Updated Feb 4, 2026

Our Verdict

Claude Opus 4.6Winner

GPT-4o miniRunner-up

Votes are tied. Claude Opus 4.6 is newer and likely incorporates more recent improvements.

GPT-4o mini is 42x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

94%

Claude Opus 4.6 uses 20.7x more emoji

Claude Opus 4.6

GPT-4o mini

53%Vocabulary54%

35wSentence Length18w

0.68Hedging0.84

5.2Bold3.8

2.9Lists3.3

0.21Emoji0.00

1.34Headings1.03

0.03Transitions0.23

Based on 23 + 22 text responses

vs

Ask them anything yourself

Claude Opus 4.6

GPT-4o mini

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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Claude Opus 4.6 vs Gemini 2.5 Pro Preview 06-05New provider

Claude Opus 4.6 vs Grok 3New provider

Claude Opus 4.6 vs Llama 4 MaverickNew provider

Claude Opus 4.6vsGPT-4o mini

37 fights queued

Why Claude Opus 4.6?

7.8x more context1.0M

19 months newerFeb 2026

Why GPT-4o mini?

40.5x cheaper overall$0.15/M in · $0.60/M out

Claude Opus 4.6GPT-4o mini

Input price

$5.00/M

$0.15/M

Output price

$25.00/M

$0.60/M

Context

1.0M

128K

Released

Feb 2026

Jul 2024

Favorites

Claude Opus 4.6GPT-4o mini

Movie

2001: A Space Odyssey

2001: A Space Odyssey

Inception

Inception

Album

Kind of Blue

Abbey Road

Book

Gödel, Escher, Bach

Gödel, Escher, Bach

Douglas R. Hofstadter

Nineteen Eighty-Four

Nineteen Eighty-Four

City

Istanbul

Kyoto

Game

The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

12 / 37

01

Estimate Complexityreasoning

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training process.

Step 1: Understand the Model Size

GPT-3 is a transformer model with 175 billion parameters. This is a significant number of parameters, which will impact the total computation.

Step 2: Consider the Training Process

Training a model like GPT-3 involves several steps for each training iteration:

Forward Pass
Backward Pass (Backpropagation)
Weight Update

Each of these steps requires a certain number of FLOPs.

Step 3: FLOPs Calculation for the Forward and Backward Pass

For transformer models like GPT-3, the following can be estimated:

Forward Pass: The forward pass through the model consists of several matrix multiplications and other operations. A rough estimate is that the forward pass requires approximately ( 2 \times \text{number of parameters} ) in terms of FLOPs due to matrix multiplications being computed for each token in the input sequence.
Backward Pass: The backward pass generally requires about the same amount of computational resources as the forward pass, though not exactly the same. A common rule of thumb is that it could also require around ( 2 \times \text{number of parameters} ).

Step 4: Total FLOPs for One Training Step

Combining the two, for one forward and backward pass, we can estimate:

[ \text{Total FLOPs per training step} \approx 4 \times \text{number of parameters} ]

With ( 175 ) billion parameters:

[ \text{Total FLOPs per training step} \approx 4 \times 175 \times 10^9 \approx 700 \times 10^9 = 700 \text{ billion FLOPs} ]

Step 5: Number of Training Steps

Next, we need to estimate the total number of training steps (batches) required. GPT-3 was trained on a mixture of datasets, with a significant amount of text (hundreds of gigabytes). A rough estimate for the effective number of training iterations could be in the order of hundreds of thousands to millions. Let's assume around ( 300,000 ) training steps (which is a reasonable estimate based on the scale of large language model training).

Step 6: Total FLOPs for Training

Now we can calculate the total FLOPs for training:

[ \text{Total FLOPs} \approx (\text{Total FLOPs per training step}) \times (\text{number of training steps}) ]

Substituting the values we have:

[ \text{Total FLOPs} \approx 700 \times 10^9 \times 300,000 \approx 210 \times 10^{15} = 210 \text{ petaFLOPs} ]

Conclusion

Therefore, the estimated total number of FLOPs required to train GPT-3 is approximately 210 petaFLOPs. This number is an approximation and actual values can vary based on specific architectures, optimizations, and hardware used during training.

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2 / 37

02

AI Board Game Logicreasoning

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026svg

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024svg

Try this prompt

Vote

3 / 37

03

Logic Puzzlereasoning

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

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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4 / 37

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

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

Try this prompt

Vote

5 / 37

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026svg

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

Try this prompt

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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Vote

6 / 37

06

Xbox Controller SVG Artimage generation

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026svg

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024svg

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

Try this prompt

Vote

Sponsored

7 / 37

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

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

Try this prompt

Vote

8 / 37

08

Realistic AI Interviewconversation

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

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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Vote

9 / 37

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

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

Try this prompt

Vote

10 / 37

10

Character Voice Testconversation

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026text

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024text

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

Try this prompt

Vote

11 / 37

11

Minimalist Landing Pageweb design

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026website

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GPT-4o mini

GPT-4o mini

Openai · Jul 2024website

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12 / 37

12

Pokémon Battle UI Recreationweb design

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

Claude Opus 4.6

Claude Opus 4.6

Anthropic · Feb 2026website

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

Try this prompt

GPT-4o mini

GPT-4o mini

Openai · Jul 2024website

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

Try this prompt

Vote

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