I'm a software engineering student, so I mostly work on coding and related tasks. Among the following AI chatbots:

1. ChatGPT Plus

2. Claude Pro

3. Gemini Pro

Which is the best one to buy for coding purposes?

If I had to start over with LLMs -- by "start over", I mean my memories across all accounts were wiped -- I would dual-subscribe to Claude and Gemini first, and only subscribe to ChatGPT if I needed Deep Research prompts.

ChatGPT is in fact the LLM you should use if you can only pick one. It is also the best at image-related requests, though Gemini is catching up.

Importantly, ChatGPT is the best if you want -- let me elaborate!! -- a correct answer. By "a correct answer" I mean you know in advance that the answer to your question will have limited room for insertion of perspective and limited room to be influenced, in its response, by the LLM recognizing who "the user" is, which as we know amplifies sycophancy dramatically. So, for example, computer specifications or product availability allow for more "it's actually x" than "is my writing wrong?".

Any question where the LLM will not seem rude by saying "well, it's actually x" is ideal for ChatGPT because *if there is any* room to seem rude through pushback ChatGPT will hit me with the "Exactly" and the "Sharp observation" and the "Right, and ...". (Everything I just said here is even more true for ChatGPT's Deep Research feature.)

Claude and Gemini are less multitool but much stronger in their specialties. Claude excels at conversations and Gemini at context-heavy deep work. (Importantly, it must be the paid version of Claude; the free version of Claude is misleadingly subpar.) Claude is not so good at images and bad at document analysis, while Gemini is clunky with conversations.

But my point that I hope to make with this post is that ChatGPT is no longer the obvious 'winner'. It was for a while, and I think this momentum continued because of the idea that one LLM could remain domain-generally excellent, but that is clearly no longer true.

Hey all

I’ve been diving into AI tools for the past couple of months, using the subscriber versions of ChatGPT and Gemini Advance.

So far, I've gotten a feel for how both platforms perform, but now I'm curious about Claude.

For those of you who’ve had hands-on experience with Claude, what does it offer compared to Chad GPT and Gemini Advance?

I’m particularly interested in understanding the pros and cons of each, from accuracy and depth of responses to overall user experience and unique features.

I primarily use AI to enhance my work as an attorney / Employee Relations professional, focusing on tasks like drafting, professional drafting, and in-depth analysis, while also exploring broader intellectual and personal creative pursuits.

Any insight is appreciated!

I use these tools mostly for marketing, strategy, coding, and copywriting, so my take is definitely through that lens. I am still trying to figure out ways to incorporate AI into my personal life (so please give tips)

ChatGPT - It’s like that familiar face that just gets me. I’ve used it the longest, so it feels the most natural. Great for copy, and it handles basic coding tasks well. It’s my go-to when I just need something quick and polished without too much hand-holding.

Gemini - I don’t love the way it writes or how results are presented, but I do use the research function a lot. It pulls in info pretty well, but I rarely rely on it for creative or writing tasks. For me it’s more of a backup tool than a daily driver.

Claude - First time I used it, I was super impressed. But the more I work with it, the more I notice little flaws. The artifact tool is neat, but sometimes it says it made changes when it didn’t. Still, I like it for strategy, technical writing, and more structured projects. Research is solid, and sources are usually good. Downsides: it doesn’t save much about you unless you’re working in a “project,” so you basically need a personal cheat sheet to re-teach it who you are.

Overall: • ChatGPT → copy + basic coding • Gemini → research (though I don’t use it much) • Claude → strategy, technical writing, coding

What are you guys using each for? Are there more I should check out?

Disclaimer: I posted the exact question in the other major subs as well. Trying to see if others have a similar use cases like below.

If money is not limitations and I am a not a developer but some interesting in between where I built small apps with a lot of pain, and used vibe coding, what is the benefits of subscribing to all three highest tiers of the current leaders? So ChatGPT Pro is 200 a month. You get access to codex, Sora,. And gpt 5 Pro, and almost never hit limits . Claude Max x20 at 200 a month, get a very high rate limits using opus and sonnet overall (thinking on upgrading as I am hitting the limits of x5). And Gemini ultra at 250 a month you get access to all their apps, beta access to new features, an integration to whole their suits of apps, etc,

So as a vibe coder what can you do, and does anyone here does that where they connect all the services together and word them in tandem to produce some phenomenal results.

Again, no need to say it's too expensive. Money here is not the issue. I'll even shill total of $1000 a month if my productivity goes to the moon, which in essence means you will most likely be better at almost every aspect of your job which for non-developer you are a hea dog the curve in any aspect of corporate office job. In other words, if I can translate a salary increase and personal development improvement, working on your own projects and work projects and just be better, this is a fraction of what you pay "professionals" do the things or teach you things.

So does it really worth it, and if it does, what is the hypothetical use cases you see that can achieved having all three under your belt.

More than 2 years of evolution. What should the average person who is interested in productivity, writing, general research and vibe coding pay for

From a SWE perspective?

I usually use Gemini to talk about political matters and to recommend me books and shit like that. I've heard so many people say that in that regard GPT is better and that Gemini excels in coding and developing. Is that the consensus?

