@morganlinton@VulcanBench Very interesting and surprising. Compared to your previous Sol benchmark with Opus and Sonnet, it feels like Haiku is on the same ballpark as Sonnet at Max?
@johncodes How many contributors do you want on LibreOffice.
Also my money, my tokens, no need for socialist tendencies on how people should use their tokens .
Okay, just got the results of my Sonnet 5.5 benchmark with @VulcanBench on my Frontier v4 eval suite.
Super interesting, not what I was expecting.
It's amazing how many times my own benchmarks surprise me.
While both Opus 5.5 and Sonnet 5.5 do score higher than GPT-6.1 Sol, it's not by much, and Sol is just sooooo much more cost effective.
At the same time, looking at Opus 5.5 specifically, it is definitely ahead enough, especially and Medium and High effort levels, that I do see a strong reason to give it your hardest tasks.
But for easy and medium difficulty stuff, not really sure why you wouldn't use GPT-6.1 Sol, the cost-per-task is just insanely low.
I test all Claude models in Claude Code and OpenAI models in Codex, so could also be that @thsottiaux and team are working some magic with Codex to help with token efficiency, because this is pretty wild.
Adding to the VulcanBench site and Github soon so everyone can dig into the data.
Everything I do is independent and open source, you can look at the data from every single run, even run it all yourself if you want to.
Live long and benchmark 🖖