GLM 5.2

Closest matchGemini 3.1 Pro
Blend score63.3%

Circular relationship tree

GPT 4.1 Nano Qwen3 30B A3B Gemini 2.5 Flash Lite GPT OSS 20B Mistral Nemo Gemma 3 4B IT Grok 4 Fast GPT 4o Mini GLM 4.6 Llama 4 Scout Claude Fable 5 Kimi K3 Claude Opus 4.8 Claude Sonnet 5 Inkling Grok 4.5 Gemini 3.1 Pro GLM 5.2 DeepSeek V4 Pro GPT 5.6 Sol

Similar models

  1. 01Gemini 3.1 Pro63.3%
  2. 02DeepSeek V4 Pro54.0%
  3. 03Claude Sonnet 552.9%
  4. 04Claude Opus 4.851.3%
  5. 05Inkling51.1%
  6. 06Grok 4.550.3%
  7. 07Claude Fable 550.1%
  8. 08Kimi K348.4%
  9. 09GPT 5.6 Sol35.7%
  10. 10Llama 4 Scout8.2%
  11. 11Gemma 3 4B IT5.7%
  12. 12GPT 4o Mini5.7%
  13. 13Qwen3 30B A3B5.0%
  14. 14Gemini 2.5 Flash Lite4.9%
  15. 15GPT 4.1 Nano4.8%
  16. 16GLM 4.63.9%
  17. 17Mistral Nemo3.1%
  18. 18GPT OSS 20B3.1%
  19. 19Grok 4 Fast2.1%

Head to head

GLM 5.2Z.ai · 100 outputs
vs
Kimi K3Kimi · 100 outputs
View Kimi K3 profile
Blend score48.4%
487 onlyGLM 5.2913 shared487 onlyKimi K3

GLM 5.2only487

  1. one must firstessays · 3-gram21×
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Shared913

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  55. in terms ofessays · 3-gram7×5×
  56. in the earlyessays · 3-gram7×13×
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  59. the most criticalessays · 3-gram7×5×
  60. the question ofessays · 3-gram7×6×
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  64. in the worldessays · 3-gram7×22×
  65. the interests ofessays · 3-gram7×6×
  66. the quality ofessays · 3-gram7×16×
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Kimi K3only487

