https://www.anthropic.com/claude-fable-and-mythos-5-1

Muse Code harness is attached too :)

https://developer.meta.com/ai/resources/blog/muse-code-new-plans-and-features/

Maybe a strange post. I've been wanting to talk it out with someone. I don't have a question as such.

When DeepSeek Flash became expensive, I switched to Mimo and I am absolutely loving it . LOVING it. Not the smartest. It makes mistakes, coding-wise, quality is subpar, but It's so pleasant to use. It follows instructions, doesn't talk back, and is not a weirdo.

On the other hand Codex Sol, Terra - fucking nightmares. Soo 'random' , doing anything saying anything, ignoring everything.

Kind of confused. Am I doing something wrong ? or right? Why is an extremely cheap model that scores low on benchmarks working so well for me. Why I'm finding Frontier models unusable which Score high on benchmarks and big companies are using for everything ?

I have one theory. I like to customize my system prompt and how it outputs things, I think that conflicts with ChatGPT's default system prompts, which are designed to do behave in a specific way ? Maybe Mimo does not have these prompts ? Maybe Opencode does not set these prompts ?

Anyone felt like this as well ?

Mention I found Claude Opus 4.8 to be good as well. Codex was especially horrible.

muse spark 1.2 is absolute hot ass, what model is the best right now?

I'm currently paying for Claude Code and GPT-5. I want to drop my Claude subscription and give Chinese models a shot. Which subscription would you recommend?

My main priorities are:

1. Performance
2. Token volume

In performance, according to the OpenRouter leaderboard (https://openrouter.ai/benchmarks/tau2-bench-airline#leaderboard):

GLM > Qwen > Kimi

According to LLM Arena (https://arena.ai/leaderboard/agent/code):

Kimi > GLM > Qwen

What do you recommend?

Hey all, I am using https://github.com/Bobby-Gray/open-tabletop-gm to run a dungeon crawler carl style solo RPG game. Which of the opencode go LLM's do you think would make the best DM in this scenario? I am currently using Luna to create a custom module that will run the skill, but I need a good DM to run the actual game.

I just hit a wall with Monthly usage limit reached. Resets in 11 days with every model. But looking at my dashboard, I haven't actually exceeded any of my individual model limits.

It looks like the system is mistakenly adding up the individual usage percentage numbers of each model (43.3% + 43.2% + 13.5% = ~100%) and treating that sum as the total monthly cap percentage, completely locking me out.

Is anyone else seeing their total calculated this way ?, or is it just happening on my account

I can't find it anywhere. Even if i get banned from OpenAI services, i just wanna know the name

I posted this question on Reddit two months ago, but several new AI models have been released since then, so I wanted to ask again:

What are your go-to models for Plan Mode and Build Mode?

At the time, I was using:

• Build Mode: MiniMax M2.7
• Plan Mode: GLM 5.2

So I've been digging around many self hosted LLM routers to sit between my various agents/coding tools and providers and none seemed to have what I was looking for.

1. The ability to point an agent/tool at a single router URL & model and then in the router UI change what provider & model that actually resolved to without changing client settings.

2. There are often good free/discount providers but their performance can be unreliable so you find yourself resubmitting requests a lot. I wanted a seamless fall-back chain where I could have the router detect a provider failure and seamlessly fall-back to other providers without the client seeing an error.

So my project Tiller Router was born. Full disclosure lots of AI generated code here but I've given it a good testing manually and written this post all in my words.

https://github.com/dellarb/tiller-router

This is a self-hosted router that sits between your agents/tools and providers and aggregates up all your providers providing a slick interface to steer your client keys to whichever model or catalogue of model you want without messing with client settings.

Key Feature 1 - One client one model - steer it in Tiller

Just point your favourite client/agent/coding tool at tiller as it's endpoint. Add your providers and keys and select which model you want that client to be served. Regardless of model client requests, your selected model in Tiller will be served transparently to the client. You can also choose to serve a curated catalogue of models to a client to simplify pickers if you still want client control.

Key Feature 2 - Virtual models with Fall-back

Create a virtual model with any name you like and either map it to a real model with one of your providers or better yet add a fall-back chain. The models will be tried in the order you set and if it fails or times out, the request will be sent to the next model and so on fully transparent to the client.

Bonus - the selected model for one-client-one-model can be a virtual model with fallback

Today is the very first beta 1 release of this and I'm pretty fresh to the publishing FOSS game despite many years of coding personally. Feedback is welcome.

I hope this is helpful and look forward to someone showing me something obvious I've missed in a product out there shortly!

Hey eveybody,

For those who haven't seen my other posts, I created an opensourced project called OpenFlow, and some big updates are being made. Now, there is a swarm and orchestration mode, and soon to be gauntlet looping toggle. It isn't just a linear pipeline anymore, but an entire chain of agents you can see and control talking back and forth and working out problems together. If you want to see the backstory, check out my other posts. Stay tuned for more updates, and feel free to leave suggestions and even share your own projects.

Link: https://github.com/SeeRay11/OpenFlow

I've prompted it to always reply in English but it sometimes forgets that and starts replying in chinese

Hi everyone,

Anyone had any chance to setup Boost with Mistral AI with GLM 5.2 in OpenCode?

If so, please let me know how you did it.

Thanks.

Is anyone else getting randomly blocked? I was in the middle of working when this message popped up: 'This account has found to be committing fraud or is in breach of terms of services and has been blocked. If you believe this is a mistake please send an email to help@anoma.ly.'

I already emailed [help@anoma.ly](mailto:help@anoma.ly) and hope it gets resolved quickly since I still have over 70% of my quota remaining before it resets in 7 days.

OpenAI officially named Astra its next major model on Aug 1.

An internal build solved 10 decade-old math/CS problems with machine-checkable Lean proofs for roughly $2K in compute.

It remains unconfirmed whether Astra will ship as GPT-6, GPT-5.7, or keep its codename. The unverified leaks are more specific:

• 1.8T params, MoE with 96 experts, native multimodal
  
• Built for long-horizon planning and tool orchestration
  
• Reportedly being shared with select partners under the name "ultima-alpha"
  
• Sam Altman allegedly said it will be "the first model that actually invents new things that matter"
  
• One source claims a Sept 3–10 launch window

So tomorrow my sub is finished on Claude, and I was wondering, currently I have an opencode Go sub that is use for my office job coding mostly. Since I find Mimo 2.5 perfect for the code we write at the office, doing maintence, it just works fine for my needs, plus it is cheap. But I also do my private projects and was using Claude for that, but Sonnet 5 and Opus 5 does not feel that great for me, and I'm wondering if I should not rather get another Opencode Go sub, and rather use that for my more private projects, which are all mostly web based projects. Would it be worth it then to use something like Kimi 3 or GLM 5.3 for planning and then handing it back to Mimo for coding?

I have not had issues with the quality of the code Mimo 2.5 has delivered so not bashing Mimo, just wanting a replacement for Sonnet 5 and Opus 5. Not wanting to wait and see what 5.1 brings and then it is another let down and then I paid $20 for nothing.

Subscribed for 2 weeks back. Recently hammer it with hy3, mino 2.5 and at 80% got banned. I log on into 3 pc. With multiple agents. Anyone got this issue as well?

I tried using muse-spark1.2-contributor from opencode go , it prompts me this message "This model collects data used to improve its quality and requires explicit opt in:" but when I visit the link there's nothing, no button, no switch nothing.

Please help me understand

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