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November 2026 results: WriteHuman first, Phrasly climbs to fifth. Read the analysis →
HumanizerBench

Head to head · November 2026 cycle

Clever AI Humanizer vs Rephrasy

Clever AI Humanizer finished 16.0 points ahead of Rephrasy in the November 2026 cycle, 68.48 to 52.50, ranking #3 against #16 in a field of 16. Clever AI Humanizer scored higher on 2 of 6 detectors and 6 of 6 writing categories. Rephrasy came out ahead on Pangram (48.4 vs 2.7), bypass rate (73.9 vs 66.7) and Originality.ai (31.0 vs 24.0).

68.48 /100
overall score
#3 /16
rank ▲ 1
+15.98
← Clever AI Humanizer leads
Detectors
2 – 3 (1 tie)
Categories
6 – 0
Components
3 – 2
52.50 /100
overall score
#16 /16
rank -

30 prompts · Last tested · Methodology v1.3.0

Score components

What the overall score is made of: bypass rate weighs 42%, meaning preservation 32%, readability 16%, consistency across categories 10%. Output-quality penalties come off the total. How scoring works →

Bypass rate Rephrasy by 7.2
66.7 73.9
Meaning preservation Clever AI Humanizer by 21.0
65.8 44.9
Readability Clever AI Humanizer by 8.3
60.9 52.7
Consistency Rephrasy by 0.4
96.5 96.8
Penalties fewer is better Clever AI Humanizer by 11.0
None −11.0

Detector by detector

Share of each tool's outputs that a detector classified as human-written. Rephrasy took 3 of 6, with 1 tied.

GPTZero Rephrasy by 0.6
95.5 96.2
Originality.ai Rephrasy by 7.0
24.0 31.0
Copyleaks Even
96.7 96.7
Winston AI Clever AI Humanizer by 1.5
96.8 95.3
ZeroGPT Clever AI Humanizer by 8.8
84.6 75.8
Pangram Rephrasy by 45.6
2.7 48.4

Writing categories

Category score per writing context: bypass credit only for real rewrites, blended with the category's own meaning preservation and readability. Small categories swing; the prompt count is shown on each row. How category scores work →

Academic Essay Application Essay Blog Post Marketing Copy Discussion Board News Article Academic Essay: Clever AI Humanizer 64.1 · Rephrasy 50.9 Application Essay: Clever AI Humanizer 68.8 · Rephrasy 48.1 Blog Post: Clever AI Humanizer 63.5 · Rephrasy 40.6 Marketing Copy: Clever AI Humanizer 64.3 · Rephrasy 47.8 Discussion Board: Clever AI Humanizer 66.9 · Rephrasy 66.1 News Article: Clever AI Humanizer 65.5 · Rephrasy 46.1
Clever AI Humanizer Rephrasy Outer ring = 100
Academic Essay 6 prompts Clever AI Humanizer by 13.2
64.1 50.9
Application Essay 6 prompts Clever AI Humanizer by 20.7
68.8 48.1
Blog Post 6 prompts Clever AI Humanizer by 22.9
63.5 40.6
Marketing Copy 6 prompts Clever AI Humanizer by 16.5
64.3 47.8
Discussion Board 3 prompts Clever AI Humanizer by 0.8
66.9 66.1
News Article 3 prompts Clever AI Humanizer by 19.4
65.5 46.1

Where each one wins

Every measure above that one tool won outright, largest margin first within each group.

Clever AI Humanizer

11 wins
  • Penalties Score None vs −11.0
  • Meaning preservation Score 65.8 vs 44.9
  • Readability Score 60.9 vs 52.7
  • ZeroGPT Detector 84.6 vs 75.8
  • Winston AI Detector 96.8 vs 95.3
  • Blog Post Category 63.5 vs 40.6
  • Application Essay Category 68.8 vs 48.1
  • News Article Category 65.5 vs 46.1
  • Marketing Copy Category 64.3 vs 47.8
  • Academic Essay Category 64.1 vs 50.9
  • and 1 more

Rephrasy

5 wins
  • Bypass rate Score 73.9 vs 66.7
  • Consistency Score 96.8 vs 96.5
  • Pangram Detector 48.4 vs 2.7
  • Originality.ai Detector 31.0 vs 24.0
  • GPTZero Detector 96.2 vs 95.5

Same prompt, both outputs

Both tools were given this AI-written passage in the November 2026 cycle. Below it is what each one returned. This prompt was picked by a fixed rule, not by how the tools scored.

Personal Statement · Application Essay · written by gemini-3-8-flash · 328 words

Standard economic theory told me that humans are rational optimizers—cold, calculating machines operating within a frictionless world of supply and demand. However, watching the world around me, particularly during the economic turbulence of recent years, revealed a starkly different reality. People panic-buy during crises, succumb to the sunk cost fallacy in failing investments, and systematically choose short-term gratification over long-term financial security. It was this glaring disconnect between the elegance of classical models and the messy reality of human decision-making that first ignited my passion for behavioral economics.

During my undergraduate studies in economics, I found myself constantly questioning the *Homo economicus* assumption. While I respected the predictive power of quantitative modeling, the numbers felt hollow without the human element. My intellectual turning point came when I encountered Richard Thaler’s concept of "mental accounting." Suddenly, abstract financial behaviors—such as treating tax refunds differently from regular paychecks—made intuitive sense. I realized that to truly fix economic inefficiencies, we cannot merely assume how people *should* behave; we must study how they *actually* behave.

