Ab Testing For Models

via “side-by-side anonymous model comparison interface”

Crowdsourced LLM evaluation — side-by-side blind voting, Elo ratings, most trusted LLM benchmark.

Unique: Implements strict anonymization of model identities during comparison to eliminate brand bias, combined with real-time parallel response generation from two models to the same prompt. The UI design ensures neither model is visually favored (equal screen real estate, randomized left/right positioning).

vs others: More resistant to brand bias than closed-door evaluations or leaderboards that reveal model names, and captures real-world preference data at scale vs. small expert panels