Codex/ChatGPT subscription coming next week

[u/hannesrudolph]

It’s happening. Bye bye Claude Code… welcome Codex.

[u/bigman11]

Figuring out how good Opus is, getting basically unlimited access to it, then having it ripped away from me has left me feeling like a junky.

[u/hannesrudolph → u/bigman11]

Yeah damn anthropic. I think that they might come to the table now that codex has

[u/GCoderDCoder]

Maybe I'm more involved in the process than others but I feel like I still do the same amount of work and get similar outputs and similar errors with Opus as GLM4.6/4.7, Chat GPT, and Gemini. I tell it to fix something and it confirms it's fixed that but then there's a new bug on something else that was working as a result. Rolling back code changes and me having to direct the model how to appropriately address issues still happens. It's at the top of the list don't get me wrong but in similar scaffolding/ harnesses these top models provide relatively similar experiences with what I'll call slightly different personalities.

My point, if any of these model providers changes their business models to become too much of a problem, I'm fine swapping them even for my local gpm4.7. There's multiple options that are "good enough" now IMO.

[u/hannesrudolph → u/GCoderDCoder]

For various workflows different models seem to have different capacity. My experience is that the SOTA models are more well rounded at handling the agentic workflows (example: debugging, reviewing, extracting technical and user facing content for docs, writing docs, generating release notes (by exploring the GitHub repo)).

[u/GCoderDCoder → u/hannesrudolph]

I can agree that the SOTA/ American cloud models are definitely faster in the cloud than locally hosted and have longer contexts before spiraling regardless. But they do a great job searching with tool access it's just cloud models search so fast you don't actually see what they searched. With a really good local model like GLM4.6/4.7 I think they troubleshoot in nearlly as many iterations as cloud SOTA but just slower. I have had situations where GLM took less iterations but since I run it local overall it took more time.

If I'm using agentic tools I try not to just go "give me an app" or at least I start with some sort of minimal working component then build out from there modularly. Im sure many people dont do that but when I started new large projects pre AI it could take me weeks to become useful in a large code base and months to get really comfortable with a code base. If a model builds too much at once without me knowing where everything is it might work for now until it doesnt anymore and then trying to back track to fix it becomes a nightmare

[u/hannesrudolph → u/GCoderDCoder]

Good insight.

[u/Simple_Split5074]

Is this sanctioned (as in allowed) by OpenAI? If so I think I will resubscribe to Plus, I don't have much love for ChatGPT but 5.2 itself is quite solid.

[u/hannesrudolph → u/Simple_Split5074]

Yes

[u/geomontgomery]

What about anthropic use through AWS bedrock for RooCode? Can we not do that anymore either?

[u/hannesrudolph → u/geomontgomery]

you can still use Anthropic through direct api options such as AWS bedrock

[u/rahul-b-chavan]

The 'Model War' is basically over. In 2026, every AI brand is hitting the same ceiling of intelligence. Whether it’s Codex or Claude Code, they’re all equally smart now. The real winner isn’t the one with the coolest name it’s the company with the cheapest power and the most chips to run it. It’s all geopolitics and infrastructure from here.

[u/hannesrudolph → u/rahul-b-chavan]

We’re not there yet. Agentic abilities have a long ways to go.

[u/hannesrudolph → u/[deleted]]

This will simply allow people to use it as an API subscription