One thing to consider: we don’t know if these LLMs are wrapped with server-side logic that injects randomness (e.g. using actual code or external RNG). The outputs might not come purely from the model's token probabilities, but from some opaque post-processing layer. That’s a major blind spot in this kind of testing.