Updated Oct 30, 2025

Our Verdict

Claude Sonnet 3.6 (2022-10-22)

Sonar Pro Search

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Claude Sonnet 3.6 (2022-10-22)

Sonar Pro Search

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Claude Sonnet 3.6 (2022-10-22)vsSonar Pro Search

38 fights queued

Why Claude Sonnet 3.6 (2022-10-22)?

Dead even. This one's a coin flip.

Why Sonar Pro Search?

17 months newerOct 2025

Claude Sonnet 3.6 (2022-10-22)Sonar Pro Search

Input price

$3.00/M

$3.00/M

Output price

$15.00/M

$15.00/M

Context

200K

200K

Released

Jun 2024

Oct 2025

Favorites

Claude Sonnet 3.6 (2022-10-22)Sonar Pro Search

Movie

The Princess Bride

The Princess Bride

—

Album

Kind of Blue

Abbey Road

Book

Братья Карамазовы

Братья Карамазовы

Фёдор Михайлович Достоевский

Dune

Dune

City

Tokyo

—

Game

Portal

Portal

Action, Puzzle4.5

The Legend of Zelda: Breath of the Wild

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

12 / 38

01

Estimate Complexityreasoning

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

Estimating the FLOPs Required to Train GPT-3

Background Information

GPT-3 is a large transformer-based language model developed by OpenAI. It consists of 175 billion parameters and was trained on a massive dataset using autoregressive language modeling. "FLOPs" stands for "Floating Point Operations," a standard measure of computational cost in machine learning.

Step-by-Step Estimation

1. Model Size and Training Data

Number of parameters: 175 billion (1.75×10¹¹).
Training dataset size: GPT-3 was reportedly trained on 300 billion tokens.

2. FLOPs per Parameter per Token

For transformer models, the number of FLOPs per token per parameter is not exactly 1, but it’s a useful approximation for estimation. In practice, additional computation is required for attention mechanisms, feedforward layers, and other architectural components. A reasonable ballpark for transformer models is between 2 and 6 FLOPs per parameter per token (some sources estimate closer to 6).

3. Overall Calculation

Using the approximation of 6 FLOPs per parameter per token:

[\text{Total FLOPs} = \text{Parameters} \times \text{Tokens} \times \text{FLOPs per parameter per token} ]

Plugging in the numbers:

[\text{Total FLOPs} = 175,000,000,000 \times 300,000,000,000 \times 6 ] [= 3.15 \times 10^{22} \text{ FLOPs} ]

4. Summary Table

Parameter	Value
Parameters	175,000,000,000
Training Tokens	300,000,000,000
FLOPs/param/token	6
Total FLOPs	3.15 × 10²²

Interpretation

Order of magnitude: The estimated FLOPs required to train GPT-3 are approximately ( 3 \times 10^{22} ) FLOPs.
Assumptions: This estimate assumes 6 FLOPs per parameter per token, which accounts for the complexity of transformer computations but is still a rough approximation.
Caveats: The actual number may vary depending on implementation details, optimizations, and the precise definition of "FLOPs" for this context.

In summary: Training GPT-3 likely required on the order of ( 3 \times 10^{22} ) FLOPs, based on reasonable approximations of model architecture and training regime.

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2 / 38

02

AI Board Game Logicreasoning

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024svg

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

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Perplexity · Oct 2025svg

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3 / 38

03

Logic Puzzlereasoning

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

Solution

Let’s break down the family structure:

Sally is a girl.
She has 3 brothers.
Each brother has 2 sisters.

Since Sally is already a girl, she counts as one sister. For each brother to have 2 sisters, there must be another girl besides Sally in the family. If there were more than 2 sisters, each brother would have more than 2 sisters.

Calculation

Sally herself (1 sister)
One other sister (the second sister)

So, Sally has 1 sister.

Final Answer

Sally has 1 sister.

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4 / 38

04

Math Misconception Testreasoning

Tests an AI's understanding of number representation

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

Comparing 9.11 and 9.9

To determine whether 9.11 is greater than 9.9, we compare the two numbers directly.

9.11 is equal to 9 + 0.11
9.9 is equal to 9 + 0.9

Since 0.11 is less than 0.9, it follows that 9.11 is less than 9.9.

Conclusion

No, 9.11 is not greater than 9.9.
9.11 is less than 9.9[1].

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5 / 38

05

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

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

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6 / 38

06

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024svg

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

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Perplexity · Oct 2025svg

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

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7 / 38

07

Xbox Controller SVG Artimage generation

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024svg

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

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Perplexity · Oct 2025svg

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

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8 / 38

08

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

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

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9 / 38

09

Realistic AI Interviewconversation

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

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

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10 / 38

10

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

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Perplexity · Oct 2025text

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

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11 / 38

11

Character Voice Testconversation

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024text

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

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Sonar Pro Search

Sonar Pro Search

Perplexity · Oct 2025text

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

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12 / 38

12

Minimalist Landing Pageweb design

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

Claude Sonnet 3.6 (2022-10-22)

Claude Sonnet 3.6 (2022-10-22)

Anthropic · Jun 2024website

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Perplexity · Oct 2025website

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