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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.

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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.

You should run the maths once. Those tokens cost you much more than the hardware would. But yeah, CAPEX vs OPEX something something.

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