/best-of-n runs as a single agent instead of spinning up parallel model worktrees. The specified model names are ignored and no comparison output is produced.
Observe only one agent runs - no worktrees created, no model comparison shown
Note: /best-of-n also does not appear in slash command autocomplete
Expected Behavior
Per the this announcement (Cursor 3: Worktrees & Best-of-N) /best-of-n should run the task across both models simultaneously, each in its own worktree, with a parent agent comparing results.
This is a known limitation. The /best-of-n and /worktree slash commands are not yet available in the new Cursor 3 (Glass) interface — they only work in the classic editor mode.
As a workaround for now, you can switch to the classic interface: go to Cursor Settings > General > Interface and select Classic. The /best-of-n command will work there.
Alternatively, in the Glass interface, you can use the model picker UI to select multiple models (though this won’t create parallel worktrees like /best-of-n does).
For some reason, I’m seeing the selected model for all parallel agents instead of the relevant ones. “default” everywhere, instead of “gpt-54“, “opus46“, “composer2“. Classic UI
Thanks for reporting this, and for the screenshot — helpful to see exactly what’s happening.
This is a separate issue from the original report. The /best-of-n command is running and creating parallel agents, but the model names from your CSV aren’t being applied to each runner — they all fall back to “default” (Auto) instead of using the distinct models you specified.
This is a known bug that our team is actively working on fixing. For now, the runners may all end up using the same auto-routed model rather than the specific ones you listed.
I have been relying heavily on the multi-model interface/toggle and the /best-of-n, besides not working for using multiple models, also doesn’t seem to properly use other skills i reference in the prompt
Altogether this feels like a pretty significant downgrade. The UI pre 3.0 was intuitive and functional