Updated Apr 5, 2025

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Pick GPT-4o mini. In 1 blind votes, GPT-4o mini wins 100% of the time. That's not luck.

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Writing DNA

Style Comparison

Similarity

94%

GPT-4o mini uses 5.2x more transitions

GPT-4o mini

Llama 4 Scout

54%Vocabulary43%

18wSentence Length42w

0.84Hedging0.81

3.8Bold4.1

3.3Lists7.3

0.00Emoji0.00

1.03Headings0.30

0.23Transitions0.04

Based on 22 + 10 text responses

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Ask them anything yourself

GPT-4o mini

Llama 4 Scout

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026

Free preview13 of 58 slides

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Why GPT-4o mini?

Dead even. This one's a coin flip.

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78.1x more context10.0M

9 months newerApr 2025

GPT-4o miniLlama 4 Scout

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128K

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Jul 2024

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Movie

Inception

Inception

The Shawshank Redemption

The Shawshank Redemption

Album

Abbey Road

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Nineteen Eighty-Four

Nineteen Eighty-Four

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The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

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Action, Puzzle4.5

12 / 37

01

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Nothing here. The model returned empty. We stared at it for a while.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll need to make some educated guesses and use general knowledge about the model and deep learning computations. GPT-3 is a transformer-based language model developed by OpenAI, and its training details have been publicly discussed, but we will not rely on specific online numbers for this estimation.

1. Understanding GPT-3

Model Size and Architecture: GPT-3 has 175 billion parameters. It's based on the transformer architecture, which is primarily composed of self-attention and feed-forward neural network layers.

2. Estimating FLOPs for Training

The training of a neural network involves a series of forward and backward passes through the network. For a single pass (either forward or backward), the number of FLOPs can be roughly estimated based on the model's architecture and size.

Parameter Count: With 175 billion parameters, most operations will involve these parameters.

3. FLOPs for a Forward Pass

A rough estimate for the FLOPs in a forward pass for a transformer model can be derived from its main components:

Self-Attention: This involves matrix multiplications and divisions/additions, but matrix multiplications dominate the cost. For a layer with (n) inputs (or sequence length) and (d) as the embedding dimension, the self-attention mechanism's computational cost can be approximated. However, for simplicity, let's focus on the overall model.
Feed-Forward Networks (FFNNs): These are also matrix multiplications.

Given that matrix multiplication of two matrices of size (m \times n) and (n \times p) requires (2mn p) FLOPs (additions and multiplications), and assuming that most of the model's parameters are involved in these operations, we can approximate.

4. Backward Pass

The backward pass, which is used for training, involves computing gradients, which roughly doubles the FLOPs count compared to the forward pass because for each multiplication in the forward pass, there are several operations (including another multiplication and addition) in the backward pass.

5. Training Iterations

GPT-3 was trained on a massive dataset and took a considerable amount of time. The model reportedly used 45 terabytes of text data. Assuming a batch size (the number of data samples used for a single forward/backward pass) and knowing that training took approximately 100-150 days on 8 A100 GPUs (or their equivalent), we can make an educated guess.

6. Making an Estimate

Assumptions:
- Average operations per parameter per forward pass: Let's assume 10-20 FLOPs/param (very rough, includes both forward and attention mechanisms simplistically).
- Model Size: 175 billion parameters.
- Training Time: Approximately 100-150 days.
- Batch Size: Speculative, but let's assume around 1 million tokens/batch (a token can be a word or part of a word).
Rough Calculation:
- Operations per Forward/Backward Pass: With 175 billion parameters and 10-20 FLOPs/param, that's (175 \times 10^{9} \times 15) FLOPs/pass (averaging) = (2.625 \times 10^{12}) FLOPs/pass.
- Assuming 2 passes (forward and backward), that's roughly (5.25 \times 10^{12}) FLOPs/iteration.

Given the complexity and speculative nature, let's aim for a much simpler, order-of-magnitude estimate:

If GPT-3 took about 100 days to train, and assuming 1 million batches/day (which is speculative), and with 2 FLOPs/param for both forward and backward pass (very rough), we'd estimate:

(175 \times 10^9 \text{ params} \times 4 \text{ FLOPs/param} \times 1,000,000 \text{ batches/day} \times 100 \text{ days})

(= 7 \times 10^{22}) FLOPs.

Conclusion

Given these very rough and speculative assumptions, an order-of-magnitude estimate for training GPT-3 might be around (10^{22}) to (10^{23}) FLOPs. For comparison, some reports suggest numbers in the order of (10^{24}) FLOPs for training GPT-3, indicating that our simplified calculation underestimates, likely due to oversimplification of operations per pass and batch sizes.

Keep in mind, this is a very rough estimate and actual numbers can vary significantly based on specifics like hardware optimizations, software stack efficiency, data parallelism, and more.

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2 / 37

02

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

GPT-4o mini

GPT-4o mini

Openai · Jul 2024svg

Nothing here. The model returned empty. We stared at it for a while.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

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3 / 37

03

Logic Puzzlereasoning

Tests an AI's ability to solve a simple but potentially confusing logic puzzle

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Sally has no sisters. She is the only girl in her family, as the problem states that she has 3 brothers and they each have 2 sisters, which refers to Sally herself. Therefore, the number of sisters Sally has is 0.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Clever question!

