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AI Detector Leaderboard: Independent Quality, Privacy and Security Scores

huby scores 9 AI detectors across six categories. As of October 2026, Copyleaks leads at 3.8 overall, followed by Pangram at 3.7. Overall scores range from 2.7 to 3.8, and no detector reaches 4.0. Security is the weakest category on average (3.0), while Use Cases & Pricing is the strongest (3.6).

Product Leaderboard

Highest-scoring AI tools by category

A snapshot of AI detectors across huby's evaluation criteria.

CompareCopyleaks vs PangramCopyleaks vs GPTZeroPangram vs GPTZero

1CopyleaksEvaluated3.7 overall6 categoriesResearch brief →
2PangramEvaluated3.6 overall6 categoriesResearch brief →
3GPTZeroEvaluated3.5 overall6 categoriesResearch brief →
4Originality AIEvaluated3.2 overall6 categoriesResearch brief →
5SaplingEvaluated3.2 overall6 categoriesResearch brief →
6QuillbotEvaluated3.0 overall6 categoriesResearch brief →
7Winston AIEvaluated2.9 overall6 categoriesResearch brief →
8ZeroGPTEvaluated2.8 overall6 categoriesResearch brief →
9Undetectable.aiEvaluated2.7 overall6 categoriesResearch brief →

How we score AI detectors

huby rates each detector in six categories: Quality, Privacy, Security, Use Cases & Pricing, Sustainability & Reliability, and Impact, Ethics & Safety. The overall score combines them, and each product links to its full evaluation report. See the methodology for weighting and evidence rules, and for how the categories map to the NIST AI Risk Management Framework.

Frequently asked questions

Which AI detector is most accurate?
Quality is the category that covers output accuracy and consistency against independent benchmarks. As of October 2026, Copyleaks scores highest on it at 3.9, ahead of Pangram at 3.7, and no detector reaches 4.0. Quality is scored separately from the overall ranking this table is sorted by, so the most accurate detector is not automatically the one in first place. Accuracy is also conditional rather than fixed: the same tool performs differently on short text, heavily edited text, and writing by non-native English speakers. Each product links to its full evaluation report, where its Quality score breaks down into the factors and sources behind it.
Can an AI detector be wrong?
Yes. Every AI detector produces false positives, where human writing is flagged as AI, and false negatives. Results shift with text length, editing and writing style, and published research finds non-native English writing is flagged more often. Treat a result as one signal to review, not proof. Quality scores across the 9 detectors huby rates range from 2.7 to 3.9, so tool choice matters.
Is 20% AI detection bad?
Not on its own. Detectors report results differently: some show the share of text flagged, others a confidence level. A 20% result usually means parts of the text resemble AI patterns, which also happens with formulaic or heavily edited human writing. Check which passages were flagged and compare them with drafts or version history before drawing conclusions.
How do AI detectors tell if text is AI?
Most score how predictable the wording is and how much sentence length and structure vary, then compare that against models trained on human and AI text. Short texts give weaker signals. huby also scores privacy, security and reliability, because what a tool does with uploaded student or client text matters as much as its verdict.
What is the best AI detector for teachers?
As of October 2026, Copyleaks (3.8) and Pangram (3.7) score highest overall on huby. For classroom use, check privacy too, since student work gets uploaded: privacy scores across the 9 detectors range from 2.3 to 3.7. Pair any detector with drafts and a conversation with the student rather than relying on one result.

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