Model Trace
A model fingerprinting tool that infers model identity by analyzing output characteristics, although its built-in fingerprint library contains only the GPT and Claude models.
Timeline (last 90 days)
Someone posted in a community that using Model Trace to run a fingerprint test on DeepSeek V4.1 Flash 1017, the result was identified as GPT-65 AllStar with a probability as high as 90.71%.
The video's author used Model Trace to test DeepSeek V4.1 Flash 1070, and the result was identified as Claude Sonnet 4.6 with a probability of 99.9%.
In the comments of the original Model Trace post, someone used a Python random number generator to successfully "identify" that the random numbers had distilled Claude Sonnet 5.5 and GPT-5 4.
Model Trace's GitHub repository shows that the tool's built-in fingerprint library contains only the fingerprints of two models, GPT and Claude.
All Facts (4)
Model Trace's GitHub repository shows that the tool's built-in fingerprint library contains only the fingerprints of two models, GPT and Claude.
50%UnverifiedSomeone posted in a community that using Model Trace to run a fingerprint test on DeepSeek V4.1 Flash 1017, the result was identified as GPT-65 AllStar with a probability as high as 90.71%.
50%UnverifiedThe video's author used Model Trace to test DeepSeek V4.1 Flash 1070, and the result was identified as Claude Sonnet 4.6 with a probability of 99.9%.
50%UnverifiedIn the comments of the original Model Trace post, someone used a Python random number generator to successfully "identify" that the random numbers had distilled Claude Sonnet 5.5 and GPT-5 4.
50%