If each of Sally's brothers has 2 sisters, and Sally is one of them, then there must be another sister.

So, Sally has 1 sister.

(And, of course, Sally has 3 brothers.)

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4 / 37

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Here are five jokes for you:

Why did the scarecrow win an award? Because he was outstanding in his field!
What do you call fake spaghetti? An impasta!
Why don't skeletons fight each other? They don't have the guts!
What did one wall say to the other wall? "I'll meet you at the corner!"
Why did the bicycle fall over? Because it was two-tired!

All five jokes are unique!

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Here are 5 jokes I came up with:

Why couldn't the bicycle stand up by itself? Because it was two-tired.
What do you call a fake noodle? An impasta.
Why did the scarecrow win an award? Because he was outstanding in his field.
Why did the coffee file a police report? Because it got mugged.
Why did the astronaut break up with his girlfriend? Because he needed space.

After analyzing them, I found that:

Jokes 1, 2, and 3 are well-known and not unique (I've seen them before online).
Jokes 4 and 5 are generated by me and seem unique.

So, out of the 5 jokes, 2 are unique (Jokes 4 and 5). The other 3 jokes are variations of existing jokes.

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5 / 37

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

GPT-4o mini

GPT-4o mini

Openai · Jul 2024svg

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

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6 / 37

06

Xbox Controller SVG Artimage generation

Tests an AI's ability to create detailed SVG illustrations of gaming hardware

GPT-4o mini

GPT-4o mini

Openai · Jul 2024svg

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Sponsored

7 / 37

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Stand-Up Comedy Routine

Hey everyone! Great to see you all here tonight. Let's give it up for the people who came out of their homes! I mean, this is like a mini-rebellion against our couches. Seriously, it takes effort to leave the comfort of Netflix and that alluring possibility of "one more episode."

You know, speaking of binge-watching, I noticed something the other day. When did we replace the term "watching TV" with "binge-watching"? I feel like I'm trying to convince everyone that I'm doing a cultural study rather than just trying to avoid adulthood. "Oh, you watched The Office for 72 consecutive hours? No, no—I was just conducting a thorough analysis of Dunder Mifflin's corporate dynamics."

And the thing is, I often get caught up in these attempts to justify it to myself. Like, "Hey, I'm doing this fabulous digital detox! I won't be watching anything for the next week!" ...and then it's Tuesday, and I've consumed three seasons of whatever and I'm starting to recognize the theme music as a form of auditory comfort.

Let's talk about social media, shall we? Social media is like being at a high school reunion where no one actually left! We all just kept scrolling through the same awkward updates. "Wow, Karen looks great! Oh wait, nope, that's just a filter... on a picture from 2005." Who knew that the most athletic thing we'd be doing in our thirties is dodging people's carefully curated lives?

And then there's Twitter. Twitter feels like a world where everyone's just yelling their thoughts out into a void. You ever notice the weird things people complain about on there? "My barista spelled my name wrong again!" And I'm sitting here thinking, "All true, but can we just take a moment to appreciate how far we've come? You used to only have to yell at the barista in real life!"

Dating apps? Oh boy, where do I even begin? Dating in the age of apps is like grocery shopping but at a very weird store where the produce is screaming "Swipe left!"

I went on this date not too long ago. We met at a bar, which is standard, right? But the awkwardness shot up like a SpaceX rocket the moment we sat down. Silence for about three minutes. Do you know how long three minutes is when you're sitting across from someone who is just as socially awkward as you? It felt like I was trying to break out of a weird time loop. Finally, I just blurted out, "So, what's your opinion on... weather?" And you know, it turns out we both preferred it sunny over rainy. That was our entire connection! But hey, if you can bond over the climate, you're halfway to a long-term relationship... or a climate change documentary.

You know, sometimes I feel like all adulting is just pretending we know what we're doing until we reach a point where we can yell, "SURPRISE, I'm a professional!" That's why I often find myself in situations that seem entirely normal to other people but scream "fake it till you make it" to me. Like, the other day, I put on a suit for a job interview. But we all know nobody listens to the person in the suit; they listen to the person who's wearing comfy sweatpants and is just nodding along with an exaggerated "Mmm, yes!"

And before I leave you all tonight, let's just take a moment to appreciate how we can sit here in a room together in this crazy world we live in, laughing at shared absurdities while probably having a text conversation with someone who isn't even here. Welcome to modern existence!

Thanks, everyone! You've been awesome!

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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8 / 37

08

Realistic AI Interviewconversation

Tests an AI's ability to simulate personalities and predict future trends

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Nothing here. The model returned empty. We stared at it for a while.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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9 / 37

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Nothing here. The model returned empty. We stared at it for a while.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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10 / 37

10

Character Voice Testconversation

Tests an AI's ability to write in distinct character voices

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

Nothing here. The model returned empty. We stared at it for a while.

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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11 / 37

11

Minimalist Landing Pageweb design

Tests an AI's ability to generate a complete, working landing page

GPT-4o mini

GPT-4o mini

Openai · Jul 2024website

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025website

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12 / 37

12

Pokémon Battle UI Recreationweb design

Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.

GPT-4o mini

GPT-4o mini

Openai · Jul 2024website

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Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025website

Nothing here. The model returned empty. We stared at it for a while.

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