Pangram 4 Achieves 99.66% Detection Rate with One Mistake per 24,000 Documents
- Published
- Jul 29, 2026 — 17:16 UTC
Pangram’s latest model, Pangram 4, achieves a detection rate of 99.66% for AI-generated text and reports only one false positive per 24,000 documents. This significant improvement in accuracy positions Pangram as a key player in the AI text detection market. However, the company has announced a price increase for its API, which will rise two- to tenfold, potentially impacting users’ cost structures. This follows previous discussions on the limitations of language models in argument diversity, highlighting the ongoing evolution of AI text detection capabilities. For developers and organizations relying on Pangram’s technology, the enhanced accuracy may justify the increased costs, as it promises to reduce the risk of misclassification in critical applications. The Decoder reported.
By Callan Zhang · Jul 29, 2026 · Editorial standards →
Summarised from the primary source with AI assistance under human editorial oversight. Turing Wire is not a primary source — read the original for the authoritative account.
Source: The Decoder