I created this and I would say glm-4.7 accounts for 80% of the code in https://github.com/gitsense/gsc-cli

If you look at a file like:

https://github.com/gitsense/gsc-cli/blob/main/internal/cli/r...

you can see that I attribute the models used. What I found was 4.7 was not very good at `go` code which was why you started to see `Gemini 3 Flash` in the attributions.

4.7 is what Cerebras provide and for me, speed in iterations is a lot more important. Having played around with MiMo v2.5.0-Pro, I am 100% sure it could have done what Gemini 3 Flash did.

There were a few points where I was stuck and needed Sonnet to explain things to me, but I think the dirty secret that Anthropic and OpenAI won't tell you is, if you know how to code, the models are honestly good enough.

Based on my experience with MiMo and what others are saying about GLM 5.1, we are now in a hardware race. The Chinese Models are 100% drop in replacement for Claude if you know how to program but want to AI to help amplify what you know. What I will consider now is what provider can provide the fastest inference.

MiMo-v2.5.0-Pro-Ultraspeed is really good at generating good results quickly and burning your money as fast.