AI Detection Breakthrough
Our best detection yet for AI-written source code is now live for all users. Model v3e is trained on Claude Opus 5.5, GPT-5.6 Sol and GPT-5.5 Codex submissions. It achieves 90% accuracy with a 1.3% false flag rate on human-written code, making our AI Code Detector the most accurate in the world.
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- AI/GPT code caught
- 90%
- False flags, human code
- 1.3%
- Trained on
- Claude Opus 5.5GPT-5.6 SolGPT-5.5 Codex
Built to generalize
We believe v3e is a generalized model of AI-written source code, and a future-proof one. It learns what AI-written code has in common rather than the fingerprint of any single model, so it keeps catching AI-written code as new models are released.
A score is a signal, not a verdict
A low false-flag rate is not zero, so the dashboard shows why a file scored high.
- Check the flagged listSubmissions scoring 70% or more are marked for review.
- Read the highlighted linesOpen a submission to see the regions the score rests on.
- Then talk to the studentUse the score to start a conversation, not to close a case.
Questions
- How accurate is Codequiry's AI code detection?
- Model v3e catches 90% of AI/GPT-written code and falsely flags 1.3% of human-written code.
- Which AI models is it trained on?
- Claude Opus 5.5, GPT-5.6 Sol and GPT-5.5 Codex submissions. It scores any code a student hands in, but detection can be weaker against models it was not trained on.
- Is an AI score proof that a student cheated?
- No. A score is a signal, not a verdict. Open the submission, read the highlighted lines and talk to the student before acting.
- How do I try it?
- Start a free trial and upload an assignment. The AI Detection tab appears next to the plagiarism results.
How detection works, file by file: the AI Detector
Try it on your next assignment
Start a free trial, upload a class's code and see the AI scores next to the plagiarism results.
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