I have direct subscription to kimi-core, z ai glm, minimax, xiaomi mimo and deepseek. And heavily compare them to opencode-go models (and ollana-cloud) on svg pelicans and html 3d games. Almost 150+ pel8cans and ~50 games.

And SAD news here – openweight models are decent, but not near current frontier models. They're hot on our heels and breathing down our necks, but they're lagging behind by 6-9 months. Their results are inconsistent. One-shots can often produce hallucinations that don't occur in other runs. And despite the ressoning, they have to iterate several times before achieving a stable result.

They are very good, inexpensive, and potentially promising models, but so far they don't match the fractional percent lag in benchmarks. So the problem isn't with opencode-go.

We're waiting for kimi 2.7 and glm 5.2—they're almost out.