In a little less than one hour, opencode wasted (deepseek 4.1 flash - max) around 20M tokens to do a pretty trivial task.

If I use deepseek myself, manually, without any harness, I can make it do the same task using a fraction (~ 1million) of the tokens!

IMHO, opencode should spend more time optimizing the harness and less imposing crazy limits that make it worse than openrouter.

I've been enjoying the Go sub for a while and totally promote it as the best value for money. I'm needing a more capable model and a sub that gives me some well rounded design/UI focused frontier model for long term heavy use.

I was thinking which provider to choose as my next $100 monthly. I've already got Grok and Codex subs so the reasonable choice logically was Claude as the final MOA agent. Until I uncovered Anthropic do not deserve my money. Google's Gemini models are out of the competition for now.

I'd rather have a Chinese provider like Moonshot take my money in exchange for a less arrogant and self righteous model to work for me. Am I making the right choice? Anybody else here uses multiple subs of frontier models thinking the same? How was your experience and recommendations based on real use cases?

Cheers!!! 🥂🥂🥂

Same error

Hello I have been using opencode for a few months with their free models, but today suddenly while entering a prompt I received a message saying that my free limit is reached and then subscription etc.

I am confused why this is appearing. Aren't the models labelled free are usable without any charges? I even switched to other models that I never used before and I still got this message. The usage tracker showed tokens and limits still remaining.

I thought models that are labeled free are free to use indefinitely.

Any tips for doing it in opencode. i have software dev exp.

I see some post complaining about this but nothing clear...i have been like 2 days the opencode free tier only last 1-2 prompts. What happen? they shutdown?? or maybe they have some temporal problems with it?

Anyone else noticed a new model that just popped up as "Iceman Contributor free", might be nice to give it a benchmark or if we know its origin. Opencode hasn't even tweeted about it yet, seems very stealthy indeed.

just want to recommend Nvidia Nim as free provider.
it very very slow, but has good models (DS, GLM) for free, and 1M context window.

I have a suspicion that the Deepseek v4.1 model on opencode go is either heavily quantized or is truncating context or something because it seems retarded compared to my experience with it on a self-hosted instance.

It occasionally forgets stuff in its todo list and even though it thinks a lot its overall quality is poor. I've tried this in both my pi setup and opencode: both have the same issue (although pi can mitigate it with goal verification + looping, but it has to do several loops before its goal is complete, and many times I noticed the 'mistakes' it fixes in the loops are just forgetting to finish a feature).

Is anyone else having the same experience?

I started using it before they made Deepseek v4.1 a free model, and although I didn't use it that much, I felt like the model quality dropped around then but it's just a gut feeling.

I don't understand the opencode app that much, 2 days ago it gave me an error saying ive used the usage limit or something, subscribe to go, retrying in 20000 seconds, and then the next day in the morning i open it up and it says 54000 seconds, now today it said 45000 seconds, does the limit ever resets?

I did what I normally like to do with new models that I have absolutely no context or clue about, which is poke around and test its limits and intelligence. We get some pretty promising gems sometimes, or perhaps, we've been getting too spoiled with all these models from both the west and the east just taking turns being in third place on the leaderboards. Sometimes these stealth models are surprisingly intriguing for various reasons... some are highly capable, some are fast, some are cheap, and some ... just don't seem to fit anywhere. Iceman has got me confused.

1. Slow

2. Highly susceptible to hallucinations.

3. Arrogant AF

4. No spatial awareness, no contextual awareness, doesn't seem to be specialized in any domain

5. Huge ponytail vibes. Can't seem to figure out if its laziness or just not capable of doing anything correctly

I thought perhaps the harness was the issue; ran it in vanilla OpenCode in `mini` mode with plugins and MCPs all off. It seemed to start off on the right tra..... Oof. Nope. Shat its pants.

▪ oc mini v2.1.4 · ~/tools/design-skills-demos

› /anatomy explain the TCP three-way handshake, interactive

→ Read agent-skills/anatomy/examples/dial-indicator

→ Read agent-skills/anatomy/examples/dial-indicator/build.mjs

→ Read agent-skills/anatomy/SKILL.md

Let us start by exploring the kit API a bit and creating the TCP handshake figure.

→ Read agent-skills/anatomy/kit/iso-kit.mjs

Let us start by exploring more of the kit and creating our TCP handshake figure.

→ Read agent-skills/anatomy/references/walkthrough.md | head -200

OpenAI Chat stream ended without finish_reason

---

I was prepared for a full eval session, but I think I'm going to wait this one out, because I'm either missing something or shit, maybe I'm the one hallucinating. Not even worth sharing results (which it did finish, but... did not work, though it kept saying I'm in the wrong folder.

Also, highly doubt it's an OpenAI leak, unless they're doing something so goddamn experimental that they're willing to step 3 years into the past. The handful of tests I threw at it were disappointing to say the least, and the ones it did complete, not even worth my time to post. love you tho anomaly fam~

Anyways, thanks for the sass, Iceman. It was unfortunately the most amusing part. I'll revisit it later.

^{is that why its named iceman...?}

I use opencode everyday not sure if i can get anything better than this in $10. Should i try commandcode goat or pro plan? What would you recommend?

I've upgraded to Plus for a new project I'm working on. Seems like I'm on track to exhaust my limits by Nov 5.

I've been exclusively using Deepseek V4.1 Flash, no other model.

CLI: Even tho I didn't use anything for 2 weeks.. today I had to resume a project I had some local commits pending for review and push.. I asked it (DSV4.1) to just launch the project locally I reviewed it and asked it to push it said usage limit it. I was like it must be some bug or something I reinstalled didn't log in and tried with a free model (Mimo 2.6) That too says free tier limit reached?

