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October 2026 results: WriteHuman holds #1, StealthGPT jumps to #2. Read the analysis →
HumanizerBench

Head to head · October 2026 cycle

AI Humanize io vs Walter Writes

AI Humanize io finished 4.7 points ahead of Walter Writes in the October 2026 cycle, 68.24 to 63.53, ranking #6 against #10 in a field of 14. AI Humanize io scored higher on 1 of 6 detectors and 4 of 6 writing categories. Walter Writes came out ahead on GPTZero (87.8 vs 70.0), Copyleaks (89.3 vs 73.6) and readability (63.5 vs 56.9). The bypass-rate gap, 66.5 to 72.8, sits inside both tools' 95% confidence intervals, so treat bypass as a draw.

68.24 /100
overall score
#6 /14
rank ▼ 2
+4.71
← AI Humanize io leads
Detectors
1 – 4 (1 tie)
Categories
4 – 2
Components
1 – 4
63.53 /100
overall score
#10 /14
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 CIs overlap Walter Writes by 6.3
66.5 72.8
Meaning preservation CIs overlap Walter Writes by 1.8
68.6 70.4
Readability Walter Writes by 6.7
56.9 63.5
Consistency Walter Writes by 0.1
92.6 92.7
Penalties fewer is better AI Humanize io by 9.0
None −9.0

CIs overlap marks a gap that sits inside both tools' published 95% confidence intervals for that component; it may not survive another cycle.

Detector by detector

Share of each tool's outputs that a detector classified as human-written. Walter Writes took 4 of 6, with 1 tied.

GPTZero Walter Writes by 17.8
70.0 87.8
Originality.ai Walter Writes by 1.3
90.2 91.5
Copyleaks Walter Writes by 15.8
73.6 89.3
Winston AI Walter Writes by 6.6
89.9 96.5
ZeroGPT AI Humanize io by 3.8
75.4 71.6
Pangram Even
0.0 0.0

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: AI Humanize io 70.2 · Walter Writes 71.4 Application Essay: AI Humanize io 63.0 · Walter Writes 66.1 Blog Post: AI Humanize io 67.5 · Walter Writes 61.2 Marketing Copy: AI Humanize io 63.8 · Walter Writes 53.2 Discussion Board: AI Humanize io 65.7 · Walter Writes 37.9 News Article: AI Humanize io 60.4 · Walter Writes 56.0
AI Humanize io Walter Writes Outer ring = 100
Academic Essay 6 prompts Walter Writes by 1.2
70.2 71.4
Application Essay 6 prompts Walter Writes by 3.1
63.0 66.1
Blog Post 6 prompts AI Humanize io by 6.3
67.5 61.2
Marketing Copy 6 prompts AI Humanize io by 10.6
63.8 53.2
Discussion Board 3 prompts AI Humanize io by 27.8
65.7 37.9
News Article 3 prompts AI Humanize io by 4.4
60.4 56.0

Head-to-head history

Overall score in every cycle both tools were tested. AI Humanize io has finished ahead in 4 of 5 shared cycles.

50 60 70 80 June 2026 July 2026 August 2026 September 2026 October 2026 June 2026: Walter Writes 67.24 (#10) June 2026: AI Humanize io 72.95 (#6) July 2026: Walter Writes 62.84 (#7) July 2026: AI Humanize io 59.66 (#10) August 2026: Walter Writes 60.83 (#9) August 2026: AI Humanize io 64.57 (#6) September 2026: Walter Writes 61.70 (#10) September 2026: AI Humanize io 72.94 (#4) October 2026: Walter Writes 63.53 (#10) October 2026: AI Humanize io 68.24 (#6) 68.2 63.5
AI Humanize io Walter Writes
Cycle AI Humanize io Walter Writes Margin
October 2026 68.24 #6 63.53 #10 ← 4.7
September 2026 72.94 #4 61.70 #10 ← 11.2
August 2026 64.57 #6 60.83 #9 ← 3.7
July 2026 59.66 #10 62.84 #7 → 3.2
June 2026 72.95 #6 67.24 #10 ← 5.7

