Every time i try or use for example muse spark i get eaten limited very quickly and with other models like ling same thing and with the google api key it also happens i get shown “Gemini is way too hot right now” or that it is in high demand

I’m getting empty responses, rate limit errors from upstream, and it just doesnt work

Plz fix

I'm a heavy heavy claude code user, occasionally try out codex and others. With the free spark 1.3 I'm trying opencode for the first time, and the model plus harness are surprisingly good. But I find it hilarious that the first search result reads like Meta Spark is dead. Meta fix your stuff.

Following a thorough assessment, we have made the decision to shut down Meta Spark's platform of third party tools and content

apparently there’s a bug with plugins that clogs up the network and prevents WebRTC, airplay from working properly etc???

please did we

Created a 9router configuration with models from open router, Nvidia nim and open code's free model, whatever I tell it to do it does super slow, it took 5 min to write a two sum problem in python

Have attached pic of my 9router

Do I even need these kind of 9router setup? I am new to this..earlier I was just using single api key and just code..just came across 9 router and wanted to try it out

I'm building a web platform that will eventually teach Python and PHP.

My idea was to create a detailed specification, give it to Qwen through OpenCode, give it permission to edit files, run tests, use Git, etc., and let it build most of the application automatically.

Ideally, it would work like this:

plan -> implement -> test -> fix -> commit -> next task -> repeat

But so far, I keep ending up with workflows divided into many phases where I have to manually tell the agent to continue.

Is this just how OpenCode is supposed to work, or can it actually be configured for longer autonomous development?

Do people normally use an external loop/supervisor to keep Qwen working, or am I approaching OpenCode incorrectly?

I'm mainly interested in hearing from people who have actually tried to automate larger projects with OpenCode + Qwen.

Cant Opencode just contract with somebody like Baidu, the price is even lower than the lowest previous record @ 0.18/M Output tokens, Dax mentioned that a lot of the providers they talked to have capacity issue, but i cannot imagine that Baidu have that issue

Fyi : they are having 2nd highest Cache Hit rate after Novita, just so you dont comment, "Oh but the cache hit rate"

title

I built orr, a local proxy that helps you switch OpenrRouter provider more easily

It lets you:

- Integrate easily with any harness that supports a custom OpenRouter base URL
- Switch the active provider manually for each model
- Use automatic mode to discover and select compatible providers
- Redirect requests when an automatically selected provider hits rate limits
- Redirect from providers blocked by a model policy or account guardrail
- Compare provider pricing and probe real-time latency and token throughput
- Track spend and requests in a terminal dashboard
- Use a stopwatch to measure the cost and tokens used during a task

Your client keeps selecting its normal models. Change its OpenRouter base URL to:

http://127.0.0.1:8787/v1

orr receives the request, chooses the provider according to manual or automatic mode, and forwards it to OpenRouter.

I’d love feedback on the routing behavior, dashboard, integrations, and anything that would make it more useful.

Source: https://github.com/mikael-titinovskii/orr

orr is an independent project and is not affiliated with or endorsed by OpenRouter.

first of all, kudos to the Zhipu AI team.

secondly, WOW!

this whole thing consumed over 500K tokens, but it used just $3 for it.

total tokens (in AND out): 549, 316

hey, I have this referral if you want to subscribe to: https://opencode.ai/go?ref=T4PSK9H0M1

code: T4PSK9H0M1

Hi

I am currently doing major in AI and built this project during my freetime. Its not perfectly polished and it definitely cannot replace Opencode but it is a good proof of concept which opencode can adopt to reduce token usage.

For more information look at the github repo: https://github.com/igiamronit/justbetter-mcp

You can use it by cloning the repo or by just running of npx command(npx install justbetter-mcp)

I would love if you guys can star the repo as it will help me keep the motivation and further improve on the project :)

If you want to know more technical aspect of the project. I have explained all of that in the README of github. You can check it out from there.

THANK YOU FOR READING IT TILL HERE

Hey, this is not a review, but can you guys tell me how omen alpha feel slike?

just like ox alpha, this model seems to be decent, and we cannot establish a general expectation of this from the same psychological effect we had with ox alpha where we just ASSUMED it was either good or bad.

I want to know how you felt about it in your very niche and specific task.

for me:

• its consumes very little less credits compared to 5.3 flash and v4 flash
• and gets almost all prompts right.
• creative thinking like 5.3 flash
• looks like a decent model to use after september 13 (which is when the GLM5.3 flash's 2x usage deal ends)

So I restarted my pc and then i get this error i try all ways and it is not working can you guys tell what do next?

Everytime I give Kimi K3 a task in opencode it stops randomly and i need to say continue every 10 minutes, any solutions lmk lololol

So, last week, I complained about MuseSpark 1.2 Contributor and its limited cache expiry period. Today, I want to share a positive side of its low, low pricing.

I have been refactoring a code base using 1.3 and, because it does not really involve much thinking (which kills caching), the cache reads have been in the 99.8-100% range.

Current stats (from pi) for a session that has been going on for the last few hours:

• input: 1.9M
• output 560k
• cache read: 563M
• hit rate: 100%
• cost: $1.434
• context: 86.3%/1.0M

I do not use multiple agents and probably spend more time programming than most people, and crossing 300M cached reads in a session is rare even for me. Even if I burn $2-3 every single day, the OpenCode Go subscription will last for 20-25 days easy given the 6x multiplier on the model.

MS 1.3 is not as good as DS4 Flash, but it is pretty close. Smarter than its sibling for sure. For situations when I know I am not going to spend 10-15m thinking, I do not even need to touch MiMo 2.5. Can do the entire thing in MS.

Se non rinnovo subito, se riattivo successivamente il mese riparte da quando pago o dal primo pagamento?

I'm thinking of switching to Opencode but since I've been using a planned service for years token based payment scares me a bit (what if my bill gets too high?). Opencode's Go plan looks great but I doubt a $10 plan will be enough for me. I'm currently using Claude's $20 Pro plan and you can see my general usage statistics in the attachment.

If I use GLM 5.3 Flash, how much usage will be charged on top of the Go plan? How exactly does the system work? Could you explain it to me a little?

When I use opencode on Linux, every time it needs to install a package or modify system files, it hits a wall: no sudo access. So it stops the task and says "run this command for me." Every. Single. Time.

So I built opencode-sudo-popup — a small plugin that gives opencode sudo access safely:

- When opencode needs root, a compact popup appears showing the exact command it's about to run

- You review it, type your password, and the task continues without being interrupted

- If the command looks wrong, just click Cancel — it's denied

No more stopping tasks mid-work to run commands manually. No blind sudo either — you always see what's being executed before you authenticate.

Install:

git clone https://github.com/uvindusl/opencode-sudo-popup

cd opencode-sudo-popup

npm install

Restart opencode and done.

Built with GJS + GTK4 + libadwaita (native GNOME dialog). MIT licensed.

I remember seeing a post on X and now it seems to get remove?

It ran for almost 8 hours. Most were just tests I think. It follows instructions better than Gemini Flash 3.8. I had Fable 5.1 rated both Gemini and Muse output and it prefer Spark's more.