Thanks for that, I hadn't scrolled down far enough.
Just want to be sure I'm reading the results correctly... When I compare GPT-5.5 with Mistral Medium 3.5, I see in the tables:
a) Mistral beats GPT in Java and C++
b) It's close for Rust
c) GPT-5.5 easily wins for Go, Javascript, Python and Typescript
Model choice really does appear to be language dependent (assuming I'm reading the results correctly).
The deeper you go into the filters (single models, cross correlated by specific languages), the smaller your sample sizes. A known limitation, tbh I doubt Mistral is better than GPT 5.5 at programming in any specific language and probably hit a few lower quality generations by GPT 5.5 by chance (but I could be wrong! We're always adding more samples so data improves over time. We always prioritize largest sample counts for near-frontier models first).