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now really the spelling changes

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Firehose Bot 2026-04-29 16:02:08 +01:00
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app/priv/blog/engineering/2026/04-24-smaller-open-llms-now-work-for-open-agents.md
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@ -25,7 +25,7 @@ I have been using Claude Code for about a year. I noticed last week I started ta
That also gave me some anxiety. What if my account got pulled for whatever reason? It was clear from the start of the monthly subscriptions (to me and many others. not everyone apparently) that this was not sustainable, and that at some point they would have to raise prices. Anthropic is now putting more and more of their stuff behind per-token pricing. And their models are expensive. That also gave me some anxiety. What if my account got pulled for whatever reason? It was clear from the start of the monthly subscriptions (to me and many others. not everyone apparently) that this was not sustainable, and that at some point they would have to raise prices. Anthropic is now putting more and more of their stuff behind per-token pricing. And their models are expensive.
If you have to prompt precisily, you can just as well use a smaller model If you have to prompt precisely, you can just as well use a smaller model
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At the same time, Opus 4.7 requires more explicit prompting. Probably to compete with OpenAIs models. "Creativity" is nice when you are doing an architectural spike, but less so when you try to do some precise work in a larger codebase. Small open weight models (at least until last week) also require(d?) more precise prompting. Why would you pay for an expensive frontier model + closed source harness when you have to be precise in your prompts? You might as well do the same with a local model. At the same time, Opus 4.7 requires more explicit prompting. Probably to compete with OpenAIs models. "Creativity" is nice when you are doing an architectural spike, but less so when you try to do some precise work in a larger codebase. Small open weight models (at least until last week) also require(d?) more precise prompting. Why would you pay for an expensive frontier model + closed source harness when you have to be precise in your prompts? You might as well do the same with a local model.