek, on the other hand, surfaced news stories from yesterday. As opposed to the 20-something sources that ChatGPT referred to, DeepSeek had searched across 51 webpages. However, most of the sources were from Chinese news outlets rather than more widely-recognized global ones. It does make-sense as DeepSeek's origin is in China.

DeepSeek's response to the real-time web search task

If I had to sum it up, DeepSeek wins on recency, but ChatGPT makes a stronger case for global coverage. The choice depends on whether you want fast or a broad search. Personally, I want fresh and global news, and in that case, it’s a clean win for ChatGPT.

Winner: ChatGPT

10. Reasoning capabilities: ChatGPT for providing alternate answers 

For my final challenge, I wanted to see if they could really think. I gave both ChatGPT and DeepSeek a classic logic puzzle to see if they could work through it step by step. Real-world AI needs to handle tricky logic and reach smart conclusions, so this was the ultimate test of their smarts, not just their answers. 

Both ChatGPT and DeepSeek impressed me with how they handled the logic puzzle. ChatGPT felt like talking to a thoughtful problem-solver. It didn’t just give me the answer but walked me through its thought process step by step. 

ChatGPT's response to the reasoning task

What really stood out was how it acknowledged that there could be more than one valid solution. That showed a deeper understanding of how these constraint-based puzzles work. It gave me a consistent solution but also showed how the pieces could shift around without breaking the rules, which made the reasoning feel flexible and human.

ChatGPT's response to the reasoning task

DeepSeek took a more structured approach. It broke down the constraints clearly, tested different scenarios, and verified each clue with satisfying little checkmarks along the way. I appreciated how organized and methodical it was — it felt like watching a logic grid get filled out piece by piece.

DeepSeek's response to the reasoning task

It arrived at a perfectly correct solution and presented it neatly, but it didn’t explicitly call out the possibility of alternate answers at the end, even though it hinted at it during the reasoning. That made its final output feel just a bit more rigid in comparison. 

In the end, both got the job done well. But for me, ChatGPT had the edge with how naturally it reasoned things out and how clearly it communicated the flexibility in the puzzle. It just felt a little more intuitive and insightful.

Winner: ChatGPT

DeepSeek vs. ChatGPT: Head-to-head comparison table 

Here’s a table showing which chatbot won the tasks. 

DeepSeek vs. ChatGPT: My final verdict

After testing both across ten real-world tasks, ChatGPT still comes out on top. It’s more polished, integrates better, and feels faster and smoother overall. But I’ve got to say, DeepSeek genuinely surprised me.

As someone who’s spent a lot of time trying everything from Gemini and Claude to Perplexity, DeepSeek didn’t feel like just another alternative. It’s a serious contender.
What I really love about it is that it's shaking things up with a completely free and open-source approach. That kind of competition is exactly what the AI space needs, and honestly, it's a breath of fresh air!

Of course, DeepSeek has some rough edges and it lacks the seamless experience ChatGPT offers with voice, files, and third-party integrations. But for something that’s completely free? It’s doing a lot right, and that’s hard to ignore.

So, while ChatGPT wins this one, the bigger takeaway is this: use what fits your needs. I still lean on ChatGPT for writing, research, and speed. But DeepSeek has definitely earned a place in my rotation, especially when I need logic-heavy output or just want a solid AI assistant without hitting a paywall. Between you and me? I love that we now have options.

The variety is a good thing. And this space is better for it.

Frequently asked questions on DeepSeek vs. ChatGPT

Still have questions? Get your answers here!

1. What is the difference between DeepSeek and ChatGPT?

DeepSeek is open-source and free, with a strong focus on multilingual capabilities and logic-driven reasoning. ChatGPT is a commercial product with a polished interface, advanced features (like voice, file analysis, and custom GPTs), and broader integration options. While ChatGPT feels more mature, DeepSeek is a powerful free ChatGPT alternative for users who value transparency and open models.

