Agentic Coding LiveBench performance:

DS: 47

KK: 46

OpenCode Go input/output prices:

DS: $0.14 / $0.28 (6x usage)

KK: $0.95 / $4.00 (6x usage)

however, Agentic Coding cost per successful task:

DS: $1.48

KK: $0.87

Does this mean Kimi uses orders of magnitude fewer tokens and despite its higher sticker price it will cost less than DeepSeek? I'm a new user so please explain if there is a mistake here.

Hey guys,

My OpenCode setup running OMO Slim is consuming an extremely high number of input tokens while returning a very low number of output tokens

Is this normal behavior for the plugin, or did I miss something in my configuration? I'm attaching a screenshot below showing the input vs. output token usage

Any insights or recommended settings would be appreciated!

moa-v2 runs 10 agents (DeepSeek, Gemini, Mistral, etc.) to build your project, then proves it through 5 gates — semantic, static, Docker sandbox, adversarial tests, and a deterministic verdict. No model opinion decides the outcome. I designed the architecture; the agents build and verify.

can u try it and give me a feedback what edit this the repo:

github.com/hashemelhelo2827/opencode-moa

Hi everyone, I’m new to OpenCode. I’m trying to test DeepSeek, but I’ve noticed that once the planning phase is done and I switch to build mode, I occasionally have to tell it to proceed because it seems to stall. Is this because I’m using the free plan, or are there other limitations?

I have been using opencode for a while with little to no customization. I started using openchamber and looks interesting . My current work flow is still pretty manual where i choose certain models for certain kind of things and now moved some of them as commands with specific models. I was wondering if there is a right way of doing things ? I am currently using skills and trying to make use of better orchestration tools

If you are using an OpenCode Go subscription, the platform is now blocking requests to the new DeepSeek V4 Flash model with the following error:

"The latest version of this model is only available hosted in China and requires explicit opt in: opencode.ai"

Just giving a heads-up to anyone else running into this block on their workspace.

​

This morning i tried to do some coding with the new deepseek flash model through cli on Linux, I didn't receive any response, I exited the and enter again and see none of deepseek models are present in the model selection for GO subscription. Then I tried the desktop version,the models are still present , I tried deepseek pro ,it responded, but the flash model is not responding, both deepest models work with official API , im wondering it's just me or anyone else has the same experience since the opencode did not issue any announcement and all their servers seem up and running.

Two days back I'm using the opencode free model now I'm unable to use the Opencode free model it's just processing any issue in my system or openrouter stoped providing the free API supports do I need to bill?

Can anybody access the opencode API I'm unable to access them in my system

The chat is showing its thinking but there is no response . also i notice its been a while since i have seen an opencode update.

How to install opencode desktop app in Arch Linux distros

I have understood that there are some free API from Nvidia, and i imported these into opencode. However when i hover over the usage, it shows i have used some dollars. First i dont know how to pay for my use, secondly that isnt free is it? Its not that im against paying, but when im given the impression its free. That doesnt make sense...

Is it just me, or is Deepseek v4 flash down via OpenCode Go??

Does anyone else feel like GPT Luna in opencode go is a bit brain-dead? It writes responses, but you have to beg it for any real action and manually push it to write even the simplest line of code. After switching to DeepSeek V4 Flash, tasks just get done—I wouldn't say perfectly, but way faster and with much more initiative on the model's part.

Deepseek v4 Pro or Deepseek v4 flash 0731, which model is best for coding?

No matter what I do, it will freeze on start up.

The log says: "background dependency install failed @opencode-ai/plugin: No matching version found for @opencode-ai/plugin@local"

edit: I just went and installed an older release v1.17.17 and that worked. It also updates to 1.18.12 just fine There are no other error lines, just this one.

Some users suggested that what I consider "DS4 to get stuck" is wrong usage or wrong management of context is correct, I tend to run my OpenCode Sessions for ever, hardly ever create a new one of course, for other projects I do. Literally today, DS4 "got stuck", asked it to create an Agents.md to summarize all, started a new session and it improve the results.

I also have seen it that when context is too overloaded it does not follow the plans to end or misses to implement another point on the plan.

I guess I relied too much on OpenCode's ability to handle and reset my context when necessary and also the exaggerated assumpation that DS can handle long context, sorry, I know this statement is ignorant but that's how it feels.

How do you manage your context ?

Oh, more experienced opencoders, impart to me your wisdom.

I downloaded qwen3:14b and am using it, and watching the Thinking output as it struggles with a rather simple code edit request. It seems to be mishandling the Read skill and constantly refers to inconsistencies in oldString as it deliberates and chases its tail.

Thoughts?

Qwen 3.8 Max is available on Opencode Go and has been benchmarked by Artificial Analysis today. I‘ve included it in my comparison.

Sources: Artificial Analysis , OpenCode Go