  1. much of theessays · 3-gram14×
  2. far more thanessays · 3-gram14×
  3. among the mostessays · 3-gram13×
  4. in this wayessays · 3-gram11×
  5. it is theessays · 3-gram11×
  6. each of theseessays · 3-gram10×
  7. in response toessays · 3-gram11×
  8. the value ofessays · 3-gram11×
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  10. the history ofessays · 3-gram10×
  11. the story ofessays · 3-gram10×
  12. at the sameessays · 3-gram9×
  13. the center ofessays · 3-gram9×
  14. the same timeessays · 3-gram9×
  15. of the largestessays · 3-gram11×
  16. environment in whichessays · 3-gram10×
  17. the twentieth centuryessays · 3-gram10×
  18. around the worldessays · 3-gram9×
  19. has become aessays · 3-gram9×
  20. of their ownessays · 3-gram9×
  21. the majority ofessays · 3-gram9×
  22. at the centeressays · 3-gram8×
  23. refers to theessays · 3-gram8×
  24. the absence ofessays · 3-gram8×
  25. the first timeessays · 3-gram8×
  26. the principle ofessays · 3-gram8×
  27. twenty first centuryessays · 3-gram8×
  28. a matter ofessays · 3-gram7×
  29. equally important isessays · 3-gram7×
  30. for much ofessays · 3-gram7×
  31. foundation upon whichessays · 3-gram7×
  32. of the world'sessays · 3-gram7×
  33. so that theessays · 3-gram7×
  34. the most influentialessays · 3-gram7×
  35. the most significantessays · 3-gram7×
  36. the significance ofessays · 3-gram7×
  37. this essay examinesessays · 3-gram7×
  38. the effects ofessays · 3-gram10×
  39. is likely toessays · 3-gram8×
  40. members of theessays · 3-gram8×
  41. a form ofessays · 3-gram7×
  42. in a worldessays · 3-gram7×
  43. more than aessays · 3-gram7×
  44. a source ofessays · 3-gram6×
  45. all of whichessays · 3-gram6×
  46. as a resultessays · 3-gram6×
  47. in order toessays · 3-gram6×
  48. in the endessays · 3-gram6×
  49. in this senseessays · 3-gram6×
  50. into one ofessays · 3-gram6×
  51. known as theessays · 3-gram6×
  52. not as aessays · 3-gram6×
  53. not merely toessays · 3-gram6×
  54. of the twentiethessays · 3-gram6×
  55. quality of lifeessays · 3-gram6×
  56. rather than anessays · 3-gram6×
  57. the boundaries ofessays · 3-gram6×
  58. the case ofessays · 3-gram6×
  59. the company hasessays · 3-gram6×
  60. the future ofessays · 3-gram6×
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  62. to participate inessays · 3-gram6×
  63. tools such asessays · 3-gram6×
  64. value of theessays · 3-gram6×
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  66. even in theessays · 3-gram6×
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  70. the decision toessays · 3-gram6×
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  78. and perhaps mostessays · 3-gram5×
  79. and respect foressays · 3-gram5×
  80. and the potentialessays · 3-gram5×
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  82. as a wholeessays · 3-gram5×
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  92. lies in itsessays · 3-gram5×
  93. not merely theessays · 3-gram5×
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  95. of dollars inessays · 3-gram5×
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  115. the most sophisticatedessays · 3-gram5×
  116. the most visibleessays · 3-gram5×
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  120. the world's mostessays · 3-gram5×
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  122. trust in theessays · 3-gram5×
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  124. treated as aessays · 3-gram7×
  125. an environment inessays · 3-gram6×
  126. become one ofessays · 3-gram6×
  127. be treated asessays · 3-gram5×
  128. billions of dollarsessays · 3-gram5×
  129. companies in theessays · 3-gram5×
  130. during periods ofessays · 3-gram5×
  131. every stage ofessays · 3-gram5×
  132. hundreds of millionsessays · 3-gram5×
  133. in their ownessays · 3-gram5×
  134. in whichessays · 2-gram61×
  135. a singleessays · 2-gram45×
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  140. should beessays · 2-gram28×
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  158. quality ofessays · 2-gram23×
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  180. response toessays · 2-gram19×
  181. so thatessays · 2-gram18×
  182. invest inessays · 2-gram17×
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  184. cannot beessays · 2-gram16×
  185. including theessays · 2-gram16×
  186. than theessays · 2-gram16×
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  190. need toessays · 2-gram15×
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Same prompt, two outputs

14 of 100
Input prompt

Write the original essay for the following summary: Human multitasking can be described as a characteristic that stands for people being capable of completing more than one task at the same time. Even though it derives from computer-based multitasking, it is different because human contexts tend to switch more often than their digital counterparts. Accordingly, insufficient attention causes humans to lose focus and spend more time instead ( The ability to train to multitask is a relevant research question that is addressed to help humans improve coordination and avoid interruptions.

