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

Head to head · October 2026 cycle

Phrasly vs Undetectable.ai

Undetectable.ai finished 9.4 points ahead of Phrasly in the October 2026 cycle, 71.18 to 61.79, ranking #3 against #12 in a field of 14. Undetectable.ai scored higher on 1 of 6 detectors and 6 of 6 writing categories. Phrasly came out ahead on Pangram (85.6 vs 3.5), bypass rate (95.3 vs 74.6) and GPTZero (98.6 vs 85.0).

61.79 /100
overall score
#12 /14
rank ▼ 4
+9.39
Undetectable.ai leads →
Detectors
5 – 1
Categories
0 – 6
Components
2 – 3
71.18 /100
overall score
#3 /14
rank ▲ 3

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 Phrasly by 20.8
95.3 74.6
Meaning preservation Undetectable.ai by 29.2
49.9 79.2
Readability Undetectable.ai by 19.7
44.2 63.9
Consistency Phrasly by 3.9
96.9 93.0
Penalties fewer is better Undetectable.ai by 6.0
−11.0 −5.0

Detector by detector

Share of each tool's outputs that a detector classified as human-written. Phrasly took 5 of 6.

GPTZero Phrasly by 13.6
98.6 85.0
Originality.ai Phrasly by 7.9
96.6 88.7
Copyleaks Phrasly by 12.1
100.0 87.9
Winston AI Undetectable.ai by 1.5
97.0 98.5
ZeroGPT Phrasly by 10.6
94.3 83.8
Pangram Phrasly by 82.0
85.6 3.5

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: Phrasly 63.7 · Undetectable.ai 69.0 Application Essay: Phrasly 63.6 · Undetectable.ai 76.4 Blog Post: Phrasly 57.8 · Undetectable.ai 58.1 Marketing Copy: Phrasly 45.8 · Undetectable.ai 71.5 Discussion Board: Phrasly 52.9 · Undetectable.ai 69.4 News Article: Phrasly 16.8 · Undetectable.ai 61.4
Phrasly Undetectable.ai Outer ring = 100
Academic Essay 6 prompts Undetectable.ai by 5.3
63.7 69.0
Application Essay 6 prompts Undetectable.ai by 12.7
63.6 76.4
Blog Post 6 prompts Undetectable.ai by 0.3
57.8 58.1
Marketing Copy 6 prompts Undetectable.ai by 25.7
45.8 71.5
Discussion Board 3 prompts Undetectable.ai by 16.5
52.9 69.4
News Article 3 prompts Undetectable.ai by 44.7
16.8 61.4

Head-to-head history

Overall score in every cycle both tools were tested. Undetectable.ai has finished ahead in 4 of 5 shared cycles.

50 60 70 80 90 June 2026 July 2026 August 2026 September 2026 October 2026 June 2026: Undetectable.ai 80.09 (#5) June 2026: Phrasly 71.10 (#8) July 2026: Undetectable.ai 72.17 (#2) July 2026: Phrasly 61.47 (#9) August 2026: Undetectable.ai 61.49 (#8) August 2026: Phrasly 63.30 (#7) September 2026: Undetectable.ai 71.75 (#6) September 2026: Phrasly 67.58 (#8) October 2026: Undetectable.ai 71.18 (#3) October 2026: Phrasly 61.79 (#12) 61.8 71.2
Phrasly Undetectable.ai
Cycle Phrasly Undetectable.ai Margin
October 2026 61.79 #12 71.18 #3 → 9.4
September 2026 67.58 #8 71.75 #6 → 4.2
August 2026 63.30 #7 61.49 #8 ← 1.8
July 2026 61.47 #9 72.17 #2 → 10.7
June 2026 71.10 #8 80.09 #5 → 9.0

Where each one wins

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

Phrasly

7 wins
  • Bypass rate Score 95.3 vs 74.6
  • Consistency Score 96.9 vs 93.0
  • Pangram Detector 85.6 vs 3.5
  • GPTZero Detector 98.6 vs 85.0
  • Copyleaks Detector 100.0 vs 87.9
  • ZeroGPT Detector 94.3 vs 83.8
  • Originality.ai Detector 96.6 vs 88.7

Undetectable.ai

10 wins
  • Penalties Score −5.0 vs −11.0
  • Meaning preservation Score 79.2 vs 49.9
  • Readability Score 63.9 vs 44.2
  • Winston AI Detector 98.5 vs 97.0
  • News Article Category 61.4 vs 16.8
  • Marketing Copy Category 71.5 vs 45.8
  • Discussion Board Category 69.4 vs 52.9
  • Application Essay Category 76.4 vs 63.6
  • Academic Essay Category 69.0 vs 63.7
  • Blog Post Category 58.1 vs 57.8

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 gpt-6-sol · 357 words

I first became interested in human-computer interaction when I watched my grandfather struggle to book a medical appointment online. The website had all the information he needed, but its small text, confusing menus, and unclear error messages made a simple task feel impossible. I sat beside him and helped him finish the booking, but the experience stayed with me. Technology is often described as a way to make life easier. I want to understand why it sometimes does the opposite, and how to change that.

What draws me to human-computer interaction is its combination of technical problem-solving and attention to people. A system can be fast and reliable yet still fail if someone cannot understand or trust it. I am interested in the decisions behind that experience: how designers learn what users need, how they test assumptions, and how they balance accessibility, privacy, and simplicity. I want to study the methods that turn observations about everyday frustrations into better products.

