
APIMaster.ai
Detect fake LLM APIs & reveal the real model underneath
What it does
The original idea was simple: I kept wondering – Is this LLM API I’m paying for actually real?? So I built something to answer that question. How does the detector work? I extracted 300+ stylistic features from each model (Opus 4.8 loves saying “genuinely”, “honestly”, and using “I” a lot, for example). Then built a classifier that can tell you what model is actually running behind the API. Based on 1k+ real user tests, 41% of LLM APIs out there are fake.
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I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

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