very surprised by the sentiment against GPT 6.0 Sol, I've been using it exclusively since release and it feels like a cheaper astra to me. admittedly I haven't tried any anthropic models in a while other than small tests since i can't use my anthropic subscription in other harnesses (like OpenAI has supported natively for a long time).

If OpenAI cuts alternative harness support it will be a weird day trying to figure out what to do next, it's been so clearly the best bang for your buck (imo) for a while. maybe id finally have to give smaller models a try.

anything to avoid using the dogwater codex & claude code tuis.

anyways this seems like a nice cost improvement over GPT 6 Sol and I expect this will be my new daily driver.

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unsupp0rted 4 hours ago | parent [-]

This is the first time I've seen praise for GPT 6.0 Sol: it's widely disparaged on Reddit and here in the HN comments too. My own experience likewise shows 6.0 making loads of silly mistakes, both for things 5.6 Sol is good at and things 5.6 Luna Xhigh is good at.

	▲	ChaseRensberger 4 hours ago \| parent [-]
		well i could certainly be in the wrong; i'm just speaking from my personal and likely flawed experience but i feel like i've noticed silly mistakes in every (llm) model that has been released (and that i've sufficiently used) and it hasn't felt like 6 Sol was much of a regression from 6 Astra (more than reported in both model cards), both of which ive very extensively. not saying this is the case here but it does feel a bit like wine tasting sometimes, everyone claims to be an expert that can taste a few tokens and tell you exactly what region and vineyard its from.