If you don't have regulatory hurdles to jump over then there are a whole raft of open-weight models that perform basically as well as Anthropic's offerings (and, in many cases, better because they're pulling fewer capacity-stretching shenanigans). Check out Kimi, DeepSeek, and GLM series models in particular with something like OpenCode or Pi as a coding harness. If you need a Claude-alike web UI then spin up Open WebUI in a container and expose it via cloudflared so you can use it on the go.

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jatora 2 hours ago | parent | next [-]

> perform basically as well > in many cases, better

Completely, unequivocably, factually inaccurate. I wonder if you are being dishonest on purpose? Best case scenario you are advocating this from a place of little experience. Either way it is dishonest.

	▲	throw1234567891 2 hours ago \| parent [-]
		It’s not, you drink too much Kool-Aid, and your employer has too much money. Or the things you do are simply so irrelevant that nobody cares you’re sending stuff to a company of dubious morality.

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gymbeaux 3 hours ago | parent | prev [-]

Kimi and DeepSeek are impressive for their size but still run slow on any hardware you or I would have. If you’re proposing we run those via a cloud service, I don’t see a reason to do that when it’s an inferior model and I still have to pay per token for it.

	▲	alexjplant 3 hours ago \| parent \| next [-]
		OpenCode Go provides a lot of usage for these models for the paltry sum of $10/month. Z.ai's coding plan provides a single-digit multiple of Claude Code's usage for a similar price and performance level. Kimi and DeepSeek models are hundreds of billions of parameters (or, in K3's case, >1T). Many of these models have Opus-level benchmarks and, as I pointed out previously, often practically outperform Anthropic models because they're more consistent.
	▲	throw1234567891 2 hours ago \| parent \| prev [-]
		You should run the maths once. Those tokens cost you much more than the hardware would. But yeah, CAPEX vs OPEX something something.