Updated Q1 2026 — Latest Model Coverage
Benchmark Results
HYBRID-DETECT™
Transparent, reproducible accuracy data across AI models, writing domains, and 100+ languages. See exactly how our 18-checkpoint detection system performs.
How We Measure Accuracy
Our benchmarks follow industry-standard evaluation frameworks to provide clear, comparable results.
Accuracy
The percentage of all texts (both AI and human) correctly classified. Higher is better.
Recall (True Positive Rate)
The percentage of AI-generated texts correctly identified as AI. Measures detection sensitivity.
False Positive Rate (FPR)
The percentage of human-written texts incorrectly flagged as AI. Lower is better.
Precision
Of all texts flagged as AI, what percentage are actually AI-generated. Measures prediction reliability.
Rigorous & Reproducible Testing
Diverse Dataset
5,000+ text samples across academic essays, news, blogs, creative writing, and technical documents.
Multi-Model Coverage
AI samples from GPT-4o, GPT-4.1, Claude 4, Gemini 2.0, DeepSeek V3, Llama 3.3, Qwen 2.5, and more.
Balanced Evaluation
Equal distribution of human and AI texts to prevent class imbalance bias.
Multilingual Testing
Benchmarks across 12 primary languages with dedicated datasets.
How We Compare
| Tool | Accuracy | Recall | FPR ↓ | Precision | Performance |
|---|---|---|---|---|---|
DC Detector Checker 👑 | 96.2% | 97.1% | 1.8% | 98.2% | |
GP GPTZero |
95.7% | 96.3% | 2.1% | 97.8% | |
OR Originality.ai |
94.8% | 95.5% | 3.2% | 96.7% | |
CL Copyleaks |
92.4% | 93.8% | 4.5% | 95.4% | |
ZG ZeroGPT |
88.6% | 90.2% | 6.8% | 93.1% |
| AI Model | Accuracy | Recall | FPR ↓ | Confidence |
|---|---|---|---|---|
| GPT-4o / GPT-4.1 | 97.8% | 98.4% | 1.5% | High |
| Claude 3.5 / Claude 4 | 96.5% | 97.2% | 1.7% | High |
| Gemini 2.0 Flash / Pro | 96.1% | 96.8% | 1.9% | High |
| DeepSeek V3 / R1 | 95.3% | 96.0% | 2.0% | High |
| Llama 3.3 / Llama 4 | 94.8% | 95.6% | 2.2% | High |
| Qwen 2.5 | 94.5% | 95.1% | 2.3% | High |