I turned off Anthropic properly and switched all of that over to OpenAI yesterday. (I use other models for other things too, especially DeepSeek in Pi).

Honestly aside from the voice it uses you wouldn't notice a difference. Switching costs are low, vote with your wallet.

> I turned off Anthropic properly and switched all of that over to OpenAI yesterday.

Same, just a while longer ago.

I much prefer how OpenAI models write to Anthropic's, will probably revisit Anthropic in a generation or two. Context size is more limited, but no critical forgetfulness due to compaction so far, though I also like having plan files around both for future reference and improving chances of success at long form work.

Also tried out Kimi K3, was nice but slow (and apparently routed some requests to Claude anyways), GLM 5.3 was faster and still pretty good but the token allowances were kinda limited.

OpenAI is a better value proposition too because they give you effectively infinite image generation + chat usage, which is separate from work/codex.

So you voted for Kodos instead of Kang [1]. Local models are the way out of the rug pulling

[1] https://m.youtube.com/watch?v=BUAnyVAanac&ra=m

I don't actually disagree, and advocate that for now the thing to do is use both.

You need to use frontier models to understand where the puck is going, but also to use local ones for anything remotely sensitive.

I would like to have alternative to chat - model and provider agnostic (BYOK), but with history, project, maybe memory, with good search and quality tools. I know openwebui and i dont want to host it.

codex (their app) is pretty good and lots of banked resets, luna is cost effective and Astra seems better than Fable for many tasks. Most important one is less refusals and I can use it the way I want without the fear of getting banned. I do like Claude Code a lot when it comes to pure coding use cases but the work often touches outside code and I don't want to keep switching

> I do like Claude Code a lot when it comes to pure coding use cases

The harness is great, but opus is such an arrogant little prick that spews out unintelligible word salad. Opus 5 is so bad at communication it amazes me that somebody green-lit it. It's absolutely awful.

The fact that this isn't an acknowledged regression (and Fable 5.1 isn't much better) leads me to believe that people at Anthropic actually like Opus 5's output.

Of the major providers, Codex/Astra. By far the highest quality model, especially for cross-discipline work.

Opencode Go.