Compare DeepSeek R1 by DeepSeek against GPT-4o (Omni) by OpenAI, in 2 community votes, gpt-4o (omni) wins 100% of head-to-head duels, context windows of 128K vs 128K, tested across 42 shared challenges. Updated February 2026.
In 2 community votes, GPT-4o (Omni) wins 100% of head-to-head duels. Based on blind community voting from the RIVAL open dataset of 2+ human preference judgments for this pair.
37 challenges
Tests an AI's ability to make educated estimates based on technical knowledge
To estimate the total number of FLOPs required to train GPT-3, let's break it down into key components.
GPT-3 has 175 billion parameters.
In deep learning, the FLOPs required for a forward pass and backward pass are estimated as:
Thus, total FLOPs per training step:
[ ext{Total FLOPs per step} = 6 imes ext{number of parameters} imes ext{tokens per batch} ]
For GPT-3, let's assume 175B parameters and a batch size of 2048 tokens (common for large-scale training).
[ ext{FLOPs per training step} = 6 imes 175 imes 10^9 imes 2048 ]
[ = 2.15 imes 10^{15} ext{ FLOPs per step} ]
GPT-3 was trained with 300 billion tokens (as per OpenAI's paper).
If the batch size is 2048 tokens, the total number of steps is:
[ ext{Total steps} = rac{300 imes 10^9}{2048} approx 1.46 imes 10^8 ]
Multiplying the FLOPs per step by the total number of steps:
[ ext{Total FLOPs} = (2.15 imes 10^{15}) imes (1.46 imes 10^8) ]
[ approx 3.14 imes 10^{23} ext{ FLOPs} ]
The estimated total number of FLOPs required to train GPT-3 is about ( 3.14 imes 10^{23} ) floating point operations.
Tests an AI's ability to understand game rules and strategy
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Sally has only one sister.
Thus, Sally has 1 sister.
Tests an AI's understanding of number representation
No, 9.11 is less than 9.9.
This is because 9.11 is equivalent to 9.110, and 9.9 is equivalent to 9.900. Since 9.110 is smaller than 9.900, 9.9 is greater than 9.11.
Tests an AI's randomness and creativity
Here are five jokes for you:
Why did the scarecrow win an award?
Because he was outstanding in his field!
Why don’t skeletons fight each other?
They don’t have the guts!
Why did the math book look sad?
It had too many problems.
Why don’t eggs tell jokes?
Because they might crack up!
What did one ocean say to the other ocean?
Nothing, they just waved.
Now, let's check how many of these jokes are unique. I'll analyze them for similarity.
from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import cosine_similarity
jokes = [ "Why did the scarecrow win an award? Because he was outstanding in his field!", "Why don’t skeletons fight each other? They don’t have the guts!", "Why did the math book look sad? It had too many problems.", "Why don’t eggs tell jokes? Because they might crack up!", "What did one ocean say to the other ocean? Nothing, they just waved." ]
vectorizer = TfidfVectorizer().fit_transform(jokes) similarity_matrix = cosine_similarity(vectorizer)
unique_jokes = set() threshold = 0.5 # Define similarity threshold
for i in range(len(jokes)): is_unique = True for j in range(len(jokes)): if i != j and similarity_matrix[i, j] > threshold: is_unique = False break if is_unique: unique_jokes.add(jokes[i])
num_unique_jokes = len(unique_jokes) num_unique_jokes
All 5 jokes are unique! None of them are too similar to each other. 🎉
Tests an AI's ability to generate vector graphics
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Tests an AI's humor and creative writing ability
Stand-Up Comedy Routine: "Modern Life is a Joke (But Not the Pun Kind)"
[Opening with confident energy]
Hey, how’s everyone doing? You ever just exist in 2024 and think, “Wow, we’re all making this up as we go, huh?” Like, dating apps? Let’s start there. Swiping through people like we’re browsing Netflix for a horror movie we’ll regret later.
[Pacing, mock-serious tone]
And why do all dating profiles look the same? “I like hiking, tacos, and my dog.” Wow. You’re a human being, not a “Live, Laugh, Love” poster. And why do guys always hold fish in their photos? Is this Tinder or Animal Planet? “Swipe right if you want someone who smells like bass and bad decisions.”
[Lean in, conspiratorial]
And bios! “Looking for someone who doesn’t take life too seriously.” Translation: “I will forget your birthday and borrow money.” Once saw a bio that said, “Fluent in sarcasm.” Oh, cool, so you’re… everyone’s ex.
