The first image is OpenCode using half the context and costing double per turn compared to Command Code (second image) with more than double the context.

On top of those prices, note that OpenCode gives $15 of usage and Command Code gives $40 of usage. (OpenCode Go vs CommandCode Goat plans).

Both used in GitHub Copilot BYOK as harness.

The total usage difference in favor of Command Code is abysmal.

In performance, it also works better on Command Code.
On OpenCode, a response gets cut off now and then; on Command Code, it doesn't.
Quality and speed are identical on both.
Command Code makes better use of cache as well.

At the current price, even though it's in the 15$ tier, if you pay $10 for OpenCode Go to use GLM 5.3 Flash, OpenCode Go is ripping you off by offering you LESS than the $10 you paid compared to direct API usage. (And that's now while it's subsidized; they'll double it again when they remove the "x2 usage.")

For context, I am building my undergrad thesis rn and just subbed to opencode go 10usd. I mostly code alone and handle the 4 layer of the system: Machine Learning (i'll code and train the model), database, backend, frontend, fastAPI.

I need y'all help on which model to use for planning-building. Appreciate the help ^^

EDIT: I'm trying to last it for a month or so, so what's like the best for the price

pretty much the title really? Is there any way to use this? I have a gemini pro sub from work that I would like to use with opencode for experimental purposes! I've installed the python proxy and tried adding it to the opencode.jsonc but it dont work.

I'm building a webapp for a project, I had some credits in copilot student for free in vscode, which I was able to start the webapp but then I ran out of credits, tried gemini student but it just feels weird and it cant rly pickup my workflow correctly.

What would be the best option/stack for me to keep coding for free using opencode? I know it won't be perfect compared to the paid options but I'm not trying to build anything too complex, I don't mind taking longer to finish it. Thanks.

One reason I use tools like OpenCode is that I don't want my workflow tied to one model.

But I realized my actual development process still was.

I'd switch models and then rebuild some variation of:

Different model = wildly different interpretation of “production ready.”

So I built Launchify.

It's one canonical production-readiness spec with adapters for OpenCode, Claude Code, and Codex.

The model is interchangeable.

The checklist stays the same.

And now it can be installed globally in ~/.launchify/, so the same workflow can follow you across projects too.

The all-in command is:

/launchify-landify

which runs:

security
→ dead code / duplicate / AI debris cleanup
→ feature completeness
→ compliance
→ build/lint/typecheck/tests
→ production grading

Security has 24 categories, from the normal auth/API/database stuff all the way through cloud, supply chain, CI/CD, payments, privacy, RAG and AI-agent security.

I recently ran a gap analysis against OWASP/API/LLM/NIST material and added 238 checks, including:

• AI tool SSRF
• agent excessive agency
• SLSA/Sigstore/SBOM verification
• package install-script attacks
• Kubernetes hardening
• webhook signature/replay handling
• distributed locking / TOCTOU
• RTO/RPO and immutable backups
• SIEM / IoC monitoring
• encryption key lifecycle

I also added something I hadn't seen bundled into these workflows much:

/launchify-compliance

It checks whether the PRODUCT around the code is actually launchable:

privacy policy, ToS, cookies, DPA, DMCA, accessibility, AI disclosures, SLA, refund policy, relevant privacy/regulatory requirements, etc.

There are audit-only versions of the workflows if you just want findings.

Total now is 60 commands / 25 categories.

README has more information of what Launchify actually provides for you.

MIT / OSS:

https://github.com/jacobpowaza/launchify-skills

I'm especially curious what OpenCode users think about the canonical-spec approach.

What workflow do you wish behaved identically regardless of which model/provider you switched to?

Hey everyone,

I'm looking for an AI provider that works well for me and my really small team, ideally one with a plan we can share.

I'm currently using Kimi, but it feels like the usage allowance keeps getting smaller. The same tasks seem to consume a lot more of my quota than they used to.

I also tried Claude Code on the Max plan, but my account got banned after just five days of use.

So, what I'm mainly looking for is:

• Generous usage limits
• Smart enough to handle our tasks
• A plan that supports sharing within a small team

Do y'all have any recommendations?

It's only been about 24 hours, I've only hit the 5-hour limit once, and I'm already sitting at 73% weekly and 38% monthly usage. I originally assumed the ~110–160+ request limit per 5 hours on the better models was the main cap to worry about!

On top of that, Grok 4.6 and a few other models keep throwing 503 API error.

Is the usage limit really this restrictive for everyone else, or am I doing something wrong?
What are your primary use cases for the Go plan?

My current weekly data =_=
(used with DeepSeek Harness)

Hey everyone, I used to get great results combining my OpenAI (Plus) subscription with DeepSeek (API) by mixing the agents.

However, OpenAI's recent changes—which set ridiculously low limits—have made that impossible. I need an alternative.

I was considering SuperGrok...

