Head to head · October 2026 cycle
Grammarly vs Humanize AI Pro
Humanize AI Pro finished 7.6 points ahead of Grammarly in the October 2026 cycle, 68.87 to 61.29, ranking #5 against #14 in a field of 14. Humanize AI Pro scored higher on 6 of 6 detectors and 5 of 6 writing categories. Grammarly came out ahead on news article prompts (68.0 vs 50.6), meaning preservation (85.5 vs 75.0) and readability (72.2 vs 62.2).
- Detectors
- 0 – 6
- Categories
- 1 – 5
- Components
- 3 – 2
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 →
Detector by detector
Share of each tool's outputs that a detector classified as human-written. Humanize AI Pro took 6 of 6.
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 →
Head-to-head history
Overall score in every cycle both tools were tested. Humanize AI Pro has finished ahead in 5 of 5 shared cycles.
| Cycle | Grammarly | Humanize AI Pro | Margin |
|---|---|---|---|
| October 2026 | 61.29 #14 | 68.87 #5 | → 7.6 |
| September 2026 | 60.35 #12 | 70.07 #7 | → 9.7 |
| August 2026 | 52.91 #11 | 71.40 #2 | → 18.5 |
| July 2026 | 53.38 #12 | 70.49 #3 | → 17.1 |
| June 2026 | 56.50 #12 | 68.05 #9 | → 11.5 |
Where each one wins
Every measure above that one tool won outright, largest margin first within each group.
Grammarly
4 wins- Meaning preservation Score 85.5 vs 75.0
- Readability Score 72.2 vs 62.2
- Consistency Score 93.6 vs 93.0
- News Article Category 68.0 vs 50.6
Humanize AI Pro
13 wins- Bypass rate Score 63.4 vs 38.1
- Penalties Score −1.0 vs −3.0
- GPTZero Detector 54.6 vs 3.0
- Originality.ai Detector 85.7 vs 52.4
- ZeroGPT Detector 73.2 vs 43.7
- Winston AI Detector 96.1 vs 71.6
- Copyleaks Detector 70.5 vs 58.2
- Pangram Detector 0.3 vs 0.0
- Discussion Board Category 68.8 vs 50.1
- Blog Post Category 67.1 vs 56.8
- and 3 more
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.
AI-written input
Every tool on this prompt →Personal Statement · Application Essay · written by claude-sonnet-5-5 · 379 words
Technology shapes nearly every moment of our lives, yet it often fails the people it is meant to serve. I first understood this when I watched my grandmother struggle to use a banking app. She was intelligent, capable, and determined, but the interface assumed knowledge she had no reason to possess. Tiny icons, unlabeled menus, and confusing error messages left her feeling that she was the problem. I realized then that she wasn't failing the technology; the technology was failing her. That moment set me on a path toward human-computer interaction.
Since then, I have looked for opportunities to bridge the gap between people and the systems they use. In my introductory programming courses, I enjoyed writing code, but I found myself most energized when I asked what happened after the code was finished: who would use it, in what context, and with what frustrations? When I volunteered to redesign my university club's website, I interviewed members, observed how they searched for information, and tested prototypes with them. Seeing a once-confusing event registration process become something people could complete in under a minute was deeply satisfying. It showed me that thoughtful design is not decoration; it determines whether a tool empowers or excludes.
I am drawn to HCI because it unites disciplines I care about: psychology, design, engineering, and ethics. It asks technical questions alongside human ones. How do we build systems that are accessible to people with disabilities? How can we design AI tools that are transparent and trustworthy? How do we create technology that respects attention and wellbeing rather than exploiting them? These questions grow more urgent as interfaces move beyond screens into voice, gesture, and immersive environments.
I want to study HCI formally to gain rigorous research methods, deepen my understanding of cognition and behavior, and learn from faculty who are shaping the field. I am eager to collaborate with peers from diverse backgrounds, because good design depends on many perspectives.
My long-term goal is to work on inclusive technologies, whether in research or industry, that make people feel capable rather than confused. I want to build systems that meet people where they are, so that no one else feels the way my grandmother did. Studying HCI is the next step toward making that vision real.
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474 words (input 379)
Technology influences almost every aspect of our lives, even though it frequently fails the people it is supposed to help. The first time I realised this was when I saw my grandmother having difficulty using a banking app. Although she was intelligent, capable and determined, the programme assumed that she had knowledge which was completely unnecessary for her to have. The small icons, the menus without labels, and the confusing error messages made her feel as though it was her fault. At that point I came to see that it was not she who was failing the technology; rather, it was the technology that was failing her. Ever since that moment I have been determined to work in the field of human-computer interaction.