Currently working on a few personal fun projects and it's actually insane how much better Claude is for coding than ChatGPT or Gemini. Literally PERFECTLY fulfilled any requests I had WITHOUT ANY ERRORS multiple times in a row. Meanwhile ChatGPT spews out faulty code every now and then and Gemini is just straight garbage. I'm impressed

For anyone curious, the models were just the free ones: Claude 3.5 Sonnet, GPT-4o and Gemini 1.5 Flash (Tried 2.0 Flash Experimental too and it was just as bad)

I'm a non-programmer founder of a startup. I have outsourced my app development. Prefacing to clarify I do not need to use claude for any programming or code generation requirements, and I do not know how to use Claude via API.

I have google one basic pay plan already for my personal gmail.

I used Claude extensively on free plan over last 6-8 months, but I've been frustrated like the rest of the sub with rate limits, which even on my free plan, feel lower and lower.

I mainly used claude for brainstorming - strategy, positioning, business plan, pitch deck, red-hat convo, etc. I used Gemini and Chatgpt as well on same prompts, and generally speaking Claude was much better at deep thinking and strategizing, compared to the other two, which were much better at website copy, etc.

I can definitely say over last 6 months the quality Claude has either remained the same or has a slight decrease in quality of responses, while Gemini and Chatgpt has caught up to even 90% quality responses.

I've read a few recent threads on this sub where users are facing message limits even on pro, but there are some who are using it for coding, and there are some who are suggesting turning off Artifacts / Projects to increase message limit.

I'm getting close to launch in a couple of weeks and need a dedicated virtual co-founder.

So I want to ask whether its worth paying for Claude to over-ride the message limit on the Pro Plan, for a vanilla use case like mine? I want to use it as a high-level strategic thinker / virtual co-founder, multiple times a day in one single long conversation, and my guess is over time the context input tokens requirement, because of a longer conversation, will grow larger and larger.

Again, from what I've read in the other posts people are quite frustrated with Claude limits, so I guess the answer will mostly be "no don't do it", but wondering if there are others who have had a similar use case as mine, and which LLM they ended up using.

Will appreciate any recommendations.

TIA.

Hey everyone, are you using ChatGPT and Gemini? What differences do you find? Which one do you like better? Are there any objective technical explanations for these differences?

Which chat bot has been the most useful with coding for you and why?

GPT4 vs Claude 3 Opus Vs Gemini Ultra vs GitHub Copilot

Also, for those who have tried gpt 3.5 and Claude Sonnet, which of the two do you prefer for coding?

I know there have been a 100 posts about this but I’m really looking to just make a decision and stick with it this time.

I was using ChatGPT for a good amount of time (free and trial of paid), and never thought of or tried any other AIs as it fulfilled my needs, when I wasn't so deep into AI and stuff but over the time I noticed some changes, at first not really but it kept evolving boundaries which annoyed me pretty hard.

I use AI for several purposes, for fun and testing purposes, for tech stuff, general information, artistic ideas, just a little chit chat, fictional story inspiration etc.

The hardest boundaries I noticed in story making, where literally everything kept being flagged as sexual. I mean NORMAL things, not ambigous ones for example.

It went so far that even "He was sitting on his bar stool drinking his whiskey, then he leaned towards her" was flagged as against the guidelines as "sexually possessing". "Hey...I need to stop you right here", like wtf?

Then I noticed it doesn't generate images as requested and they are often out of what they should be. Also its super slow in generating.

Base on that I gave Nano Banana a try with creating some pictures and lost it, damn it made some nearly perfect pictures so quick, I can't say it otherwise.
I got a free trial month of Gemini pro and that was the turning point, where Gemini got me, I was playing around with generating videos, images, info sourcing, chit chats etc. and it was so damn good.

So I tried develop some fictional stories and was baffled that it never stopped or toned down, which made me testing the boundaries to a maximum, I made some custom instructions and to my surprise it accepted them acted exactly how I wanted it to act.

I was curious about any boundaries that exist, especially in adult territory, but it just didn't set any boundaries, and I thought I was dreaming but it really accepted any fictional story I created in my mind even if they are completely 21+ for testing purposes.

It throw me a warning 2 times, but it didn't change the output, it was like an alibi warning.

The only thing it denied was generating videos and pictures of real (famous) people or politicians. Besides that, everything is possible with Gemini.

ChatGPT feels so outdated and backwards after this experience.

I deleted ChatGPT and still use Gemini for all my tasks, while I am absolutely satisfied.

Which have you found to be best in helping with your code? Most accurate and most efficient?

Finally, which do you think is best to use to turn Figma design images to code?

Been a ChatGPT pro user since atleast 7 months. Been using it every single day for coding and other business tasks. I feel a bit sad to say that it has lost is charm to a certain extent. It's not as powerful as I feel Claude is right now. I was not quickly impressed by the claims people were making about Claude but then I went ahead created an account and gave it a couple of problems ChatGPT was struggling with and it handled it with expertise which I instantly felt. Kept using it for a while and for the problems ChatGPT 4o was behaving like 3.5, it gave me solutions which were grounded and clear. Debugging is much more robust with Sonnet.