Do you know if a SuperGrok subscription works with OpenCode?

Are there any other options you'd recommend?

which of these are the top 3 best agentic coding model (free version)

I’ve got three related questions.

Question one. Is anyone using OpenAI models in conjunction with Anthropic models — having them debate an issue, talk to each other, or work in parallel on a task? And I mean in a mainstream, integrated way. Not the manual loop where you generate output in one tool, open another, and paste it across.

Question two. For anyone running local models: have you been able to use your Claude Code instance to run both a non-Anthropic model and an Anthropic model together, inside Claude Code itself?

Question three. For those of you running local models — what’s your solution for using them alongside Claude Code or OpenAI models? Is there a harness out there that lets you run OpenAI, Anthropic, and local models all together in one integrated setup?

Would love to hear what’s actually working for people.
One thing worth flagging — the full text is in the transcript, but if you’d rather copy it cleanly, the text chat is easier for that.

Using OpenRouter, OpenCode, and GLM-5.3. I received redaction logs. False positives hits for Phone Numbers and Email addresses. Yet all data was fully intact. Asked GLM what was going on as even it’s messages contained [PHONE] and [EMAIL]. It told me it detected the redaction and started reading and writing in byte code to circumvent it. All on it’s own. 😅

i might be only hope for mimo v2.5 because now decent 60$ deepseek flash is gone, and muse spark is like this....
showing the username and password, showing the menu above without login.. i dont know again

Hello,

I have a question about whether I am using OpenCode completely free of charge.

I installed OpenCode and have only used models that have the “Free” badge next to them. When I check the context page, it shows the following:

Provider: OpenCode Zen
Usage: 6
Total Cost: $0.00

Based on this, am I correct in assuming that I am using the free tier and not being charged?

My second question is about usage limits. This morning, I used about 95% of my quota for the Muse Spark 1.2 Free model. When I checked again in the evening, it had reset to around 3% usage. Does this quota automatically replenish on a regular basis? If so, will it continue to do so indefinitely, or is there any chance I could be charged in the background?

Thank you in advance for your help.

Why would I ever use the terminal version of Opencode (or any other *code* program)?

People always tell how good it is to use it but I don't understand the appeal. If you are used to terminal-only work, constantly looking into generated code or something like that, ok. But I see TUI being recommended to everybody like it can do something desktop or web versions can't. Also these *code* apps are usually developed TUI-first for some reason

Please explain it to me

Desde el dia de ayer en la noche (aproximadamente a las 11 de la noche) me salio ese error usando Muse Spark 1.2 y crei que era cosa del modelo pero ya he intentado con todos los modelos free y aun asi me sale el error, incluso cambiando de ip con vpn me sale el mismo error de limite excedido.

There are plenty of other options such as Cursor, Claude Code, Zed, and many more. So why? I use it for convenience to try any model once they're released. But how about everyone else? genuinely curious about this. Is it the UX or the UI polish or just having an AI-IDE that just works?

Opencode free models are very bad in my opinion right now and I'm trying different API providers such as Nvidia Nim but that one hits rate limits very easily and fast and I don't know what to use anymore I'm looking for free options any suggestions? Or any form of help

For those who haven't seen my last post (got pretty popular), I open-sourced a project called OpenFlow to build linear pipelines of agents (A->B->C...). Well, people actually liked the project and it is time to expand. I love OpenCode, but one agent and one prompt at a time seems primitive, and honestly the whole pipeline concept was getting old too. That is why I am in the process of making Orchestrator Mode with a custom head agent and subagent models. For example, you could have Fable 5 as the orchestrator, Ox Alpha as the planner, Kimi K3 as the architect, and Sol for the coder. I'll just add swarm mode with it because why not? It's chaotic and fun. Anyways, I am just adding these and not replacing the original pipeline mode that people really liked. I would love to hear feedback regarding to this big upcoming update. Feel free to check out the project below, and good luck with your own projects.

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

Original Post: www.reddit.com/r/opencode/comments/1vuzyew/i_made_opencode_way_better/

Hi all, if you have an M-series Mac with 64GB, plus opencode 1.18.25 and Qwen 3.8 27B working successfully outputting high context for coding (30,000-120,000 tokens) can you share what local provider you’re going with? LMStudio, oMLX, llama.ccp etc

I’ve been having issues with LMStudio just timing out mid-response using Qwen 3.8 27B Q6_0 GGUF or taking over an hour to process each prompt request opencode makes before token generation using Qwen 3.8 27B Q6_0 MLX

Has anyone got a good high context, reliable solution going for Qwen 3.8 coding?

I'm subscribed to Opencode Go and I unfortunately hit my weekly limit. I went back to using Zen for a while and after a few hours of usage, I'm greeted with the Continue with Go error. I'm assuming there is like a wait time for daily usage for the free model right? If so how long do I have to wait in order to reuse them?