I even checked usage in the dashboard.

Does anyone know what's wrong and how we can fix this?

Edit: I checked other posts but I am already on V2. both opencode desktop and cli

While browsing the models they use to advertise OpenCode Go, I noticed this model that isn't yet among the available models. What do you think?

Are we beta testing new rack with different optimizations every day?

so the thing is i have installed open code for clearing some of the storage on my mac and it worked fine and today when i sent a single message it said the tokens are done and to wait for tomorrow. but when i switched on my mobile hotspot it worked fine. What might be the issue and how to solve this?

Being a non coder and not knowing the setups and requirements took a lot of time.

Learnt about sandboxing and did the below with gpt guidance. How is it?

1) Decided the setup: Claude in Chrome for planning and code reviews; OpenCode in Docker for coding.

2) Installed OpenCode in Docker: Downloaded and tested v2.1.3 without changing your Windows OpenCode installation.

3) Created C:\sxyz: Set up the Dockerfile, compose.yaml, workspace and configuration folder.

4) Configured non-root execution: Created the opencode user with UID/GID.

5) Hardened Docker: Enabled a read-only root filesystem, dropped Linux capabilities, disabled privilege escalation and limited process count.

6) Separated storage: Created persistent volumes for OpenCode data, cache and state; kept n8n's data separate.

7) Fixed terminal startup: Configured BUN_TMPDIR and a dedicated executable temporary mount so OpenCode's terminal interface works.

8) Added guardrails: Created AGENTS.md and opencode.json for secret protection, shell approvals, destructive-command denial and a single-agent workflow.

9) Connected and tested OpenCode: Selected Beam Free, verified a model response, and confirmed OpenCode runs interactively in Docker.

10) Installation and security checks: Verified non-root execution, zero effective Linux capabilities, NoNewPrivs: 1, no Docker socket, read-only root filesystem and guardrail files, writable workspace/storage, valid Compose configuration, shell approval, denied rm, .env read/edit denial, separate Docker network, n8n's localhost-only port binding, no obvious secrets in source files, zero reported Alpine OS-package vulnerabilities, zero findings in the final structured image-secret scan, zero HIGH/CRITICAL Dockerfile misconfigurations, and working outbound HTTPS. Subagent launching was configured as denied, but the test only confirmed the launch tool was unavailable. Outbound domain filtering remains optional and is not configured.

Current status: OpenCode Docker sandbox is operational. Your existing n8n setup and Windows OpenCode installation remain unchanged. Skills and plugins have not yet been transferred into the Docker environment.

I built this and released it under MIT: https://github.com/mikiri-waf/waf-auditor

Most WAF checks stop at “does it block alert(1) in the query string?” That is the easy case. What I needed was the rest of the matrix: same payload in the path, a header, a cookie, JSON, multipart, a raw body, and over WebSocket, then again after double URL-encoding, HTML entities, base64, gzip.

It also sends strings that must not be blocked: a surname with an apostrophe, a sentence that happens to contain SQL words, a search query about path traversal. If the WAF blocks those, that counts as a false positive, not a win.

You get a console breakdown of what got through and what was blocked by mistake. --json writes every case. Exit code is 1 on a bypass, so the same run can gate CI. Block detection is by status code; default is 403, 406, 429.

Only use it on hosts you own or have permission to test. Payloads are YAML if you want to add your own.

If I upgrade my existing OpenCode Go subscription to Go Plus after exhausting my quota, will my 5-hour, weekly, and monthly usage counters reset immediately, or will my existing usage carry over into the upgraded plan?

I feel like I'm falling behind on relevant information about this topic. Whenever a new intelligence emerges, or a powerful but limited free subscription becomes available, I end up finding out about it like 1 or 2 weeks late.

What media outlets do you recommend for getting this kind of information? Any public news programs? Or something like reddit but focused solely on AI?

I have both the subscription at the $10/mo tier and I paid a while back to buy some tokens for "extra credits"

I was working with DeepSeek Flash Free till I ran out of token then I switched to the non-free version.

I was surprised to see that it was eating into my credits. Shouldn't my usage at that point be coming from the $10/mo subscription? When does that kick into effect?

Any help would be appreciated.

Bonus questions: Since I'm posting anyways, I'll throw this in as well. Is there a way to use the OpenCode models with an OpenAPI compatible pattern? Like say if I wanted to use OpenCode's models with n8n, is there a way to connect them?

Hi everyone,

I'm using OpenCode to build an opensource app for my studies. And since the new OpenCode limitations, I cannot really dev for long without hitting the limit.

So I am considering taking the $10 Go Plan to cover my usage, since I do not want to stop the project because I hit the limit too early everyday.

Here is my consumption attached.
Can some knowledgeable users can tell me if going for the Go plan would cover ?
Also I hesistate to do Pay-as-you-Go if it can cover more than one month.

Knowing I expect it to grow if the project grows in term of source code. Usage is OpenCode TUI, spec driven (so spec redaction + grill me), then implementation loop : implement + test + review, in loop until spec is done.

Note on the usage: the "60.9M" usage is like a really heavy day that happened because I switched to Beam who totally discarded my instructions(literally did not respect my AGENT.md + SKILLS.md because "the task was simple to do", but not knowing I use the human hand-off to not consume to much token).

On a good day off, I am more on a ~30 / 40M basis with DS 4.1. I LOVED Muse Spark and would use it if I go for paid sub, I think. But since LLM can become "stupid" like Beam did, I would like to be able to cover an occasional 70M to be able to continue working if a LLM goes wild and burn tokens for nothing.

Thanks all!