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Waste of effort... of Opus? If "Opus effort" is cheaper, than dev hours managing yourself more dumb/effective model, what is the point?
rich people dont concern themselves with the cost of tokens.
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All Zen is about releasing those attachments. Granted it's pretty hard, because if you succeed, you're enlightened. East, West, Religion, Practice… From a Zen perspective, you're just troubling your mind with binaries and conflict.
Ah and there is the dogma -- the otherness of the enlightened. The binaries still functionally exist. I see a lot of value in reflective practices. At the same time it seems unlikely to me that the point of existing is to not trouble your mind.
If Buddhism can be said to have a goal, it is to reduce suffering (including your own), so troubling your own mind is indeed something it can help with. The point of existence would be something interesting to meditate on. If you discover it, let us all know!
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For actually serious work, it's a stark difference if your proprietary and security relevant code is sent abroad to a foreign, possibly future hostile country, or is sent to some data center around the corner. It doesn't even need to be defence related.
AFAIK all these companies have SOTA or near-SOTA models available under enterprise licenses. AI companies are not interested in your secret sauce, they are trying to capture the SDLC wholesale.
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Opus is about 7 times more expensive than GLM with API pricing. And since you can only use the Opus subscription plan in CC, you're essentially locked into API pricing for Pi and any other harness. So you're either paying $1000's for Opus in Pi, or $30/month for GLM in Pi. If the results are mostly equivalent that's an easy choice for most of us.
Perhaps I'm being extremely daft: If the API is 7 times more expensive, then why is it $1000 vs $30? Or is there a GLM subscription one can use with Pi? Certainly not available in my (arguably outdated) Pi.
Kimi K2.6 also released today. I think it's fair to compare the two models. Qwen appears to be much more expensive: - Qwen : $1.3 in / $7.8 out - Kimi : $0.95 in / $4 out -- The announcement posts only share two overlapping benchmark results. Qwen appears to score slightly lower on SWE-Bench Pro and Terminal-Bench 2.0. Qwen : - Teminal-Bench 2.0: 65.4 - SWE-Bench Pro: 57.3 Kimi : - Terminal-Bench 2.0: 66.8 - SWE-Benc…
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If you view the "thinking" traces you can see why; it will go back and forth on potential solutions, writing full implementations in the thinking block then debating them, constantly circling back to points it raised earlier, and starting every other paragraph with "Actually…" or "But wait!"
I see this with Opus too.
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Perhaps I'm being extremely daft: If the API is 7 times more expensive, then why is it $1000 vs $30? Or is there a GLM subscription one can use with Pi? Certainly not available in my (arguably outdated) Pi.
You can use GLM’s coding plan in Pi, just use the anthropic API instead of the OpenAI compatible one they give.
It also compresses the context at around 100k tokens.
In case anyone is interested: https://github.com/sebastian/pi-extensions/tree/main/.pi/ext...
Ok I find it funny that people compare models and are like, opus 4.7 is SOTA and is much better etc, but I have used glm 5.1 (I assume this comes form them training on both opus and codex) for things opus couldn't do and have seen it make better code, haven't tried the qwen max series but I have seen the local 122b model do smarter more correct things based on docs than opus so yes benchmarks are one thing but realit…
>but I have seen the local 122b model do smarter more correct things based on docs than opus Could you please share more about this
One Is for local opencode coding and config of stuff the other is for agent-browser use and for both it did better (opus 4.6) for the thing I was testing atm. The problem with opus at the moment I tired it was overthinking and moving itself sometimes I the wrong direction (not that qwen does overthink sometimes). However sometimes less is more - maybe turning thinking down on opus would have helped me. Some people said that it is better to turn it of entirely when you start to impmenent code as it already knows what it needs to do it doesn't need more distraction.
Another example is my ghostty config I learned from queen that is has theme support - opus would always just make the theme in the main file
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You're not giving an AI command line access to your work computer? How do you expect to keep up? /s
You give it command line access in a VM...