The orinth local LLM isn't bad for Vibe coding.
For starters, the graphics card memory is usually small, so large models don't go up, and you have to consider the context or KV cache.
Even if you don't know how to code, it's a bit lacking when it comes to analysis or such tasks.. Every time I put the source code I'm working on in GitHub and ask ChatGPT or Claude to review it, and even if I request modifications based on that, they aren't always properly reflected.
More than anything, it consumes a lot of electricity and makes the house hot.
I connect Muse Spark 1.3 super cheap version to API, so it's cheaper than the electricity bill ㅋㅋ
The house isn't hot either, and it's great.
They say the performance is about Opus in terms of listening, but even though there are times when I wish for better coding or analysis skills, it's much better than the version that runs on a low-capacity memory graphics card.
If it's a company or office, you can use something that doesn't worry about large RAM graphics cards or electricity bills, or even use Frontier top-of-the-line models.
But for hobbies at home, making things, using Muse Spark 1.3 cheaply through API is the best.
It costs $1 a day even if it runs all day long, and they also give away free tokens for Spark 1.3 on OPENCODE. If you use both alternately, the quality is maintained without any ups and downs, which is great.
