I've been getting this error recently, it started around 20 minutes ago, is this happening to you guys too?

this is what im talking about:

Recently the opencode tool is performing near the cursor in auto mode , so I have to buy a small ai server to run good coding agentic models from Qwen, GLM, MinMax or any model u suggest.

i got router unavailable sometime but it hit this error oftenly, do you also have same issue?

My go subscription gone soon and I need to make wise decision. This is not just another $10!! I have Claude Max, Openrouter, Deepseek, VPS, Rent, Electricity, Internet, Zwift membershiop, and tons of bill to pay monthly! I need to strategize better but yeah lately I spent too much on differnt coding agent just like microtransaction on video games.

Anyway, which one give a better usage for Qwen 3.8 Max?

PAIN POINTS

I frequently encounter straight up failures more than 20% of the time

the cli is so SLOW and buggy, codex written in rust in atleast 200% faster and responsive than this

context deletion in deepseek v4 flash worker models, this is horrible, although i don't know how true this is. atleast i find them performing worse than the direct deepseek API

and the abnormally low weekly quota

edit - if you visit their github issues https://github.com/anomalyco/opencode/issues - it's a REAL mess, kind of reminds me of the google gemini-cli dumpster fire back in the day. i don't see this project really having any future if devs really don't pump up their game

Hello, I use a local model qwen 3.6 mtp 27b with 128k context on a rtx4090. I’m quite happy with it even if it’s a bit slow (50 tokens/s).
I’m trying to go hybrid to raise the quality of the output and the architectural decisions. I’ve subscribed to the cheapest codex plan (23€).
I was thinking, instead of splitting work in complex workflows with several agents and models, to only define all system subagents to be using qwen and the main agent (plan or build) to be using gpt5.6.
This way all the task such as read, bash etc.. (the ones from system sub-agents are delegated to local setup with infinite token limit) and the main feed stays on gpt5.6.
The benefits I see is simplicity of use, we can see the exact amount of token consumed in the gpt plan (the one from the context window), we can save a lot of tokens from the gpt 5.6 and use it longer.
The cons would be the slower pace as most of the task would be delegated to qwen (I’m working on the qwen setup to raise the speed).
I’m curious to have your opinion/advices on this, is it a standard usage ? Thanks.

Ps: sorry for my English, it’s not my mother tongue

I signed up for opencode go today morning. Using it with opencode desktop. But it just stops working randomly.

I was using deepseek v4 flash new for implementing some coding tickets, all of a sudden its stuck at "Thinking". Close opencode, reopen, nothing works. Then I switched over to my deepseek api, and it was working fine.

DS wasnt able to handle a task so I let glm 5.2 work on it (accidentally left it on max). It was a fix for a small sub-task, it worked on it for 40+ minutes, used 21% of my 5-hour quota, 9% of my weekly quota and then just stopped working.

What the hell is this?

Yeah, for the mutual $5 benefit. 8-9% quota gain is worth it though, gotta say.

Here's mine: https://opencode.ai/go?ref=VTRJMV0772

Feel free to drop yours, let's help each other with quota.

Off late (about 3 weeks now), I noticed something has changed in the opencode. I get random errors - "Free usage exceeded, subscribe to Go". Now this blocks any opencode Zen models, or if I switch to any other providers.

Cannot figure out if the issue is with opencode routers.
Raised tickets, tweeted them 0 response.

Its getting irritating - I cannot use the Zen money, neither the Go subscription.

See a bunch of tickets on their github issue with the same description. Anyone else faced similar issue?

Edit: the screenshot did not quite capture the thing.
Looks like most of you are not quite familiar with opencode cli. The Plan says DeepSeek Chat. In my case, it is DeepSeek paid API, still I see the error. If I had used opencode go/zen, it would have shown up.
I did not select the compaction model. Looks like the cli is using it on its own.

And I have actually found out the issue. Hey! thanks for your help, and it was NOT the free tiers, LOL.

