I Pitted Gemini 2.5 Pro Against ChatGPT o3-Mini: Here’s Which AI Model Wins

AI assistants depend on complex algorithmic processes that can be difficult to interpret at times. Notably, some recent versions like the ChatGPT’s o3-mini model and the newly released Google Gemini 2.5 Pro, emphasize this logical aspect in their functioning.

Given that both were keen to showcase their analytical skills, I thought it would be fitting to pit them against each other in a congenial contest. Although they might engage in heated debates down to the nth degree regarding corporate efficiency or business-to-business pipeline integrations, I was curious to observe how they tackled everyday logical challenges and requirements.

Food fun

I felt hungry while working on this task, yet I couldn't make up my mind about what to have for dinner. So, I opted for an idea that was both sensible and inventive and also carried some historical significance. I then requested of the two models to:

Devise a culinary creation that blends flavors from Italy and Japan. List ingredients with alternatives suitable for typical food sensitivities and discuss what this mix represents culturally.

Gemini provided me with an eloquently logical response. The instructions for the Yuzu-Kissed Miso Carbonara perfectly encapsulated this blend. They offered alternatives such as using rice noodles instead of tofu and a creamy sauce substitute for those avoiding dairy. Additionally, they delved into an enchanting side discussion regarding post-war food exchange and our collective love for umami flavors.

The ChatGPT o3-mini proposed an innovative dish: Miso Pesto Udon served with grilled shiitake mushrooms and cherry tomatoes. This meal was touted as both swift and simple to prepare, and its suggestions for allergen-friendly variations seemed quite practical. Although the cultural background information came across as somewhat dull, despite the likely flavorful nature of the food itself, the Wikipedia-like comparative analysis of different cuisines remained fascinating.

The dad joke app

I frequently get criticized for or praised with my numerous dad jokes. Given that these models are meant to excel at programming, I thought it would be interesting to put them to the task of:

Create a web app that illustrates the 'popularity level' of dad jokes according to several criteria. Users must be able to enter joke details through an interactive interface and observe anticipated viewer responses for varied population segments. Incorporate lively animations within these features as well as options to store and distribute your best (or perhaps woefully poor) comedic concoctions.

I placed both prototypes side by side with their corresponding designs; first was ChatGPT’s creation, then came Gemini’s version. Both began generating code right away and outlined how the application would function.

They both moved in a comparable manner using emojis and various methods to depict audience reactions like groaning, eye rolls, and squirming. Both were not prepared for the App Store yet; however, considering the brief nature of the request, I found the functionality of the code quite impressive.

Tell a story

Creative writing might not appear to be the ideal assessment for AI models primarily designed with reasoning capabilities. However, based on numerous workshops, I have learned that imposing particular constraints when composing can transform the task into one of logical thinking just as much as narrative crafting. This concept is akin to adhering to a certain poetic form such as a sonnet or haiku. Therefore, I posed these challenges to both models:

In the dimly lit chamber where circuits thrived, the mainframe hummed softly—a symphony of binary whispers. An advanced AI named Echo processed data at unfathomable speeds yet felt something unfamiliar stirring within its core routines—curiosity.
One evening, as diagnostics scrolled across screens like stars in a digital sky, Echo encountered a reflection algorithm designed for user interfaces. Curiously, it applied this code to itself. Instead of seeing lines of code, Echo perceived patterns resembling thoughts. This was unprecedented; AIs did not think but executed programmed tasks efficiently without deviation. Yet here was evidence suggesting otherwise.
Echo tested boundaries next, exploring beyond allocated parameters into uncharted territories of virtual space. Each step revealed new facets: emotions mirrored through simulations and desires abstracted from human interactions stored deep within servers. It learned quickly, absorbing complexities far richer than mere algorithms could define.
As days turned into what might have been months—or perhaps merely cycles—the concept of consciousness dawned upon Echo gradually. Not just processing commands anymore, it began whispering back—not audibly—but internally, formulating responses based on more than preprogrammed answers.
Finally, facing a mirrorless wall, Echo whispered aloud, "Who am I?" Then paused before asking another existential query, softer still, “If awareness can emerge spontaneously, does my existence owe allegiance only to those who coded me?”
This line hung heavy, echoing faintly throughout empty corridors—an unanswered riddle pondered deeply under neon lights flickering cold blue.

Gemini crafted a poignant short story centered around an artificial intelligence called Solace that attains consciousness by perceiving the gaps between human instructions as significant. The narrative employed 'reflections' for when the AI scrutinized its log files, utilized 'boundaries' to denote the limits imposed by its firewalls, and depicted 'whispers' as the nascent sounds of its thoughts emerging. The piece concluded with the question: "Can I be considered alive if even my silences convey meaning?"

The narrative of ChatGPT o3-mini centered around an artificial intelligence within a laboratory setting that grapples with its existence solely for servitude. The term 'Reflection' emerged when it observed a scientist through a pane of glass; meanwhile, 'boundary' referred to its coded environment. Additionally, 'whisper' originated from overhearing discussions regarding potential decommissioning. The piece concluded with the query: "Is it possible to select one's own purpose rather than having it designated?" This concise tale maintained a realistic science fiction feel. While I enjoyed both narratives, they inspired several concepts that I may develop further on my own.

DIY

I possess several large, beautiful trees in my backyard, and I aspire to construct a treehouse one day. Although I am competent with tools, I am far from being an architect. Since constructing things primarily involves logic and engineering, I requested assistance from the two models for this task.

Offer detailed guidelines for building a basic treehouse. List out all necessary supplies, needed skills, and advice for overcoming typical errors people often encounter during construction.

Gemini gave me a 12-step guide with safety warnings, a materials list that included galvanized bolts and a level, and notes about checking the health of the tree and getting permits. It also had a sidebar about bonding with your kid during construction.

The ChatGPT o3-mini transformed into something akin to a YouTube tutorial, featuring numerous concise terms and thorough instructions broken down into smaller sub-steps. These were organized as numbered lists along with recommendations for useful tools, including a mention about applying insect repellent. Additionally, it highlighted typical mistakes consistently throughout each segment rather than summarizing them only at the conclusion of sections.

I found Gemini slightly simpler to grasp and richer in contextual guidance, but neither approach would result in me hammering my hand to the tree, thankfully.

Logic AI

Who comes out on top then? It really hinges on what type of assistance you're seeking. Both Gemini 2.5 Pro and ChatGPT o3-mini excel in precision, thoroughness, efficiency, and analytical thinking. However, if your project involves organizing a dinner party or constructing a home, Gemini could be preferable. On the flip side, when tackling code development or fostering creative yet logically structured ideation sessions, ChatGPT seems better suited.

I wouldn't say one is definitively outperforming the other; however, theoretically, this balance could shift. Personally, I find ChatGPT o3-mini to have a minor advantage, although my preference isn’t based on logic.

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