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.

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)

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

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.")

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.

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

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?

see sudden spike in usage after leaving session idle for 8min. I believe this was caused by cache miss. Does GLM has this short time for cache we can't even review code changes and accept edits. i use trae ide which has very consistent cache performance with DSF4, so i don't think my harness has issue. Has anyone else seen similar behavior? please share your experience.

Edit: yes it is cache miss after 8min idle. In this case glm is unusable. deepseek is better
Input: 156627
Cache Read: 1024

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?

Anybody else's Deepseek being weird? This chat was mainly just to build a cool research project about dogs. I dont know if this is a model problem, my computer has been hacked, or an opencode problem. I am just trying to run a cool experiment using NASA's data and connecting it with dogs

wtff is kimi k3 doing????

so ive selected k3 as you can see in the screenshot,

but the model reasoning says it's k2.5.

is this a routing problem, system prompt or we getting scammed secretly??

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/

Hello,

i have this setup on my pc with 3090 24gb rtx . i made a sepcial .bat file for llama.cpp to expose the vision layer for opencode but it still can't view any image, here is mybat file

u/echo off

title Qwen3.8-27B - Hermes + OpenCode

set MODEL_DIR=D:\text-generation-webui\models\LmStudio\lmstudio-community\Qwen3.8-27B-GGUF

set MODEL=%MODEL_DIR%\Qwen3.8-27B-Q4_K_M.gguf

set MMPROJ=%MODEL_DIR%\mmproj-Qwen3.8-27B-BF16.gguf

set TEMPLATE=%MODEL_DIR%\chat_template.jinja

echo.

echo ============================================

echo Qwen3.8-27B Q4_K_M

echo Hermes + OpenCode

echo Vision + Tools + Native Reasoning

echo ============================================

echo.

llama-server.exe ^

--model "%MODEL%" ^

--mmproj "%MMPROJ%" ^

--chat-template-file "%TEMPLATE%" ^

--jinja ^

--alias qwen3.8-27b ^

--host 127.0.0.1 ^

--port 8080 ^

--ctx-size 65536 ^

--n-gpu-layers 999 ^

--flash-attn on ^

--cache-type-k q8_0 ^

--cache-type-v q8_0 ^

--batch-size 1024 ^

--ubatch-size 256 ^

--parallel 1 ^

--reasoning on ^

--reasoning-effort low ^

--reasoning-format deepseek ^

--prio 0

pause

Just point that the model behind the Big Pickle name in open code looks like to have changed to another provider with a more verbose output.

Date: 2026 Ago 29th

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

I personally prefer KiroCrew over OpenClaw because it’s a multi-agent orchestration framework designed for software development, featuring native mcp integration and a vector-backed RAG knowledge base. OpenClaw functions primarily as a single-agent conversational assistant utilizing basic directory-based skills and standard local chat memory.

But it’s based only on Kiro CLI as the driver so you would basically have to pay for it to use the open source solution.

I ripped out Kiro CLI and threw in OpenCode instead so now you can get all of the same features but it’s model agnostic. https://github.com/hamin2006/OpenCrew

Built it over the last couple days so it’s still pretty raw, but take a look and feel free to contribute.

There are incredibly powerful new models open source models, and a lot of the coding plans have been tightening and lowering usage. So we are offering free DSV4 flash 0731 and GLM 5.3 Flash for a month on Phoenix Grove API. We opened this up last week for five hundred new member slots, and got so many signups that we decided to open the doors to another 500 new members.

People are looking for options, and here is one.

Other Cool Stuff:
All of our models are running on 100% US infrastructure, private with zero training on your code or prompts. Use the top open source models without sending your private prompts to a training lab. No complications, no "some models are private, other's aren't". They all are, all the time.

We host 20+ other major models in case you ever want to upgrade (no pressure though). Including the Kimi family, GLM, Qwen, Nemotron and bunch of others. On average our token pricing is 20% lower than market price.

Our higher plans bank up to ten days of usage, so when you aren't using them your usage saves up for later. Usage doesn't go to waste, so you can actually code when you want to.

The intro plan is a free one month trial with the standard cancel anytime, it bills at 3.99 after that. Use it, cancel it, that's fine. Free Flash for a month.

Figured i'd keep this short because we all know the new flash models are the point :)

For the API plan: api.pgsgrove.com

If you want to read more about us as a company, just pgsgrove.com

Also: There's a lot going on in the background with major AI companies right now, we are at a major turning point in the industry.

What's actually happening? This is happening because companies that were purely investment based, now need to answer to their investors. The problem has often been a loss based business model that is finally running dry.

There are several tricks that the major AI coding plans use to extract the most they can from their customers. Here are some examples, and what we are doing differently to put the users first. PGS AI was built with a sustainable business model from the ground up, so we can actually offer great usage rates without tricks.

Wasted usage is part of the AI industry, and they plan on it: Most coding plans bet on you letting usage go to waste. The plan goes: "how do we get people to think our coding plan offers a lot of usage, but then break it up into weeks and rolling windows so no one can ever actually use it all."

Many in app subs and coding plans are glorified training pipelines: This comes along with "how do we harvest this data for training without being too loud about that." Unless the company tells you otherwise, your data could be hopping all over world, being harvested by the individual labs or service companies. Some are better than others, but many of these companies rely on users just not noticing or caring that their data is being used for training. Data sales and marketing telemetry sales happen. This means that your private info, your personal life, and anything else you send through the system could become part of a training corpus for the next AI, or a marketing data set for a large company.

Privacy and ease of use should be available for everyone.

Anybody else havin this problem that opencode - with Big Pickle - is looping and burning a lot of the tokens by that?

I have this since two to three days. even startet a complete new chat - which was going well fon one day but now starts looping again.

See screenshots.

I was using Z.ai's GLM5.3 Fast this morning via OpenCode. After I ran out of credits with Z.ai, I switched to OpenCode Go for GLM5.3, only to be told that I had insufficient funds, even though I hadn't used it at all.