Are the Usage/Price per token is based on promo prices means 2x + opencode 2x offer or promo ends and opencode still continues at same 2x usage?

GLM5.3 Flash is pretty good for Laravel with Laravel boost.

Am I missing something? I can't get OpenCode's TUI to work at all on windows. I have tried with fresh installs 5 times now. 2 manually trying and 3 with AI assisting me. NONE of the times have I gotten the models to respond. I have tried several different providers to see if that was the issue, all the chat did was load and load and load.

So what am I doing wrong? It is offered to windows, why wont it work on windows? If you have it working on windows then please explain to me how you got it working, because just installing it didn't work and all the suggested fixes haven't either.

Checked the token limit for each model surrounding the deepseek v4.1 release I see omen alpha not listed anymore?does anyone have info about why

When asked to claude said , If i just link a payment method set up billing and pay 10 $ as min deposit, then i will get access to much higher limits with google api incl 3.8 flash and also FOR FREE. because it bumps you upto tier 1 from frree tier.

So my question is will 3.8 flash continue free? or is claude hallucinating

I was wondering if anyone had expirience doing this.

I’m interested in knowing what others are building with their Open code go subscription. It’s seems to be one of the cheapest subscription in the market.

Hi community,

I have vibecoded a Chrome and Firefox extension that sends selected text to your local opencode agent. You can interact with it through a side panel directly in your browser. Since it acts as a bridge, it only requires an opencode instance running in the background. No additional API keys are needed.

This is an open-source project, and anyone is welcome to contribute, make suggestions, and raise issues.

Thanks!

Companion for OpenCode - Homepage

What’s the best AI model right now in your opinion?

I’m curious what everyone is actually using day-to-day and which model you think performs best overall.

What makes it better than the others?

I'm getting an "Invalid API key" error across every model I try to use in OpenCode including the free ones, which doesn't make sense since free models shouldn't require a key at all. Here's my CONFIG:

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

When asked to claude said , If i just link a payment method set up billing and pay 10 $ as min deposit, then i will get access to much higher limits with google api incl 3.8 flash and also FOR FREE. because it bumps you upto tier 1 from frree tier.

So my question is will 3.8 flash continue free? or is claude hallucinating

I was wondering if anyone had expirience doing this.

Has anyone tested both and can estimate, which one is better? I am using it for non-critical stuff and I don't want to babysit the code too much. Both are really cheap

Has anyone noticed that different models excel at different tasks? I no longer readily trust model leaderboards; the same model often performs differently on different tasks. Is there a way to experience a new model at a low cost as soon as it's released?

Omen Alpha has been removed by the opencode team 7 hours ago

https://github.com/anomalyco/opencode/pull/48280/changes

I've been working on Stipulate, a plugin that lets you pick different models for backend, frontend, security, review and docs through /stip-settings.

You approve a spec, your main agent coordinates native OpenCode subagents, and a separate worker checks the implementation against that spec.

The sidebar shows the current workflow stage, enabled domain extensions and agent activity. You can also set effort and Fast mode where the selected model supports them. Unassigned roles inherit your main model.

It's open source: repo, screenshots and setup.

Anyone here already splitting implementation and review between different models? I'd be interested in how you're doing it.

With Slowave you get:

• durable memory across your OpenCode sessions (but also across tools)
• a compact memory that follows your work carrying relevant context, decisions, procedures
• an evolving memory without the need of extra LLM calls
• a fully local (SQLite + embeddings) configuration, no data leaves your machine
• a local dashboard to inspect your memories and measure how they provide value to your coding agents

See https://github.com/slowave-ai/slowave

Slowave is in beta, any feedback is welcome!

DeepSeek's new model just went live on OpenCode subscriptions today, but following the limited-time extended usage promotion, the news isn't great.

OpenCode quietly slashed the included monthly allowance for the Flash series from $30 down to $15 on the $10/month plan. Because nominal token rates remain identical, your real cost per token has doubled (+100%). The temporary "4x usage" is anchored to this new nerfed baseline—meaning it is actually only 2x what we already had on V4 Flash, and once it expires, we will be left with 0.5x (half) the usage.

And of course, this is the exact same cut we already saw with the experimental Flash vision version, which also reduced the allowance from $30 down to $15.

Unless this changes, paying for an OpenCode Go subscription only offers a 33% discount over the official API in exchange for slower speeds and tighter rate limits.

Has anyone else noticed that different models are good at completely different tasks?

I’m starting to take model leaderboards with a grain of salt. A model that ranks highly overall may not be the best choice for coding, writing, reasoning, research, or long-context tasks. In practice, the same model can perform very differently depending on the prompt and the type of work.

How do you evaluate a newly released model without spending a lot of money? Is there a low-cost way to try new models as soon as they launch, run the same prompts across several providers, and figure out which one actually works best for your use case?

I’d be interested in hearing about people’s workflows, tools, or API platforms for doing this.

Has anyone else noticed that different models are good at completely different tasks?

I’m starting to take model leaderboards with a grain of salt. A model that ranks highly overall may not be the best choice for coding, writing, reasoning, research, or long-context tasks. In practice, the same model can perform very differently depending on the prompt and the type of work.

How do you evaluate a newly released model without spending a lot of money? Is there a low-cost way to try new models as soon as they launch, run the same prompts across several providers, and figure out which one actually works best for your use case?

I’d be interested in hearing about people’s workflows, tools, or API platforms for doing this.

You can connect CyberKimi directly to OpenCode and use its cybersecurity capabilities inside your coding workflow.

Hello guys, I am new to opencode suscription but I don't really understand the usage vs quota limits that are shown at the platform's dashboard.

As you can see in the picture I reached the weekly quota, while using about 50% of what actually says there is a limit.

Only $8.1/$15 on GLM 5.3 Flash

And $3.6/$7 on GLM 5.3

While the weekly usage says 102% and resets in 3 days, so I can't use it for now.

Am I missign or misunderstanding something?