I am trying to estimate if my reaction to seeing GPT-5.6 Sol last on that list is reasonable or or mostly emotional and find that I have no way of telling.

My intuition is that many of the better & bigger 'private' code bases, at least in terms of claude code and codex... are not in fact private at this point.

One lesson of running botsbench.com, in a slightly different domain, is to measure for model contamination every time.

this is the closest benchmark to my experience using the model harness combo. Astra for as great as it is falls slightly behind Fable 5.1 for me for large feature work (although it comments code much better). in particular, Fable is able to assess priority better than Astra (meaning Astra sometimes does things that aren’t worthwhile while missing things that are clearly important, particularly on possible ballooning scenarios- fable catches “this works for x amount of data but if we run this on y way greater than x amount of data we’ll run into issues). Gemini 3.8 is under appreciated, use Google Stitch to see it in action if you haven’t used Agy yet.

> Each task comes from a private production codebase that we licensed from a real-world company

How does that work?

So TL;DR benchmarking in a completely non-reproducible manner ?

"Model X performed great, but we can't possibly tell you anything about the code it was looking at apart from it was a large code base from an unknown company".

So basically pinky-promise benchmarking ?

I'm not sure I follow the value here ?

A bit of a meta question: what are the most relevant benchmarks by now?

Wake me up when September ends or when I can do this locally.

I think these benchmarks are not that useful, e.g. this suggests Fable is better than Astra, but in practice Astra is waaaaaay faster (like 5x; it's not even close), and also waaaay less annoying to talk to.

There's only two or three sane options here - you can easily try them all and pick yourself.

[dead]

[dead]

The fact that gemini 3.8 flash is so high up there just tells you this is an awful benchmark.

Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change.

I’ve been able to offload most tasks (coding or eles) to Codex since 5.3-codex with extra high thinking