On average, AI detectors can identify 85-98%, but the rate of accuracy will be lower if the material has been lightly changed, altered, or combined with human authors. The outcomes of these tools and frameworks differ by both model and length of the text as larger words produced more consistent scores than shorter words. Also, how well the AI enables the AI creation will have a major role in determining accuracy.

Detectors trained on older models may struggle with outputs from newer LLMs like GPT-4o or Claude 3.5, since each model has distinct stylistic patterns. Most reputable tools publish their accuracy benchmarks, which is the best way to compare options, Quetext's AI Detector, for example, provides a confidence score with each scan so you understand exactly how certain the result is. For a deeper look at how detection actually works and what to expect from the top tools, this 2026 AI Detector Guide breaks it down.