Kind of cool to see.. that said, there's more to a tooling experience than benchmarks and specific models. Cursor, Claude Code, Codex, etc. add to the mix. Things like Open-Router and backend options make it easy enough to test.

The tools, libraries and languages you are using can also dramatically affect results. Even on state of the art models, I find, for example, the output of SQL for complex interactions, or C# for that matter to be sub-par, where I find Rust results to be pretty great, with JS/TS falling in between.

At the best, it can feel amazing and productive, at worst, time consuming and annoying that you could have done it faster yourself. YMMV in real world use.

Note: I'm a proponent of human in the loop gatekeeper/reviewer usage of AI, and I'm not able to even consider Chinese models for my own use, and not able to use anything at my day job.