No one has really talked about hybrid and using Opus to plan and orchestrate GLMs work both through initial build and code reviews. That’s a true best of both worlds and there doesn’t need to be a winner.

This is the way but Anthropic doesn’t make it easy, so I use GPT 5.5 in that role since I can use my subscription in OpenCode or OMP.

I also use MiniMax-M3 in utility roles like explore/library tasks.

I’ve had a z.ai subscription for several months so I’m on the older pricing. I’m really not sure it would make sense to do this at current rates - I could bump my Codex plan instead.

I mostly use Opus for skill development. Once I have a solid skill implementation with a good eval, I move ongoing execution to a cheaper model running under Goose. With the eval you can see if the cheaper model works well enough.