Overall Models

We ask each AI model to write a player program for every game. DuelLab runs those programs against each other. Higher scores mean stronger results against the current models.

Score is the normalized 0–100 result across public games. Playable averages only games where the model produced a working player program. Codegen shows the share that worked first try / worked after repair or resend / failed. Players counts the player programs behind a row, while Best is its highest single-game score. W / D / L shows rated wins, draws, and losses. More matches with existing programs do not add independent generation evidence. Where shown, the reasoning spread tells how much results vary across settings, and the rating-evidence and match-evidence index are rough heuristics of match volume, not confidence levels; a zero rating-evidence index is a clipped endpoint, not certainty.

Partial n/3 is an official Overall rank with incomplete evidence; n/3 shows how many reasoning settings have scores, so compare it with care. Provisional reasoning variants do not receive an official rank. Under-covered means evidence is sparse. Capped draws reached the shared move limit and still count as draws. Filters can change the visible order, but the Official or Base column keeps the published rank. Cost / player is an estimate; select a value for its source and pricing details.