Free Llama AI Detector — Detect Meta Llama Text
Detect text generated by Meta's Llama 3, 3.1, and 3.2 models. Real-time AI analysis, no account needed.
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How Llama Text Is Detected#
Meta’s Llama models — including Llama 3, Llama 3.1, and Llama 3.2 — produce text with measurable statistical signatures. Llama output tends to have slightly higher burstiness than ChatGPT and a slightly more conversational register, but still exhibits low perplexity and structural uniformity that detectors can identify.
Supported Llama Versions#
- Llama 3 (8B and 70B)
- Llama 3.1 (8B, 70B, and 405B)
- Llama 3.2 (multimodal and small variants)
- Code Llama variants on natural-language output
- Fine-tuned Llama derivatives (when statistical patterns survive fine-tuning)
Why Llama Detection Matters#
Llama models are open-weight and increasingly deployed in self-hosted environments by businesses, researchers, and individuals. This means Llama-generated content can appear without any commercial-API fingerprints, making detection harder than for closed-API models. Our detector evaluates statistical patterns of the text itself rather than relying on API-side signals, so self-hosted Llama output is detected the same way as commercial deployments.
Llama vs ChatGPT vs Claude#
Llama output sits between ChatGPT and Claude in characteristic. It is generally more conversational than ChatGPT but less hedging than Claude. Llama 3.1 405B in particular produces output that resembles GPT-4 quality, making it the trickiest Llama variant for detection. Our detector is calibrated against all major Llama releases.
Detection Accuracy#
We achieve ~97.9% accuracy on unmodified Llama output across the supported versions. Heavily paraphrased or fine-tuned-into-a-niche-voice Llama text becomes harder — the engine reflects this with lower confidence rather than false certainty. See our methodology for full accuracy details.