Where each one wins

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

AI Humanize io

6 wins
  • Penalties Score None vs −9.0
  • ZeroGPT Detector 75.4 vs 71.6
  • Discussion Board Category 65.7 vs 37.9
  • Marketing Copy Category 63.8 vs 53.2
  • Blog Post Category 67.5 vs 61.2
  • News Article Category 60.4 vs 56.0

Walter Writes

10 wins
  • Readability Score 63.5 vs 56.9
  • Bypass rate Score 72.8 vs 66.5
  • Meaning preservation Score 70.4 vs 68.6
  • Consistency Score 92.7 vs 92.6
  • GPTZero Detector 87.8 vs 70.0
  • Copyleaks Detector 89.3 vs 73.6
  • Winston AI Detector 96.5 vs 89.9
  • Originality.ai Detector 91.5 vs 90.2
  • Application Essay Category 66.1 vs 63.0
  • Academic Essay Category 71.4 vs 70.2

Same prompt, both outputs

Both tools were given this AI-written passage in the October 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 · 336 words

My fascination with Human-Computer Interaction began not in a computer lab, but while watching my grandmother struggle to use a telehealth application during a medical emergency. The technology to save her life was there, but the interface alienated her. In that moment of panic, poor contrast, ambiguous icons, and convoluted navigation transformed a lifesaving tool into an impenetrable wall. This experience cemented my conviction that the most advanced technology is entirely futile if it fails to account for human emotion, cognitive limits, and diversity.

Throughout my undergraduate studies, I sought to understand both sides of this equation—the technical constraints of software and the psychological realities of the user. In my coursework and independent projects, I found myself consistently drawn to the friction points where user intent clashed with algorithmic execution. While collaborating on a mobile application for local transit, I realized that writing efficient code was only half the battle; conducting user interviews, mapping user journeys, and redesigning the information architecture were what actually made the tool viable. Technology, I realized, should adapt to the messiness of the human experience, not force humans to adapt to the rigidity of machines.

I want to pursue a graduate degree in Human-Computer Interaction to bridge the gap between computational power and human empathy. I am particularly eager to explore how emerging paradigms—such as voice interfaces, multimodal AI, and ambient computing—can be designed to be accessible rather than exclusive. As artificial intelligence becomes deeply woven into the fabric of daily life, the need for thoughtful, ethical, and inclusive interaction design has never been more urgent.

Your program offers the ideal interdisciplinary environment for me to deepen this inquiry. By combining rigorous user research methodologies with cutting-edge technical prototyping, I hope to investigate how adaptive interfaces can empower underserved populations, including the elderly and digitally illiterate. Ultimately, I do not just want to build systems that work; I want to design intuitive, equitable experiences that make technology feel less like an obstacle and more like an effortless extension of human capability.

Show the full input

316 words (input 336)

The idea of Human-Computer Interaction did not come to me when I was with a computer at hand but rather as I was witnessing my grandmother face one of her lifetime challenges. Although the app she was using was meant to help her in a medical emergency, it turned out to be useless because of poor design. In that situation, she had her needed technology ready, but the design of it deceptive, making it impossible for her to use it. I learned that the development of any technological tool should consider the emotional and cognitive aspects of its users; otherwise, the technology becomes useless.

During my undergraduate studies, I dedicated my time to learning how both technical and psychological factors influence people and technology between them. I managed to find and analyze the points of friction, which happen at the interface of the software with its users. While I was working on developing a mobile application for public transport, I discovered that writing efficient code is only half of the task; communication with users and analyzing their needs is the other half of the work which would make any technology successful.

My goal is to study for my graduate diploma in the field of Human-Computer Interaction in order to find a balance between technology and humanity. I wish to explore the new types of technology such as voice interfaces, multi-modal Artificial Intelligence, or help computing, for example, that can be made inclusive and accessible. At present, with the emergence of artificial intelligence, it is becoming a vital necessity to design the interaction for people, including those who do not have any experience or skills in technology.