I am especially interested in accessibility. My grandfather’s experience showed me that a design choice that seems minor to one person can determine whether another person can use a service at all. Studying human-computer interaction would help me learn to involve people with different abilities, backgrounds, and levels of digital confidence throughout the design process. I want to become better at listening before proposing solutions, and at evaluating whether those solutions work outside a classroom or lab.

I also enjoy the creative side of the field. Improving an interface means asking questions, trying ideas, and being willing to revise them when evidence challenges an initial plan. That process appeals to me because it treats mistakes as opportunities to learn rather than reasons to stop.

I hope to study human-computer interaction so I can help build technology that respects the people who rely on it. Whether I work on healthcare services, educational tools, or products I cannot yet imagine, I want to make digital experiences clearer and more inclusive. For me, success would mean someone like my grandfather could complete an important task independently, without needing to ask for help—and feel confident doing it again the next time.

Show the full input

339 words (input 357)

Human computer interaction became something I wanted to pursue after seeing my grandpa struggle to make a doctors appointment through his computer. He was able to find everything he needed on the site. However the font size, navigation and errors made it difficult for him to make an appointment. I assisted him to complete the booking but realized that we live in a world where technology is meant to make our lives easier. Why is that not always the case? This is what I hope to learn more about when studying human computer interaction. Human computer interaction allows for a deeper understanding on how we can create systems to benefit people. Something may work well for a computer but if people don't know how to navigate or trust it then its useless. There are many factors that I hope to learn more about. How can we discover what people need from these systems and implement those factors in to the system. Accessibility privacy etc. I want to learn more about how we can take issues we see in day-to-day life and apply it to create better products. Accessibility is something that I believe is important to include in these systems. As mentioned previously my grandpa may not have been able to book his appointment without help from someone else. By learning about human computer interaction I can help create systems that include all types of people. Learning to hear what others have to say and implement those into our designs. Another reason I like human computer interaction is that you can always come up with improvements. Once you come up with an idea to better a product you will always have the opportunity to improve it further. Whether it's adding features or improving current ones there is always room for growth. I hope to learn about human computer interaction so I can provide these better technologies to those who need it. Whether that's creating systems for healthcare or education I want to help make these systems easier for everyone.

Show the full output
  • GPTZero1.00passed
  • Pangram1.00passed
  • Winston AI1.00passed
  • ZeroGPT1.00passed
  • Copyleaks1.00passed
  • Originality.ai1.00passed

Passed 6 of 6 detectors.

Every Phrasly run in October 2026 →

432 words (input 357)

I am interested in studying human-computer interaction. Recently I had the opportunity to sit next to my grandfather as he tried to book a medical consultation online. After what seemed like an age we finally managed to complete the online booking. During this time I realized that the website did in fact contain all of the information my grandfather required; however the online interface contained small text, confusing menus, and vague error messages that made a seemingly simple task extremely difficult. I am interested in technology because it should make our lives easier, and I am interested in finding out why technology does not always have this effect.

What I find most fascinating about Human-Computer Interaction is the interplay of technical problem solving and human centered design. A system can be really fast and efficient but fail to deliver because of tiny design choices that make it hard for users to understand what is going on. I’m interested in how designers arrive at the decisions they do and how different methods and techniques are used to gather information about users and their problems, and then to design solutions to those problems.

One of the biggest interests I have within the field of human-computer interaction is accessibility. The experience I described above shows just how much one seemingly minor design decision can affect a person’s ability to use a service. In studying human-computer interaction, I hope to explore methods of including people of all abilities, backgrounds, and levels of experience with computers in the design process. This means learning to listen to users and to test solutions outside of the classroom or lab.

On a more positive note, I am very interested in the creative side of this field. Designing interfaces to improve human interaction with computers is all about asking questions and testing out different solutions. Even when those solutions fail, there is always something to learn from them.

Human-computer interaction could be a field that I am particularly interested in because I can help design technology that is more respectful to the people who use it. This could be to design healthcare services, educational tools, or other technology that can help make people’s lives easier. The ultimate goal for me is to help design technology that is clear and inclusive for people of all backgrounds and abilities. My goal would be for my grandfather to be able to do online something important to him in a way that is easy and he feels confident that he completed the task online and that he can do it again online in the future.

Show the full output
  • GPTZero1.00passed
  • Pangram0.00caught
  • Winston AI1.00passed
  • ZeroGPT0.92passed
  • Copyleaks1.00passed
  • Originality.ai1.00passed

Passed 5 of 6 detectors.

Every Undetectable.ai 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 Phrasly better than Undetectable.ai?

Undetectable.ai finished 9.4 points ahead of Phrasly in the October 2026 cycle, 71.18 to 61.79, ranking #3 against #12 in a field of 14. Undetectable.ai scored higher on 1 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, Phrasly or Undetectable.ai?

Phrasly posted the higher bypass rate, 95.3 vs 74.6, and scored higher on 5 of 6 detectors. Phrasly led on GPTZero, Originality.ai, Copyleaks, ZeroGPT and Pangram; Undetectable.ai led on Winston AI.

Do Phrasly and Undetectable.ai keep the original meaning?

Undetectable.ai preserved meaning better, 79.2 vs 49.9 on our 0–100 similarity scale. On readability, Undetectable.ai rated higher, 63.9 vs 44.2. Penalties this cycle: Phrasly −11.0, Undetectable.ai −5.0.