Hopefully the recent work Moonshot did with Kimi K2.7 Code trickles in to the other open-model labs.
Per AA, while K2.7 Code is roughly on par w/ K2.6 in terms of intelligence, it uses half the output tokens to get there.
Per AA, while K2.7 Code is roughly on par w/ K2.6 in terms of intelligence, it uses half the output tokens to get there.
Don't have any evals indicating how it compares on upper-bound quality, but for a well-defined task it seems like GLM 5.2 on "High" is remarkably token efficient. Looking forward to seeing where it lands on the AA index.