Your program is perfect for me as an interdisciplinary field of studies. The combination of user research and technical prototyping will allow me to study how to use flexible interfaces to assist various groups of people in overcoming their disabilities.

Show the full output
  • GPTZero0.73passed
  • Pangram0.00caught
  • Winston AI1.00passed
  • ZeroGPT0.91passed
  • Copyleaks1.00passed
  • Originality.ai1.00passed

Passed 5 of 6 detectors.

Every AI Humanize io run in October 2026 →

396 words (input 336)

My interest in Human-Computer Interaction did not begin when I was in a Computer Lab or coding. It developed from watching my Grandmother have difficulty using a telemedicine app during a time she needed to call for assistance. The technology to help her was available; however, the interface kept her at bay. At that point, as my Grandmother struggled through her own crisis, inadequate contrast, unclear symbols, and confusing pathways turned a potentially lifesaving tool into an impassable barrier. That event solidified my belief that even the most technologically sophisticated tools are ineffectual if they neglect to address the emotional and intellectual limitations of people as well as their diversity.

During my undergraduate education I tried to come to terms with both sides of this issue -- the technological boundaries of software and the psychological realities of users. Through my academic course work and individual project assignments I was continually directed toward the conflict zones (friction) of User Intent vs. Algorithmic Execution. For example, I learned through working together on a mobile application for local transportation that writing good code (efficiently) was only one-half of creating a functional tool; user interviews, user journey maps, and designing new Information Architectures represented the other half. What I also came to realize is that technology should be shaped by the complexities and messiness of human experience, rather than shaping humans to conform to machine-based rigidities.

The reason I would like to pursue a Graduate Degree in Human-Computer Interaction is to develop the connection between computational capabilities and the ability of designers to provide empathetic interactions. I am particularly interested in exploring the opportunities for designing Accessible Interfaces based on Emerging Paradigms such as Voice Interfaces, Multimodal Artificial Intelligence, Ambient Computing. With Artificial Intelligence becoming increasingly integrated into our everyday lives, now is perhaps the greatest opportunity for designers of all disciplines to focus on developing thoughtful, ethically focused, and inclusive interaction designs.

In your program I believe you offer the perfect combination of Interdisciplinary Education that will enable me to further study how Adaptive Interface Design can enable marginalized groups -- specifically older adults and those who lack digital literacy skills. Most importantly, I don't simply want to create Systems that function, I want to create Intuitive and Equitable Experiences for People so that Technology does not represent an Obstacle but instead represents an effortless Extension of Human Ability.

Show the full output
  • GPTZero0.96passed
  • Pangram0.00caught
  • Winston AI0.98passed
  • ZeroGPT1.00passed
  • Copyleaks1.00passed
  • Originality.ai1.00passed

Passed 5 of 6 detectors.

Every Walter Writes run in October 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 AI Humanize io better than Walter Writes?

AI Humanize io finished 4.7 points ahead of Walter Writes in the October 2026 cycle, 68.24 to 63.53, ranking #6 against #10 in a field of 14. AI Humanize io scored higher on 1 of 6 detectors and 4 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, AI Humanize io or Walter Writes?

Walter Writes posted the higher bypass rate, 72.8 vs 66.5, and scored higher on 4 of 6 detectors. AI Humanize io led on ZeroGPT; Walter Writes led on GPTZero, Originality.ai, Copyleaks and Winston AI. The overall bypass gap is inside both 95% confidence intervals, so it is not a reliable difference.

Do AI Humanize io and Walter Writes keep the original meaning?

Walter Writes preserved meaning better, 70.4 vs 68.6 on our 0–100 similarity scale, though the confidence intervals overlap. On readability, Walter Writes rated higher, 63.5 vs 56.9. Penalties this cycle: AI Humanize io None, Walter Writes −9.0.