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Re:GLM-5.2 is the step change for open agents by whazor on Thursday June 25, 2026 @07:55AM (#48672104)
The problem is that the differences between flagship and local models are compounding heavily. An 4% different could be massive when you keep iterating on the same code base.
Re:GLM-5.2 is the step change for open agents by swiftcoder on Thursday June 25, 2026 @09:35AM (#48673161)
> The problem is that the differences between flagship and local models are compounding heavily

This depends a lot on how you work, and how much of the architectural thinking you do yourself.

People seem to lose sight of the fact that a flash model today is as powerful as a frontier model from a year ago. If you were happy with GPT 4.x, you should be ecstatic that equivalent power is now basically free...

Re:GLM-5.2 is the step change for open agents by wolttam on Thursday June 25, 2026 @11:52AM (#48675257)
I am one of those ecstatic folk :)
Re:GLM-5.2 is the step change for open agents by jmalicki on Friday June 26, 2026 @05:28AM (#48684380)
I find that with a lot of the cheaper models, I end up spending a lot more time correcting the easy stuff.

If I am 100% spot on on the architectural stuff, I have anecdata that some of the frontier models might actually be cheaper than "cheaper" alternatives once you look at what it takes to get to good output, since they require less correction.

But that is on pure token costs. When you value the human overseer's time, there is just no competition. A model that is 10x more expensive that requires 10% less oversight is just a plain win.

Re:GLM-5.2 is the step change for open agents by swiftcoder on Friday June 26, 2026 @08:26AM (#48685840)
> A model that is 10x more expensive that requires 10% less oversight is just a plain win

I think you are drastically underestimating the cost delta here. We're talking models we can run pretty much continuously for $10/month in tokens.

Re:GLM-5.2 is the step change for open agents by jmalicki on Friday June 26, 2026 @10:46AM (#48687281)
For $400/mo I can run multiple continuous sessions of frontier models.