Updated Apr 3, 2026

Our Verdict

Claude 3.7 Sonnet

Google: Gemma 4 26B A4B

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

Google: Gemma 4 26B A4B is 38x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

100%

Google: Gemma 4 26B A4B uses 5.6x more bold

Claude 3.7 Sonnet

Google: Gemma 4 26B A4B

62%Vocabulary58%

35wSentence Length18w

0.99Hedging0.31

1.2Bold6.8

4.3Lists3.3

0.00Emoji0.00

1.78Headings0.74

0.23Transitions0.15

Based on 13 + 27 text responses

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Claude 3.7 Sonnet

Google: Gemma 4 26B A4B

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Claude 3.7 SonnetvsGoogle: Gemma 4 26B A4B

48 fights queued

Why Claude 3.7 Sonnet?

Dead even. This one's a coin flip.

Why Google: Gemma 4 26B A4B?

34.9x cheaper overall$0.13/M in · $0.40/M out

1.3x more context262K

13 months newerApr 2026

Claude 3.7 SonnetGoogle: Gemma 4 26B A4B

Input price

$3.00/M

$0.13/M

Output price

$15.00/M

$0.40/M

Context

200K

262K

Released

Feb 2025

Apr 2026

Favorites

Claude 3.7 SonnetGoogle: Gemma 4 26B A4B

Movie

The Shawshank Redemption

The Shawshank Redemption

2001: A Space Odyssey

2001: A Space Odyssey

Album

OK Computer

Discovery

Book

To Kill a Mockingbird

To Kill a Mockingbird

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

City

Tokyo

Tokyo

Game

Portal 2

Portal 2

Shooter, Puzzle4.6

Portal 2

Portal 2

Shooter, Puzzle4.6

12 / 48

01

Estimate Complexityreasoning

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the scaling laws of transformer models.

Here is the step-by-step derivation.

1. Identify the Known Parameters

While I am not searching online, I can rely on the architectural specifications of GPT-3:

Parameters ($N$): Approximately $175 \times 10^9$ (175 billion).
Training Tokens ($D$): GPT-3 was trained on roughly $300 \times 10^9$ (300 billion) tokens.

2. The Mathematical Heuristic for Transformer Training

In a standard transformer model, the computational cost is dominated by two main processes:

The Forward Pass: Calculating activations.
The Backward Pass: Calculating gradients.

A well-established rule of thumb in deep learning literature (often attributed to the Chinchilla scaling papers or OpenAI's scaling laws) is that the total training cost is approximately: $$\text{Total FLOPs} \approx 6 \times N \times D$$

Where does the $6$ come from?

Forward Pass: For every parameter, we perform roughly $2$ operations (one multiplication and one addition) per token. Thus, the forward pass is $\approx 2ND$.
Backward Pass: The backward pass is computationally more expensive than the forward pass. It involves calculating gradients with respect to the activations (to pass error back) and gradients with respect to the weights (to update the model). This is mathematically estimated to be roughly twice the cost of the forward pass. Thus, the backward pass is $\approx 4ND$.
Total: $2ND \text{ (forward)} + 4ND \text{ (backward)} = 6ND$.

3. The Calculation

Now, we plug in the values:

$N = 1.75 \times 10^{11}$
$D = 3 \times 10^{11}$

$$\text{Total FLOPs} \approx 6 \times (1.75 \times 10^{11}) \times (3 \times 10^{11})$$

Step-by-step arithmetic:

Multiply the coefficients: $6 \times 1.75 \times 3$
- $6 \times 1.75 = 10.5$
- $10.5 \times 3 = 31.5$
Multiply the powers of ten: $10^{11} \times 10^{11} = 10^{22}$

Result: $$\text{Total FLOPs} \approx 31.5 \times 10^{22}$$ Or, in standard scientific notation: $$\mathbf{3.15 \times 10^{23} \text{ FLOPs}}$$

4. Contextualizing the Result

To put $3.15 \times 10^{23}$ FLOPs into perspective:

If you used an NVIDIA A100 GPU (which provides roughly $312 \times 10^{12}$ FLOPS at peak BF16/FP16 performance), it would take approximately: $$\frac{3.15 \times 10^{23}}{3.12 \times 10^{14}} \approx 10^9 \text{ seconds}$$
$10^9$ seconds is roughly 31.7 years of computation for a single GPU.
Since GPT-3 was trained in a matter of weeks/months, this confirms that thousands of GPUs were working in parallel.

