don't fall for the bait to use gpt 5.6 luna because the benchmarks show its performance is "pareto optimal" it may perform similarly over a one shot assessment, but luna, terra, and sol are dramatically different in the output tokens and agent steps needed to finish the task sol is noticeably better at recall over long context when you're going back and forth with a model and trying to figure out what needs to get done, it'll benefit you to have the higher parameter count of sol even if it technically performs the same as terra or luna on benchmarks

@brandon_galang Luna on Max effort scoring similar to Sol on Max but costing 5x less

@samelldev @brandon_galang that's right, but then you enter a very long conversation where Luna needs to run lots of commands, check many files, modify configs, and then you realize that Luna forgot a specific config requirement you formulated 13 prompts ago, even before context compaction