摘要
AI Humanizer Benchmark 2026 is an independent benchmark designed to evaluate which AI humanizers perform best across AI-detection bypass, meaning preservation, readability and consistency.Humanizer Benchmark 2026 presents a comparative independent evaluation of seven AI humanization tools: GPTHuman, StealthGPT, Humanize AI Pro, HIX AI, BypassGPT, Netus AI, and NoteGPT AI Humanizer. The September 2026 benchmark evaluated 150 English source texts per tool, producing 1,050 primary rewrites and 5,250 detector assessments across GPTZero, Originality.ai, Copyleaks, Winston AI, and ZeroGPT.Tools were evaluated across four dimensions: detection bypass, meaning preservation, readability, and consistency. GPTHuman achieved the highest reported overall score of 88.28, followed by StealthGPT at 81.14 and Humanize AI Pro at 79.52.This research package includes the full benchmark report, detailed methodology and reproducibility protocol, dataset documentation and data dictionary, aggregate leaderboard data, sample-level evidence, scoring rules, and validation code. The project received no external research funding. Data are released under CC BY 4.0, and repository code is released under the MIT License.Humanizer Arena Benchmark is run independently by Terry Smith (Terry Smith is an English professor based at The University of Texas at El Paso (UTEP) in El Paso, Texas.https://independent.academia.edu/aihumanizer)