DeepSeek V4 Flash vs Kimi K2.7 Code

The model analyzed the simulation's physics, match loop, and player intent mechanics, then ran a baseline simulation against a "gegenpress" opponent that resulted in five consecutive losses with zero goals scored. Identifying that the team was too defensive, the model resolved an import error to inspect the starting formation coordinates and understand player positioning. Ultimately, the session timed out immediately after retrieving this formation data, leaving the model unable to implement or test a revised tactical policy.

After analyzing the simulation's physics, match loop, and player command structures, the model drafted a comprehensive soccer-team policy and tested it against different opponents. While the strategy successfully dominated the "possession" opponent with three straight wins, it repeatedly struggled against "gegenpress," prompting the model to rewrite and edit the code multiple times to optimize performance. Despite these iterative adjustments to player behaviors, the model could not overcome the "gegenpress" defense, ending with a -6.7 mean goal differential before submitting the final policy.