2. Does DeepSeek have a limit?

Yes, while DeepSeek doesn’t have a paywall, it still enforces usage limits to keep the service stable, including daily or hourly caps on the number of prompts, temporary slowdowns during peak traffic, and file size restrictions. If you deploy DeepSeek locally using its open-source models, those limits are determined entirely by your hardware and setup.

3. Who owns DeepSeek?

DeepSeek is a privately held AI company based in Hangzhou, China, founded in July 2023 by Liang Wenfeng, who also serves as CEO. It is owned and funded solely by High-Flyer, with Liang personally holding a substantial majority stake.

4. DeepSeek vs. ChatGPT: Which is better?

It depends on the use case. ChatGPT offers a more refined interface, stronger integrations, and reliable creative output, particularly with the paid GPT-5.4 Pro model. DeepSeek is fully free and open-source, making it a great alternative for users looking for strong reasoning, multilingual support, and zero cost. ChatGPT is more feature-rich, while DeepSeek excels in accessibility and openness.

3. Is DeepSeek as good as ChatGPT for coding and reasoning?

ChatGPT is better suited for production-ready code, debugging, and explanation-heavy tasks. It provides polished output with high consistency. DeepSeek supports coding with reasoning-heavy capabilities and even includes built-in features like running the code in the interface itself.

Best for usability: ChatGPT

Best for free access: DeepSeek

4. ChatGPT vs. DeepSeek: Which has better integrations?

ChatGPT has more robust integrations, including built-in support for Google Drive, file handling, and access to third-party plugins. It also allows users to create and use custom GPTs with memory and tool support. DeepSeek does not offer native integrations as of yet (unless deployed in a custom, self-hosted environment).

6. ChatGPT or DeepSeek: Which AI chatbot is better for math and problem-solving?

ChatGPT typically provides better step-by-step explanations and is more user-friendly for math problems and structured reasoning. DeepSeek is capable of solving logic-based problems and puzzles effectively, but it may sound more mechanical in tone.

7. Can I use both ChatGPT and DeepSeek?

Yes. Both tools can be used in tandem depending on the task. ChatGPT is well-suited for writing, brainstorming, and integrated workflows. DeepSeek is ideal for users looking for a free AI tool with solid reasoning and multilingual capabilities.

8. Is ChatGPT or DeepSeek better for writing and creative tasks?

ChatGPT is the stronger option for writing and creative content. It generates high-quality copy, storytelling, and structured text across use cases. DeepSeek performs well but may produce more generic or templated content depending on the prompt and might need some editing.

9. How does DeepSeek compare to ChatGPT in performance and accuracy?

ChatGPT is more accurate overall, particularly when using GPT-5.3 with web browsing enabled. It provides reliable, up-to-date responses with better contextual understanding. DeepSeek is generally accurate for logic-based tasks but lacks transparency around its knowledge cutoff.

10. DeepSeek vs. ChatGPT: Which is better in terms of price comparison?

DeepSeek is 100% free to use with no feature restrictions. ChatGPT offers both a free plan and a $8/month Go plan. The Plus and Pro plans unlock advanced models and features like custom GPTs and higher rate limits for chats.

11. Why is DeepSeek cheaper than ChatGPT?

DeepSeek is completely free to use because it’s built on open-source models with an energy-efficient architecture (like its mixture-of-experts approach). This reduces the computational costs associated with running the AI and eliminates the need for heavy infrastructure expenses and subscription-based monetization. This is why it can operate without charging users — unlike ChatGPT, which incurs higher costs from maintaining proprietary models, cloud infrastructure, and premium features.

12. Which is better, ChatGPT, DeepSeek, or Grok?

DeepSeek is best for technical precision, logic, and efficient code generation, especially when cost or open access is a priority. ChatGPT offers the most balanced experience, standing out in creativity, ease of use, integrations, and reliability. Grok adds flair and speed for real-time data tasks with an edgier conversational style, though it requires a paid subscription and carries some content risks.

ChatGPT and DeepSeek aren’t the only AI chatbots out there. I’ve rounded up the top AI chatbots to try my best ChatGPT alternatives guide. Check it out!

This article was originally published in April 2025, and has been updated with new information in April 2026.