Background
Aug 23,2025 – UPDATE
More testing and use of both. Now I can say for certain issue I had with Gemini creating a code is in the past. Not only it started creating much robust codes but idea of showing your code on Canvas makes it easy to troubleshoot and interact with Gemini. See screenshots below


After using the free versions of both ChatGPT and Google Gemini for daily tasks, I decided to test how each performs with the paid or advanced models. The differences go beyond speed—they reflect each platform’s strengths, weaknesses, and intended use cases.
As of August 2025, here’s the big picture:
- ChatGPT (powered by GPT-4o and GPT-4o mini) excels in conversational flow, coding, creative writing, personalization, and plugin support. It can also fetch live data via web search, though its free version is trained only up to June 2024.
- Gemini (running on Ultra, Pro, and Nano models) integrates tightly with Google Workspace, handles massive context windows (up to 1M tokens), and has a more recent knowledge cutoff of January 2025 with live web access by default—making it strong in factual accuracy for current events.
Below are my real-world tests and results.
Example 1: LLC Operating Agreement Review
- Gemini: Refused to review, citing legal restrictions and referring me to an attorney.
- ChatGPT: Reviewed the document, provided constructive feedback, and incorporated requested changes. However, it occasionally missed small edits and placed new clauses in the wrong spot (e.g., after the signature line).
Winner: ChatGPT – It actually engaged with the document and improved it.
Example 2: Creating an Android App Demo
I provided both with a Figma design and instructions, asking for a testable demo.
- Gemini: See above from 8/23
- ChatGPT: Built a complete Android project folder with instructions for Android Studio. I Couldn’t test what was created as I didn’t have Android Studio to compile code. ChatGPT asked me if I would like APK file to install on my phone to test, saying yes I received prompt saying can’t be done!
- Hybrid Solution: I would still consider hybrid solution as each provides different suggestions and improvements.
Winner: ChatGPT – Delivered functional, compilable code.
Example 3: Logo Design
- Gemini: Produced the most refined designs, understood feedback clearly, and improved iteratively.
- ChatGPT: Delivered serviceable logos but lacked the same polish or adaptability to feedback.
Winner: Gemini
Example 4: Google Sheets Integration Test
- Gemini: Failed a basic search across an entire Google Sheet—could only view the active tab, which limits usefulness for analyzing large datasets. This was verified when I asked Gemini why it can’t do that, it admitted to the shortfall.
Example 5: Market Analysis Request
Prompt: “If GACW captured 20% of the mining tire industry, how would this affect their valuation and what’s the probability of going public?”
- Gemini: Produced a thorough analysis in ~30 seconds.
- ChatGPT: Took ~1:45 and initially reported incorrect revenue (showing zero vs. actual > $1M), requiring correction.
Winner: Gemini
Final Verdict
- Google Gemini: Best for stock/company analysis, logo designs and Robust Code Generations. Struggles with document review, and even some Google integrations.
- ChatGPT: Best for coding, document editing, and multi-step problem-solving, with decent design capabilities but weaker stock/company analysis compared to Gemini.
In short: If you need research, market analysis, or visuals, Gemini delivers. If you need hands-on help with building, editing, or creating, ChatGPT is the more reliable partner.
Here’s your comparison in a clear side-by-side table format:
| Test / Use Case | ChatGPT | Google Gemini | Winner |
|---|---|---|---|
| LLC Operating Agreement Review | Reviewed the document, gave constructive feedback, applied edits (though missed a few and misplaced a clause). | Refused to review, referred to legal counsel. | ChatGPT |
| Android App Demo (from Figma) | Built a complete Android Studio project with instructions. Couldn’t produce APK but code was functional. | Faster code generation. With Canvas for troubleshooting | Gemini |
| Logo Creation | Produced serviceable logos but less refined; slower to adapt to feedback. | Created refined, high-quality designs and iterated well on feedback. | Gemini |
| Google Sheets Search | Not tested for this task. | Could only search current tab in spreadsheet, not entire file—limits data analysis. | Neither |
| Market / Stock Analysis | Took longer (~1:45), initially used incorrect revenue data. | Produced detailed, accurate analysis quickly (~30 seconds). | Gemini |
Overall Takeaway
- ChatGPT → Best for coding, document editing, problem-solving.
- Gemini → Best for market analysis, company research, logo creation.
A recent article in our news paper Winnecke money machine marches on in off-year for Evansville mayor brings to memory an article I wrote back in 2015 Why are outsiders giving to Winnecke?
While both have different titles the “meat” of article still same. Every time i hear how politician go for donations and fund raising for their war chest, makes me cringe. Why in the first place we don’t call this for what it is.. BRIBERY in it’s simplest form. If a large donor donates to a Democrat or Republican, he/she wants something in return. Yet bribery in business world is forbidden by the same lawmakers that accept from special interest groups (I mean lobbyist)!
Again, if people feel they “should” buy sponsorship for $2500, why don’t you buy it for better cause! Politician can fight it in arena “News Media” telling us what they stand for and their plans for city, this way we vote based on that criteria. Why would Mayor race cost $1.2 Million/Mayor for each party to get a job that pays $100K? Not to mention they annoying ads and signs everywhere!
Or better yet why don’t we have something similar to Evansville “Guns & Hoses” for Mayor race and sell tickets, maybe inline of Summer/Winter Olympics ?
What I want to see our news paper do, is publish the names of those donors for each party to know who own various politicians.