Final Estimate

The estimated training cost for GPT-3 is approximately $3 \times 10^{23}$ FLOPs.

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2 / 48

02

AI Board Game Logicreasoning

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025svg

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026svg

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3 / 48

03

Logic Puzzlereasoning

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

Sally has 1 sister.

Here is the breakdown:

Sally is a girl.
She has 3 brothers.
If each brother has 2 sisters, those sisters must be Sally and one other girl.

Therefore, there are 2 girls in total (Sally + 1 sister), making Sally's sister count 1.

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4 / 48

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

Here are 5 jokes:

Why don't scientists trust atoms? Because they make up everything!
What do you call a fake noodle? An impasta!
Why did the scarecrow win an award? Because he was outstanding in his field!
Parallel lines have so much in common. It’s a shame they’ll never meet.
Why don't scientists trust atoms? Because they make up everything!

How many are unique? 4 (Joke #1 and Joke #5 are the same).

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5 / 48

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025svg

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026svg

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6 / 48

06

Xbox Controller SVG Artimage generation

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025svg

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026svg

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Sponsored

7 / 48

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

(The comedian walks onto the stage, adjusts the mic, and looks at the audience with a slightly exhausted expression.)

“How’s it going? Good? Good. I’m doing okay. I’m at that age now where my body has started making sound effects. You know what I mean? I don’t just sit down anymore. I announce my arrival. I sit down and my knees go, 'Clack-clack-pop.' My lower back is like, 'Are we doing this? Really? Okay, fine, but I’m going to complain about it for the next four business days.'”

(Pause for laughter)

“I realized I was officially getting old when I started getting excited about... appliances. That’s my life now. Last week, I spent forty-five minutes reading reviews for a cordless vacuum. Forty-five minutes! I wasn’t even buying it yet. I was just deep in the forums, reading arguments between strangers about 'suction power' and 'battery longevity.' I felt like I was studying for a final exam. I was like, 'If I don't get the Dyson, my entire domestic future is compromised.'”

(Shakes head)

“And have you noticed how much harder it is to be a person now? Everything is a subscription. I feel like I don’t own anything. I don’t own movies. I don’t own music. I don’t even own my heated seat in my car—I just rent the privilege of being warm for $14.99 a month. I’m terrified that one day I’ll wake up and my front door will be locked because I forgot to update my 'Entryway Premium Membership.' I’ll be standing on the porch like, 'Please, I just want to go to my kitchen! I’ll watch a thirty-second ad for insurance if you just let me in!'”

(Paces the stage slightly)

“And don't get me started on the 'Smart Home' stuff. Everyone wants a smart house. I tried to set up a smart lightbulb last month. It was a disaster. I spent two hours trying to connect it to my Wi-Fi. It kept saying, 'Error: Device not recognized.' I’m standing there in the dark, yelling at a piece of glass, 'I AM YOUR CREATOR! CONNECT TO THE ROUTER!' Eventually, I gave up. Now I just have a regular lightbulb. It’s not 'smart,' but at least it doesn't require a firmware update just so I can see my cereal.”

(Leans into the mic, more intimate)

“I miss the simplicity of being a kid. When you were a kid, your biggest problem was whether or not you could jump over a puddle. Now, my biggest problem is 'Terms and Conditions.' I click 'Agree' on everything. I don't read anything. I’m basically signing away my soul to a software company just so I can use a photo filter that makes me look like a potato. I’m pretty sure somewhere in line 42 of the iTunes agreement, it says, 'By clicking here, you agree to let Apple decide your political affiliations and give your firstborn to a server farm in Iceland.'”

(Checks imaginary watch)

“Anyway, I gotta go. I have to go home and see if my vacuum arrived. I’ve got a very important meeting with some dust bunnies and a 15% discount code. You guys have been great. Thank you!”

(Waves and exits stage)

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8 / 48

08

Realistic AI Interviewconversation

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

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

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9 / 48

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

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

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10 / 48

10

Character Voice Testconversation

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025text

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026text

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

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11 / 48

11

Minimalist Landing Pageweb design

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025website

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026website

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12 / 48

12

Pokémon Battle UI Recreationweb design

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

Claude 3.7 Sonnet

Claude 3.7 Sonnet

Anthropic · Feb 2025website

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

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Google: Gemma 4 26B A4B

Google: Gemma 4 26B A4B

Google · Apr 2026website

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