A Shanghai-based lab called StepFun released an open-source model named Step-3.5-Flash that outperforms models like Claude Opus 4.5 and Kimi K2.5 in various benchmarks while costing significantly less to run. This achievement highlights the importance of efficient architecture and sparse expert selection techniques for reducing inference costs without compromising performance, offering content creators a powerful yet cost-effective tool.
Read the full article at Towards AI - Medium
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.




![[AINews] Every Lab serious enough about Developers has bought their own Devtools](https://media.nemati.ai/media/blog/images/articles/b2c1ed1a81094c5a.webp)