Document similarity5.3%
GLM 5.2186 words
In the modern professional environment, a relentless demand for productivity often culminates in the expectation that individuals should juggle multiple responsibilities simultaneously. This phenomenon, known as human multitasking, can be described as a characteristic that stands for people being capable of completing more than one task at the same time. The term itself derives from the realm of computer science, where machines process multiple streams of information concurrently. However, a crucial distinction exists between digital and human execution: human contexts tend to switch far more often and unpredictably than their digital counterparts. Consequently, the cognitive load required to manage these switches often results in insufficient attention, causing humans to lose focus and ultimately spend more time on tasks than if they were executed sequentially. Despite these inherent limitations, the ability to train to multitask has emerged as a highly relevant research question, offering a potential pathway to help humans improve coordination and avoid disruptive interruptions. To understand the complexities of human multitasking, one must first examine its computational origins. In computer operating systems, multitasking is achieved through time-sharing, where a processor allocates fractions of a second
Kimi K31,055 words
# The Myth and Mechanics of Human Multitasking In an era defined by constant connectivity, the ability to juggle several activities at once has become a celebrated hallmark of productivity. Employees answer emails during meetings, students scroll through social media while listening to lectures, and drivers negotiate traffic while conversing with passengers. This behavior is commonly labeled "multitasking," a term borrowed from computer science that describes the apparent capacity to complete more than one task at the same time. Yet despite the widespread use of the word, human multitasking is fundamentally different from the digital process that inspired it. Unlike machines, people do not truly execute tasks in parallel; instead, they switch rapidly between contexts, and this switching carries significant cognitive costs. Understanding the nature of human multitasking—its origins, its limitations, and its potential for improvement through training—is therefore essential for anyone seeking to work efficiently in a distracted world. The concept of multitasking originated in the world of computing, where it refers to an operating system's ability to run multiple processes concurrently. Early computers could handle only one instruction at a time, but advances in processing power allowed machines to allocate resources across several programs, creating the illusion—or in the case of multi-core processors, the reality—of simultaneous execution. When psychologists and popular writers adopted the term to describe human behavior, they imported an assumption that has proven misleading: that the human brain, like a computer, can divide its resources cleanly among competing demands. In reality, the brain's architecture imposes strict bottlenecks on attention. While a computer distributes tasks across independent processing units, the human mind relies on a single, limited channel of conscious focus, making true parallel processing of complex tasks virtually impossible. What humans actually do when they "multitask" is switch rapidly between activities, a process researchers call task-switching or context-switching. Remarkably, human contexts tend to switch far more often than their digital counterparts. A computer might alternate between processes according to predictable algorithms and stable priorities, but a person may shift attention every few seconds in response to notifications, stray thoughts, environmental stimuli, or internal impulses. Studies of workplace behavior have found that knowledge workers change tasks every few minutes on average, and once interrupted, they may take considerable time to return to their original activity. This frenetic switching distinguishes human multitasking from machine multitasking not merely in degree but in kind: where computers switch efficiently and without loss, humans pay a toll with every transition. That toll is exacted primarily through attention, the cognitive resource that multitasking stretches most thinly. When attention is divided or repeatedly redirected, it becomes insufficient to support deep engagement with any single task. Each switch requires the brain to disengage from one set of goals and rules, then load a new set—a process that, though it may take only fractions of a second, accumulates into substantial "switching costs" over the course of a day. Psychologists have demonstrated that people who alternate between tasks take longer to complete them and make more errors than people who finish one task before beginning another. The paradox of multitasking is therefore that it consumes the very resource it promises to save: time. A person who attempts to write a report while monitoring messages may feel busy and productive, yet will typically spend more total time on both activities than if they had addressed them sequentially, all while producing work of lower quality. The consequences extend beyond efficiency. Insufficient attention erodes the depth of thought required for learning, creativity, and sound judgment. When focus is fragmented, information is processed superficially and stored weakly in memory, which helps explain why students who multitask during study sessions often retain less material. Moreover, chronic multitaskers may train themselves into habits of distraction; research on heavy media multitaskers suggests they become more susceptible to irrelevant stimuli and less able to filter out distractions even when they intend to concentrate. Far from becoming skilled jugglers, frequent multitaskers may actually be cultivating a restless, easily diverted mind. These findings raise a compelling research question: can the ability to multitask be trained? If switching between tasks is an inescapable feature of modern life, then improving the speed and smoothness of those transitions would carry enormous practical value. Researchers have approached this question from several angles. Some studies have examined whether practice with dual-task paradigms—such as responding to visual and auditory signals simultaneously—can reduce interference between tasks, and results suggest that certain combinations of activities can indeed become less disruptive with repetition, particularly when one task can be automated. Other investigations have explored whether brain-training programs or action video games enhance general cognitive flexibility, though evidence for broad, transferable improvements remains mixed and contested. Still other work focuses on metacognitive strategies: teaching people to recognize when their attention has drifted, to manage interruptions deliberately, and to structure their environments so that switching occurs at natural breakpoints rather than mid-thought. Perhaps the most promising insight from this line of research is that training may be less about learning to do two things at once and more about learning to coordinate—sequencing tasks intelligently, protecting stretches of uninterrupted focus, and minimizing the frequency of unnecessary switches. Techniques such as time-blocking, batching similar activities, silencing notifications, and establishing clear boundaries between work modes all function as forms of applied training, reshaping habits so that attention is spent wisely rather than scattered. In this sense, the goal of multitasking research is not to transform humans into computers but to help people navigate a computer-saturated environment without sacrificing the qualities—sustained thought, careful judgment, creative insight—that machines cannot replicate. Human multitasking, then, is best understood not as a genuine capacity for simultaneous thought but as a characteristic pattern of rapid, costly switching between tasks. Born from a computing metaphor, the concept misleads when it suggests that minds can parallel-process like processors. In practice, insufficient attention causes people to lose focus and spend more time, not less, on the very tasks they hope to accelerate. Yet the story is not entirely discouraging. By treating multitasking as a skill to be studied and trained—one grounded in coordination, interruption management, and respect for the limits of attention—researchers and individuals alike can mitigate its costs. The future of productivity may depend not on doing more things at once, but on learning, with discipline and self-awareness, when to do only one.