Since that time I have sought out ways to reduce the gap between people and the systems they use. Although I enjoyed writing code in my beginner programming classes, I was most enthusiastic about finding out what happened after the code had been completed: who would be using it, in what situation, and what frustrations they would have? When I agreed to redesign my university club's website, I interviewed the members, watched the way they searched for information, and put prototypes through tests with them. It was very satisfying to see an event registration procedure which had previously been confusing become one that people could finish in under a minute. This experience proved to me that careful design is not just about decoration; it decides whether a tool enables or excludes people.
I have been attracted to HCI since it brings together a number of fields that I am interested in: psychology, design, engineering, and ethics. It poses both technical and human questions. For example, how can we design systems that are accessible to people who have disabilities? How can we create AI tools that are transparent and trustworthy? How can we develop technology that respects people's attention and their wellbeing rather than taking advantage of them? The importance of these questions increases as interfaces go beyond screens and become voice, gesture, and immersive environments.
My aim is to study HCI in a formal way so as to acquire rigorous research methods, improve my understanding of cognition and behaviour, and learn from the faculty members who are helping to shape the field. I am looking forward to working with peers from a variety of backgrounds since good design relies on many different perspectives.
My aim is to be involved in the development of inclusive technologies—whether in a research or industrial context—so that people feel capable not merely confused. I would like to create systems that address people at their current level, in order that nobody else may have the same experience as my grandmother did. Taking up the study of HCI is the next move towards making that vision a reality.
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- GPTZero0.00caught
- Pangram0.00caught
- Winston AI1.00passed
- ZeroGPT0.76passed
- Copyleaks1.00passed
- Originality.ai1.00passed
Passed 4 of 6 detectors.
Every Grammarly run in October 2026 →392 words (input 379)
It is difficult to imagine any aspect of life that does not involve technology, and yet the technology fails its users all too often. I first became aware of that issue watching my intelligent and determined grandmother trying to make sense out of a banking application. The application assumed prior knowledge she did not and should not have. Tiny icons, unlabeled menus, and incomprehensible error messages made her feel like she is somehow to blame for failing to use the application. At that moment, I understood that it was the technology that failed to serve its user, not the other way around. Since then, my desire to help people use the systems has grown stronger.
In my introductory programming classes, I was excited about the coding itself. However, the most satisfying part for me was finding out what happens after the coding is done: who will use it, in which circumstances, and what problems it brings to the user. Working as a volunteer on a redesigning project for the website of my university club, I did user interviews and watched how users search for information. Creating prototypes, I was thrilled seeing how the process that took minutes to do previously turned into a one-minute task for my clubmates. Good design makes a big difference in how people perceive technology.
I am attracted to human-computer interaction due to the intersection of fields that I find interesting: psychology, design, engineering, and ethics. Human-computer interaction is concerned not only with the technical aspect of developing systems but with the human side of things: what kind of interfaces are accessible for people with various disabilities, how can we design tools of AI that are trustworthy and transparent for users, how do we develop interfaces that do not distract us from important tasks but serve as an instrument to facilitate the process. These issues grow more and more relevant now when interfaces evolve beyond the screens.
I am interested in studying HCI in order to improve my research skills, learn more about cognitive processes and behavior, and work together with my future professors and peers that will contribute their unique perspectives to the designing process.
Long term, I would like to work with inclusive technologies either in a research institute or in the industry. I want to build technology that helps people and makes them feel competent.
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- GPTZero1.00passed
- Pangram0.00caught
- Winston AI1.00passed
- ZeroGPT0.93passed
- Copyleaks1.00passed
- Originality.ai1.00passed
Passed 5 of 6 detectors.
Every Humanize AI Pro 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 Grammarly better than Humanize AI Pro?
Humanize AI Pro finished 7.6 points ahead of Grammarly in the October 2026 cycle, 68.87 to 61.29, ranking #5 against #14 in a field of 14. Humanize AI Pro scored higher on 6 of 6 detectors and 5 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, Grammarly or Humanize AI Pro?
Humanize AI Pro posted the higher bypass rate, 63.4 vs 38.1, and scored higher on 6 of 6 detectors. Humanize AI Pro led on GPTZero, Originality.ai, Copyleaks, Winston AI, ZeroGPT and Pangram.
Do Grammarly and Humanize AI Pro keep the original meaning?
Grammarly preserved meaning better, 85.5 vs 75.0 on our 0–100 similarity scale. On readability, Grammarly rated higher, 72.2 vs 62.2. Penalties this cycle: Grammarly −3.0, Humanize AI Pro −1.0.