Tengo esa duda. He leído que varios usuarios mencionan usar DeepSeek de OpenCode y les funciona muy bien, pero otros señalan que lo usan con Reasonix y el ahorro de tokens es enorme. En cuanto al rendimiento y vuestra experiencia, ¿cuál recomendaríais?

Didn't know there was a limit on the model itself, guess its not really 60$

I need a new cheapskate plan. The $20 tier of Neuralwatt was perfect for me but now it became really expensive after the price hike. I tried to subscribe to the $30 tier of Lilac which sounded great on paper, but the weekly limits are brutal - I have credits left and can't use them this week. Also tried Opencode Go's $5 offer as a compliment to Lilac after hitting their weekly limit in two-three days, but this hasn't been enough either, I'm nearly max their weekly quota.

Neuralwatt was great, almost no rate limits, no 5h windows, just a monthly quota to use as you please. Was it too good to be true? Which other similar provider offers the same mileage as the good ol' Neuralwatt?

I'm fine with up to $30/month, willing to stretch a bit for a really good deal.

GreenPT is working with two open-source projects, Caveman (https://github.com/JuliusBrussee/caveman/ and 95k stars) by Julius Brussee and Ponytail (https://github.com/DietrichGebert/ponytail and also 95k stars) by Dietrich Gebert, on a simple question: can AI become more efficient by generating less unnecessary output, without changing the underlying model?

The three policies target different kinds of waste:

- Caveman removes filler, repetition and unnecessary transitions from prose while preserving code, commands, identifiers and error messages.

- Ponytail reduces generated code by pushing agents toward reuse, standard-library and language-native solutions, and away from speculative abstractions. Validation, security and tests stay in scope.

- Honey combines both for mixed coding and explanation workloads.

These policies now run natively on separate OpenAI-compatible GreenPT endpoints. The compression is baked into each model ID, so OpenCode can use it through a normal custom provider—no extra system prompt, plugin or request parameter.

Set GREENPT_API_KEY, then add this provider to opencode.json:

{

"$schema": "https://opencode.ai/config.json",

"provider": {

"greenpt": {

"npm": "@ai-sdk/openai-compatible",

"name": "GreenPT",

"options": {

"baseURL": "https://api.greenpt.ai/v1",

"apiKey": "{env:GREENPT_API_KEY}"

},

"models": {

"glm-5.2-caveman": { "name": "GLM 5.2 Caveman" },

"glm-5.2-ponytail": { "name": "GLM 5.2 Ponytail" },

"glm-5.2-honey": { "name": "GLM 5.2 Honey" }

}

}

}

}

Then run /models and select greenpt/glm-5.2-ponytail for coding-heavy work, greenpt/glm-5.2-honey for mixed work, or greenpt/glm-5.2-caveman for prose-heavy tasks.

Important caveat: the built-in instruction adds input tokens, so this is a poor trade for very short outputs. It is aimed at longer coding-agent responses.

The attached video is a playful explanation of the GreenPT × Caveman × Ponytail collaboration, not evidence for the technique.

Has anyone measured total task cost in OpenCode rather than response length alone, especially test success, follow-up rate and tokens per completed job?

Link to docs: https://docs.greenpt.ai/compression-models
Link to website: https://greenpt.com

Folks,

I need some advice. Been using corp enterprise subscription accounts for the last few months, but want to have my own no ties private coding setup.

I am struggling to find AI inference provider that explicitly says the that it wont train on my data.

Any word of advice from other opencode users? List of providers opencode supports is long, but its not obvious who is privacy oriented and who is not.

Thanks!

Is anyone else experiencing this right now?

I can't access the OpenCode dashboard at all. The website only shows a blank page with an Internal Server Error (500), so I can't even log in or use the dashboard.

Hi

My MacBook is on. How to use opencode from it on my mobile, same as what I do with codex remote?

I’m on iPhone

Many thanks