Comment by mgambati
5 hours ago
1m context in OpenAI and Gemini is just marketing. Opus is the only model to provide real usable bug context.
5 hours ago
1m context in OpenAI and Gemini is just marketing. Opus is the only model to provide real usable bug context.
I'm directly conveying my actual experience to you. I have tasks that fill up Opus context very quickly (at the 200k context) and which took MUCH longer to fill up Codex since 5.2 (which I think had 400k context at the time).
This is direct comparison. I spent months subscribed to both of their $200/mo plans. I would try both and Opus always filled up fast while Codex continued working great. It's also direct experience that Codex continues working great post-compaction since 5.2.
I don't know about Gemini but you're just wrong about Codex. And I say this as someone who hates reporting these facts because I'd like people to stop giving OpenAI money.
What's wrong with OpenAI?
When Anthropic said they wouldn't sell LLMs to the government for mass surveillance or autonomous killing machines, and got labeled a supply chain risk as a result, OpenAI told the public they have the same policy as Anthropic while inking a deal with the government that clearly means "actually we will sell you LLMs for mass surveillance or autonomous killing machines but only if you tell us it's legal".
If you already knew all that I'm not interested in an argument, but if you didn't know any of that, you might be interested in looking it up.
edit: Your post history has tons of posts on the topic so clearly I just responded to flambait, and regret giving my time and energy.
4 replies →
Source? I ask because I use 500k+ context on these on a daily basis.
Big refactorings guided by automated tests eat context window for breakfast.
i find gemini gets real real bad when you get far into the context - gets into loops, forgets how to call tools, etc
I find gemini does that normally, personally. Noticeably worse in my usage than either Claude or Codex.
I find Gemini to be real bad. Are you just using it for price reasons, or?
How many big refactorings are you doing? And why?
How is that relevant? we are talking about models, now what you do with them.
Codex high reasoning has been a legitimately excellent tool for generating feedback on every plan Claude opus thinking has created for me.