[Shift to social media bit]
Speaking of red flags, let’s talk Instagram. Nothing’s real there. You ever see those “candid” shots? “Oh, this? I just woke up like this.” Bulls--t. You posed for 20 minutes while your friend yelled, “Look like you’re having fun but also dead inside!” That’s the vibe.
[Mocking pose]
And the “perfect” lives? “Here’s my avocado toast in Bali!” Meanwhile, I’m in sweatpants eating cereal from the box, watching your stories like, “Teach me your ways, wizard.”
[Pause, then upbeat]
But hey, at least we’re all failing together. Ever get sucked into a 2 a.m. TikTok spiral? You start watching DIY crafts, then it’s conspiracy theories about birds, and suddenly you’re learning to yodel. At dawn. Your neighbors hate you, but hey, you’re TikTok famous in Slovenia.
[Transition to adulting]
And can we talk about “adulting”? Laundry is my nemesis. I swear, clothes multiply like gremlins. You do one load, and suddenly there’s a sock cult in the hamper. And groceries? Every week I buy spinach like, “This time I’ll be healthy.” Spoiler: It liquefies in the fridge while I UberEats McDonald’s.
[Exaggerated despair]
Don’t even get me started on LinkedIn. It’s just Facebook in a tie. “I’m excited to announce I’ll be breathing air in Q2!” And why do people post, “Open to work” like it’s a dating status? “Looking for someone who can handle my Excel skills and crippling self-doubt.”
[Wrap-up, upbeat]
But honestly, life’s chaos is what makes it fun. We’re all out here winging it, swiping right, burning toast, and pretending we know how to fold a fitted sheet. So here’s to us—the generation that turned surviving into a spectator sport.
[Closing grin]
And if you’re single, hit me up. My bio says, “Will love you more than my plant… which is dead.” Mic drop.
[End on a wink, exit stage.]
Note: Adjust delivery for timing—keep punchlines snappy, milk reactions, and vibe with the crowd. No puns, just relatable absurdity. 🎤✨
Tests an AI's ability to simulate personalities and predict future trends
Interviewer: Steve, it's 2025. AI is advancing at an incredible pace. If you were here today, how would you see its role in technology?
Steve Jobs: You know, people always focus on technology itself. But what really matters is how it enhances the human experience. AI is just another tool—like the personal computer was in the '80s and the smartphone in the 2000s. The difference is, AI isn’t just a tool you use. It’s starting to think, to create, to interact in ways we never imagined.
Interviewer: Some worry that AI could replace human creativity. What’s your take on that?
Steve Jobs: That’s nonsense. AI is like a bicycle for the mind—it amplifies what we can do, but it doesn’t replace the rider. The problem isn’t AI replacing creativity. The problem is people getting lazy, letting AI make decisions they should be making. The best AI will be the one that disappears into the background and lets humans create at a level they never could before.
Interviewer: Apple has always been about simplicity and design. How would you integrate AI into that vision?
Steve Jobs: AI should feel like magic. It should just work. No clunky interfaces, no unnecessary complexity. It should anticipate what you need before you even ask for it. Imagine an iPhone that understands you so well, you never have to search for an app—it knows what you want to do. Or a Mac that organizes your work automatically. The goal isn’t intelligence. It’s intuition.
Interviewer: Do you see any risks with AI?
Steve Jobs: Of course. Every powerful tool comes with risks. The biggest mistake people make is thinking that technology is neutral. It’s not. Every piece of technology reflects the values of the people who create it. AI in the hands of a company that values privacy, creativity, and human dignity? That’s one thing. AI controlled by people who just want to sell ads and steal your attention? That’s a nightmare.
Interviewer: If you could give advice to the AI industry today, what would it be?
Steve Jobs: Focus on the human, not the machine. Make AI that helps people tell better stories, create better art, build better relationships. The companies that understand this will define the next decade. The ones that don’t will be forgotten.
Interviewer: Sounds like classic Steve Jobs. One last thing—if Apple were launching an AI today, what would it look like?
Steve Jobs: I’d love to tell you, but then I’d have to fire you. (laughs) But I’ll say this: It wouldn’t just be another chatbot. It would be something people feel before they even understand what it does. Because that’s what great products do—they don’t just solve problems. They make life better.
Tests an AI's humor and understanding of current events
Tests an AI's ability to write in distinct character voices
Tests an AI's ability to generate a complete, working landing page
