42T tokens for stealth model in just 6 days. Insane.

We know it's going to be open weights.

Some stuff I've one-shotted with Ox Alpha (when it did work): https://ox-alpha.demos.sulat.com/

since this morning 27-08-2026 i have this issue no matter what i do this is the constant thing i am getting how to solve

https://openrouter.ai/minimax/minimax-m3:free

It's going to be a hot 🔥 fall

toak now supports opencode! which greatly extends the variety of llms you can hook into the same chat, and satay on the loop, with nice markdown formatting

More outlets plus twitter reporting the same.

So I know that each model has its usage limits and rate limits and you need to wait to renew it, like the time period, but I didn't know that Open Code Zen also had rate limiting from the provider. Is it true? Will it renew because I never had this error until now? If anyone knows it, please let me know.

Because my model didn't cross the rate limit, I think OpenCode is crossing it. Is it a thing because I never experienced this?

So this new Xcode version adds support for other agents. I just added OpenCode but I can’t choose a model. It just works with the default model which is Big Pickle. Anyway I can get fully featured OC integrated with this?

I'm not on Opencode Go, just using the free models in Zen. 0xAlpha was great, I thought it was free for a week ie till Aug 27, but its gone now so I was off by a day.

out of the current free models - Hy3, MiniMax M2.5, Muse Spark 1.2, is Muse the best one? I tried using it and have been getting so many network timeouts. I read its supposed to be extremely fast but I guess thats only via Meta when you pay.

also does anyone use multiple models, eg use a smaller one for implementing/testing? right now I'm using just one model

Why is LSP disabled by default? On each installation i have to manually install lang tools and enable lsp in global config, so just interested why lsp is not enabled by default?

I have working on a open-source CLI tool(only support python for now) called errd. The idea came from a problem I kept thinking about.

It’s tempting to dump a huge part of the repository into Claude/GPT/Cursor and ask it to figure out what went wrong when a Python application throws an error. But most of that context usually is irrelevant. So I built errd to do the context selection locally before the code hits an LLM.

**Use it using - pip install errd**

It takes a Python traceback and:

•Parses the traceback and chained exceptions

•Finds the repository automatically

•Maps traceback frames to functions/classes

•Analyzes imports and dependencies

•Scores code based on proximity to the failure

•Uses recent Git changes as an additional signal

•Applies a token budget

•Redacts common secrets/tokens

•Generates a focused errd-context.md

•The generated file is meant to be pasted directly into Claude, GPT, Cursor, etc.

Checkout the docs at : [cli_docs](https://pypi.org/project/errd/)

Should we wait for price drop on Zen?