I hope ChatGPT gets its grip back as it has got more incentives for pro users but since last two days Claude helped me save a couple of hours. I have begun thinking about migration, atleast for a time being. Or keep pro for both tools.

Wanted to put it out there.

Edit: I just subscribed to Claude Pro. Keeping both subscriptions for now. I have a couple of ongoing projects and I believe I have a use case for both. With the limits removed, I have worked on Claude more than ChatGPT, it's not been too long though, around an hour.

I may edit this post again in near future with my findings and for others to decide.

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Edit: January 23rd, 2025.

It's been seven months since I first posted, which seems to rank high for Claude vs ChatGPT searches. I wanted to update on my journey as promised.

After switching from ChatGPT to Claude, I never looked back. My entire coding workflow shifted to Claude, specifically Claude 3.5 Sonnet. I started with Claude Chat directly, but when Cursor emerged, I tried it and found it to be the most efficient way to code using Sonnet. These days, I no longer maintain a Claude subscription and exclusively use Cursor.

I only resubscribed to ChatGPT last month (just one month and no more) for real-time voice chat (language learning). I still use it for basic tasks like grammar checks and searches - essentially as a replacement for Google and as a general AI assistant - but never for coding anymore.

For those finding this through Google: it's now well-established in the dev community that Claude 3.5 Sonnet is the most capable and intelligent coding LLM. Cursor's initial popularity was tied to Claude, but it has evolved into a powerful IDE with features like agent composer and much more.

For non-coders: Claude 3.5 Sonnet is, in my opinion, a far more intelligent and precise tool than GPT-4o and even o1. While I can't list all examples here, for every single non-coding task I've given it, I've received more refined, crafted, and precise responses.

This shift was a game-changer for my productivity and business gains. To tech founders and small teams building products: unless ChatGPT specifically fits your coding needs, consider switching to Cursor. It has literally transformed my business and boosted profits significantly. Grateful to the Claude team for their work.

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Edit: Aug 20, 2025

Almost 6 months after writing the above, I want to update that I'm no longer using Cursor as my IDE, it's Claude Code now. This shift happened almost suddenly in June. Twitter was abuzz about Claude Code being much more powerful than Cursor, but I was reluctant since it's never easy to change your coding environment. But one night I thought, let me ask Claude Code to fix this issue I've been struggling with in Cursor. I loaded up $5 in my Anthropic dashboard, logged into my account with CC, and asked it to figure it out. And man, it was a breath of fresh air. It implemented such an elegant solution that Cursor wouldn't even come close to.

Now here's the kicker, in Cursor I was using the exact same model I used in CC: Sonnet 4. But as most devs know, Cursor uses various approaches to wrap, summarize, RAG and all that complex stuff. This, as many have experienced, ends up dumbing it down considerably. After this incident, I knew there was no going back. Especially when I discovered that you can use the same $20 subscription for both Claude web and Code.

So yeah, Claude Code is my main coding (and general) assistant now. I do use Claude web periodically, but with MCP support and other neat features in CC, it feels like it lives right in your machine rather than having to jump to a browser. And let me emphasize, it is significantly better than Cursor.

About GPT-5? Let me be brutally honest: it's disappointing. Doesn't come close to Claude. It's certainly better than GPT-4, but it feels like it's trying to be clever and intelligent without actually being so. On several occasions it gave me these polished-looking answers that turned out to be completely wrong. It also struggles to follow conversational context. I do use it regularly as a souped-up web search replacement, so it has its place. But the hype? Pure fluff.

I've been subscribing to the pro versions of ChatGPT, Gemini, and Claude to explore their capabilities and compare their responses. After extensive experimentation, I've found that these AI language models produce nearly identical outputs for a wide range of prompts and topics.

At first, I expected to encounter more diversity in their responses, considering they were developed by different organizations. However, the striking similarity suggests that they likely rely on the same or overlapping training data, leading to comparable knowledge and generation patterns.

The main outlier among the three is Gemini, which tends to structure and present its answers in a slightly different manner compared to ChatGPT and Claude (not necessarily in a good way). Nevertheless, when examining the core content of the responses, Gemini's output still aligns closely with the others.

In terms of effectiveness, I've found Claude to be the most capable for the majority of tasks. It comes across as more intelligent and able to solve a task on the first try, whereas ChatGPT can be frustratingly inefficient, often requiring multiple prompts to clarify its mistakes and still delivering subpar results. Claude also seems to excel at interpreting and translating information from images. Although there were a couple of instances where Claude produced the most blatant hallucinations among the three, it performed the best overall.

Despite recognizing Claude's superiority, I still find myself gravitating towards ChatGPT due to habit and familiarity. Additionally, I highly appreciate the GPT app's text-to-voice feature powered by Whisper AI, which is truly remarkable.

This observation raises interesting questions about the current state of AI language models and the potential limitations of relying on similar training datasets. As the field advances, it will be intriguing to see if more diverse and specialized models emerge, offering unique perspectives and capabilities.

I'm curious to hear if others have had similar experiences when comparing these or other AI language models. Have you noticed any significant differences or unique strengths among them? Let's discuss the implications and potential future developments in this space.