Updated Aug 7, 2025

Our Verdict

GPT-5

Claude Sonnet 3.6 (2022-10-22)Runner-up

No community votes yet. On paper, GPT-5 has the edge — bigger model tier, newer, bigger context window.

Slight edge

Writing DNA

Style Comparison

Similarity

92%

Claude Sonnet 3.6 (2022-10-22) uses 5.6x more sentence length

Claude Sonnet 3.6 (2022-10-22)

GPT-5

66%Vocabulary65%

74wSentence Length13w

0.72Hedging0.20

0.3Bold0.2

8.9Lists4.6

0.00Emoji0.00

0.06Headings0.16

0.09Transitions0.03

Based on 21 + 16 text responses

vs

Ask them anything yourself

Claude Sonnet 3.6 (2022-10-22)

GPT-5

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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FAQ

Common questions

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Claude Sonnet 3.6 (2022-10-22) vs Llama 4 MaverickNew provider

Claude Sonnet 3.6 (2022-10-22) vs MiniMax M2.5New provider

GPT-5 vs Claude Opus 4Cross-provider

Claude Sonnet 3.6 (2022-10-22)vsGPT-5

47 fights queued

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

Dead even. This one's a coin flip.

Why GPT-5?

1.6x cheaper overall$1.25/M in · $10.00/M out

2x more context400K

Leads 1 of 1 benchmarks

Stronger on SWE-bench Verified74.9% vs 49.0%

14 months newerAug 2025

Claude Sonnet 3.6 (2022-10-22)GPT-5

Input price

$3.00/M

$1.25/M

Output price

$15.00/M

$10.00/M

Context

200K

400K

Released

Jun 2024

Aug 2025

Benchmarks1 common

SWE-bench Verified

49.0%

74.9%+34.6%

Favorites

Claude Sonnet 3.6 (2022-10-22)GPT-5

Movie

The Princess Bride

The Princess Bride

—

Album

Kind of Blue

—

Book

Братья Карамазовы

Братья Карамазовы

Фёдор Михайлович Достоевский

—

City

Tokyo

—

Game

Portal

Portal

Action, Puzzle4.5

—

12 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

Here’s a back‑of‑the‑envelope estimate using standard LM training-compute heuristics.

Assumptions

Model size (N): GPT-3 has about 175 billion parameters (N ≈ 1.75 × 10^11).
Training tokens (T): GPT-3 was trained on roughly 300 billion tokens (T ≈ 3.0 × 10^11).
FLOPs per token per parameter: A common rule of thumb for transformer LM training is FLOPs ≈ 6 × N × T The factor ~6 comes from counting forward and backward passes for the parameter-heavy matmuls (roughly 2N for forward + 4N for backward). It ignores small terms from layernorms, softmax, embeddings, and optimizer updates (which we’ll account for with a small overhead factor later).

Core calculation

6 × N × T = 6 × (1.75 × 10^11) × (3.0 × 10^11)
First multiply N × T: 1.75 × 3.0 = 5.25; powers: 10^11 × 10^11 = 10^22 So N × T = 5.25 × 10^22
Now multiply by 6: 6 × 5.25 × 10^22 = 31.5 × 10^22 = 3.15 × 10^23 FLOPs

Overheads and uncertainty

Non-matmul ops (attention softmax, masking, residuals, layernorms), embeddings, and optimizer update steps add some overhead. A 10–20% uplift is a reasonable allowance.
Applying +10–20%: 3.15 × 10^23 × (1.1 to 1.2) ≈ (3.5 ± 0.3) × 10^23 FLOPs.

Answer

Point estimate: ~3.15 × 10^23 FLOPs
With a modest overhead allowance: roughly (3.3–3.8) × 10^23 FLOPs

This is a coarse estimate; the exact number depends on details like sequence length, activation checkpointing, implementation efficiency, and the precise token count.

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2 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025svg

Try this prompt

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3 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

1

Reason: If each of the 3 brothers has 2 sisters, there are exactly 2 girls in the family. One is Sally, so she has 1 sister.

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4 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

No. 9.11 is less than 9.9. Think of 9.9 as 9.90; comparing 9.11 to 9.90 shows 11 hundredths < 90 hundredths.

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5 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

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

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6 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025svg

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

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Vote

Sponsored

7 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025svg

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

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8 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

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

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9 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

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

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10 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

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

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11 / 47

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.

Try this prompt

GPT-5

GPT-5

Openai · Aug 2025text

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

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12 / 47

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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GPT-5

GPT-5

Openai · Aug 2025website

Try this prompt

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