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Ask HN: OpenAI Astra post-launch slump?

3•iJohnDoe•12h ago
Anyone frustrated with GPT-6 Astra lately? The quality swings wildly from session to session. It feels like the backend is silently redirecting to Luna or other models. I wasn't aware OpenAI did this, but now it makes so much sense because some of the answers and performance read very much like a different model.

Lately it misses obvious details in the code, only to say "oh yeah, I should have mentioned that!"

I explicitly tell it to look at the code in the context, then I start to realize it's making generalizations. "oh yeah, I should have answered from the code!"

The frustrating aspect is that the items listed above are like models from 6-12 months ago. Astra is absolutely amazing and shouldn't perform this way.

Comments

booty•12h ago
For budgetary reasons Astra is probably less than 10% of my LLM usage, but I have not noticed those swings. Just used it to review a bunch of architecture. Very strong performer.

One of the hallmarks of Luna is that it's slow. Also, while Luna's price/performance is outstanding (astounding, even) ...it's also sort of dumb. Astra isn't perfect but it's been consistently miles above Luna for me.

I believe you, though. Like many/most in this space, I suspect they mess with this stuff all the time behind the scenes. And they're not necessarily serving you the same thing they're serving me.

reddmachine•12h ago
Quite honestly 6-Astra has disappointed ever since Opus 5.5. It makes assumptions without clarification, burns through weekly quotas and just feels slower and more clunky. 6.1-Sol seems to have the right balance of quality for price/usage.

I start everything with an Opus 5.5 first step and maybe have 6-Astra review on High effort.

kingkongjaffa•6h ago
Why are the OP and /booty talking about Luna?

Sol is the next biggest model and pretty good, Luna isn't even in the conversation?

Vercel should fork and maintain Deno

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