This is a shame, and hopefully it reverts soon. I switched from Claude to Codex just before the Fable release because Claude doesn't follow instructions and goes off the ranch too frequently. I really don't want to have to switch back to what I consider to be a fundamentally worse model.
OpenAI reduces Codex Model Context Size from 372k to 272k
141–150 of 194 posts
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#142Earlier quoted context omitted.
Claude Code is much nicer than Pi, especially for long running autonomous work. Pi might be OSS but it's just not nearly as featureful or agentic as Claude Code.
I agree, but when it comes to the Pi defaults. I’ve spent a good deal of time (admittedly via vibe coding) writing extensions that completely alter the look/feel as well as functionality of Pi. I view Pi as similar to NeoVim, both programs have kinda crappy defaults that nobody should really use but are incredibly extensible and customizable for power users willing to invest their time into them.
Interesting comparision with NeoVim, given that it was basically created to provide a better default (config) experience than classic vim. We might be close to PostNeoVim (or is helix [0] already that?).
[0]: helix: A post-modern text editor. https://helix-editor.com/
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#143Earlier quoted context omitted.
To see replies: https://xcancel.com/thsottiaux/status/2076543065045795309 The linked tweet is an unofficial reply to Tibo's official info and Tibo makes a correction in a reply.
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X.com is not publicly accessible. I wish people would stop using it as a source
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#1445.6 is a mess
Please elaborate.
> Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something.
Sincerely, HN Guidelines Police :-)
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#145Not a fan of their context compaction and I feel like 1M-token context should minimum today. Each day I see how GPT 5.5 and 5.6 struggle a bit after each compaction before they get to the full speed, sometimes focusing too much on some older steering message that made it into the compacted context.
Note that GPT-5.6-Sol is ~2x as token efficient as Opus/Fable, so a 258K max is equivalent to ~516K on Claude models. You also may just be fooling yourself, as context rot is still a problem[1][2] and there's evidence compaction can be equivalent or better than longer context windows for agentic tasks[3]. Obviously it would be best if the models could reason over 1M context like they do over 256K context, but they ca…
The improved token efficiency would only account for the output and reasoning tokens occupying context, right? What about the user messages and other context like file contents? I’m not sure how these measure up in a long conversation
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#146Earlier quoted context omitted.
I agree. Compaction sucks, so I made tools that let the LLM selectively delete (and recall if needed) chunks of its context. You might want to try context bonsai if you're routinely hitting the auto-compaction wall. https://github.com/Vibecodelicious/context-bonsai-agents
This is actually brilliant. I've seen other approaches where the context is selectively pruned, but never in a recoverable way. P.S. Love the "bonsai" name btw!
ive built a variation that spins the chunks out as if they had been done by a subagent, and so the summary is like what the subagent returns
i couldnt figure out a nice enough way to reload the conversation, and didnt want to have to worry about the cache rebuilds so its a bit languishing
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#147Earlier quoted context omitted.
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I did find a strategy, thank you very much, and it was easy: npm uninstall -g @openai/codex && curl -fsSL https://claude.ai/install.sh | bash This was the final straw that got me to downgrade my OpenAI subscription and move the bulk of my spending to Anthropic and Claude code. OpenAI devs, if you're reading, this is how you lost a customer.
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Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#148Earlier quoted context omitted.
> I never felt that context size was any issue at all in codex. I'm guessing you just started using codex, it suffered greatly from "model context size exceeded" errors early on, where compaction couldn't even recover from it, these errors just stopped happening maybe some month(s) ago. Nowadays it's a lot better though and I've don't get stuck in those anymore. Although I don't like the idea that they don't surface…
That has nothing to do with context window or the models at all; it's the compute capacity. Pretty much every single AI firm had the same issue when the new model came out, it's the result of everyone jumping onboard and consuming all available compute capacity to break it for days. Claude had the same issues when they released their newer models.
> That has nothing to do with context window or the models at all; it's the compute capacity.
Quite literally a harness feature/bug though, that it's unable to compact when reaching the max context (which seemingly both codex and Claude Code struggled with in the beginning), not something that will happen at every model release forever.
Hasn't happen for at least the two last model releases in Codex, not sure why you'd imply that.
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#149I didn't try long coding sessions for a while. I had really noticeable performance degradation with all models above 100-150k and always try to stay below those numbers.
Re: OpenAI reduces Codex Model Context Size from 372k to 272k
#150I don't know if this is why they did it, but I think it is generally a mistake to go beyond this context size anyway. I don't think people realize how much dumber the models get at larger contexts and how much more the token cost is. I never let claude get about 300k and in general I don't compact, I just divide up the work in chunks where I can fit it into 300k and I try to keep really clean and slim docs and modula…
Exactly my experience. I would even draw the border at 100-150k. Long contexts would be nice, but they just don't work well, even if the models support them.