This fascination led me to research the intersection of choice architecture and public policy. I became deeply interested in how subtle interventions, or "nudges," could yield profound societal benefits—from increasing retirement savings rates to encouraging sustainable energy consumption. Behavioral economics represents the democratization of economic theory, humanizing data through the lens of psychology, neuroscience, and sociology.

At your institution, I want to bridge the gap between theoretical research and applied policy design. I am particularly drawn to your focus on experimental economics and empirical field research, where I hope to investigate how cognitive biases impact wealth inequality and financial inclusion.

I do not want to study economics merely to interpret markets from a detached perspective; I want to understand the psychological architecture that drives them. A graduate degree in behavioral economics will equip me with the interdisciplinary tools required to design policies, products, and systems that work with the grain of human nature, rather than against it.

Show the full input

236 words (input 328)

Throughout my undergraduate degree in Economics, I struggled with the Homo economicus assumption.Whilst I understood the utility of quantitative models and how accurate they can be at predicting behaviours, the lack of a human element made the numbers feel empty. My eureka moment was learning about Richard Thaler’s theory of mental accounting. Suddenly financial behaviours that previously seemed very abstract made sense. For example understanding why tax refunds are treated differently to income. I realised that in order to create solutions to economic inefficiencies we need to understand how people actually behave.

I became fascinated by how choice architecture can be used within public policy. I became very interested in how small changes, or nudges, could have huge positive impacts on society. behavioural economics is a really useful way of making economics accessible to everyone. Using psychology, neuroscience and sociology, behavioural economics brings the human element back into data.

At your institution I would like to apply my research to real world policy. I am very interested in your experimental economics focus and fieldwork. I would love to investigate how cognitive biases affect wealth inequality.

I do not wish to study economics to simply understand how markets work from an outside perspective. I want to understand the psychology behind them. By gaining a graduate degree in behavioural economics I will gain the interdisciplinary skills needed to create policies, products and systems that work with human nature.

Show the full output
  • GPTZero1.00passed
  • Pangram0.00caught
  • Winston AI1.00passed
  • ZeroGPT0.90passed
  • Copyleaks1.00passed
  • Originality.ai0.48caught

Passed 4 of 6 detectors.

Every Clever AI Humanizer run in November 2026 →

323 words (input 328)

For years, I thought that I wanted to go into economics, because economics attempts to answer questions about human decisions. Then I realized that it wasn't really about human decisions, it was all about the phenomenon of supply and demand. Supply and demand are really helpful to understand how markets work, but they can't really answer questions about why humans decide anything at all. Yet, the study of economics is so pervasive and successful, that I wondered if there could be a way to incorporate "how we make decisions" into a system.

In my undergraduate studies, I delved into the burgeoning literature around decision theory, the psychology of how people view risk and reward, and the simple mathematical models that ascribe numbers to the former and the latter. Then I encountered actual people, who proved to be stubborn and messy, consistently making decisions that did not adhere to the models. Rather than assuming people are rational and that they only need more and better information, I found the best way to understand people's decisions is to put them under the microscope.

That curiosity brought me into the world of behavioral economics, where economics and psychology meet in a quest to understand and explain human behaviors that, at first glance, seem strange and irrational. Such subtle nudges affect how we save for the future, spend our money, and make choices in our day-to-day life. Behavioral economics brings about a new theoretical model of how people behave.

Behavioral economics appeals to me because it steps beyond the imaginary blue box of traditional economics. I hope to study human behavior because each individual is more than a statistic, existing in a complex web of cultural and social realities that traditional economics neglects.

A graduate degree, I believe, will train me to measure and predict behaviors and then translate my research into solutions. That lets me respond to fundamental questions: In which contexts do these behaviors arise?

Show the full output
  • GPTZero1.00passed
  • Pangram0.39caught
  • Winston AI1.00passed
  • ZeroGPT0.84passed
  • Copyleaks1.00passed
  • Originality.ai0.10caught

Passed 4 of 6 detectors.

Every Rephrasy run in November 2026 →

Each chip is one detector's score for that output, from 0 (AI) to 1 (human). A score of 0.50 or higher counts as a pass and shows green; below that the detector caught it and the chip shows red.

Questions people ask

Is Clever AI Humanizer better than Rephrasy?

Clever AI Humanizer finished 16.0 points ahead of Rephrasy in the November 2026 cycle, 68.48 to 52.50, ranking #3 against #16 in a field of 16. Clever AI Humanizer scored higher on 2 of 6 detectors and 6 of 6 writing categories. Both tools ran the same 30 prompts, scored by the same 6 detectors, under methodology v1.3.0; every input, output and verdict is published.

Which bypasses AI detectors better, Clever AI Humanizer or Rephrasy?

Rephrasy posted the higher bypass rate, 73.9 vs 66.7, and scored higher on 3 of 6 detectors. Clever AI Humanizer led on Winston AI and ZeroGPT; Rephrasy led on GPTZero, Originality.ai and Pangram.

Do Clever AI Humanizer and Rephrasy keep the original meaning?

Clever AI Humanizer preserved meaning better, 65.8 vs 44.9 on our 0–100 similarity scale. On readability, Clever AI Humanizer rated higher, 60.9 vs 52.7. Penalties this cycle: Clever AI Humanizer None, Rephrasy −11.0.