Anthropic's Models are better though. It may not "perform" as well on the LLM task benchmarks, but its the only one that actual gives semi-intelligent responses and seems aligned with human wants. And yes, they definitely have much better execution. It's the only one I considered shelling out 20 bucks for.

GPT 5.2 Codex is often better and more thorough than Opus 4.5, it's just slower.

they should just acquire one of the many agent code harnesses. Something like opencode works just as well as claude-code and has only been around half of the time.

I used opencode happily for a while before switching to copilot cli. Been a minute , but I don't detect a major quality difference since they added Plan mode. Seems pretty solid, and first party if that matters to your org.

As evidenced by Anthropic models not performing well in github presents copilot.

I read that a few times but from my personal observations, Claude Opus 4.5 is not significantly different in GitHub Copilot. The maximum context size is smaller for sure, but I don’t think the model remembers that well when the context is huge.