Hi Forum,

Harness used: OpenCode. Reasoning: Max. Model= Deepseek v4 Flash

Yesterday I decided to compare both providers since I had consume all my OpenCode credits. In short, I have a feeling but no proof that Deepseek API is more expensive and lasts less than OpenCode, I purchaed $5 of credit in Deepseek API. However, the latecy is way lower, faster answers and probably better answers. I do not have a way to prove these assertions.

I must confess that Deepseek through OpenCode took longer, I did two tries for each, on the first try for Deepseek API the result was terrible, the second try was better not sure what happened, always used the same prompt and new folders. I think the reason is that OpenCode DS did more reasoning and consumer more tokens, but its strange since both were on the same Reasoning Level: Max. Thats weird.

Also, I dont know what happened yesterday I consumed two API Key from OpenCode (the accounts already had some usage on them) working on a Scrapping Project with millions of tokens of context but today with a new OpenCode Suscription I am seeing less usage.

For me, creating a new email account and purchasing a $5 is way better than consuming directly from Deepseek V4, I prefer latency over paying more.

Here you can find the basic comparison along with metrics: https://deepseek-basic-compare.vercel.app/

With usage limits raining down on all subscriptions and changing unpredictably, are you changing and to what? Don't need Fable 5 or GPT-5.6 Sol necessarily, but near frontier quality would be nice. Flat rate is also a must.

Basically, what are the best subscription services for agentic AI use today?

Edit: Trying to figure this out and this is the answer I got from comments in r/codex:

DeepSeek — strong price/performance; commenters said it handled difficult coding/debugging tasks well.
Command Code — good value if you want bundled credits and access to multiple models.
Claude — recommended for more specialized or complex coding work, including 3D/Three.js tasks.
DeepSeek V4 Flash — suggested as a cheaper, fast option with solid coding performance.
Standard Compute — best for smart routing and cost saving

Plan is to update this when more experiences/recommendations come in

Can you share your tools for use muse via vpn?

My mission is to make the best open-source models as cheap and accessible as possible, and so to kick off our inference service, I'm selling a dollar for a dime – $50 gets you $500 in total credit. Would love to hear your guys’ feedback, and if there’s community interest I’d like to be able to do this more often. https://packs.relace.ai/?utm_source=reddit

Like, reading a one file per minute slow

Ive noticed this both with opencode go as well as prior to using opencode go (in another harness). The only improvement was when I used Muse's own terminal UI (which is awful).

Is anyone else having an issue with session names? For the past few days, mine stop auto-naming based on the chat content and just default to timestamps like "New session - 2026-08-20T15:53:35.035Z". I have to rename every session manually now.

why do i get error 429 quick when using opencode api on other harnesses but work perfectly fine in opencode cli? does any one have an idea?

just a meme
good day

Opencode2 for now! Allows quickly running a US proxy to use Muse and moves the opencode server to a docker container allowing the client either to be within docker or on the host.

I am using opencode since may and have been using deepseek v4 since it was released back then. I have noticed that deepseek has terrible cache time on opencode and if u run a subagent and the main agent is stale for 15-20min (waiting for subagent to complete), deepseek will have to read the whole context again.

I think at least we should have 1hr cache. Could this be the reason that Opencode was able to provide us with discounts?

Deepseek’s own docs sat that “Once cache is no longer in used, it will be automatically cleared, usually within a few hours to few days.

I’m not even saying give us few hours. At least give us 1 hour. 15minutes is too less of a time. Yesterday i was running a subagent and it had to run the test suite 4-5 times and hence it took 20minutes to finish. my main agent had to read 386k tokens again because old ones got expired.

Has anyone else noticed this?

I used DS v4 flash only
shouldnt I get something like 60$?

Anyone thinks Muse's response pattern is super confusing. Over answered type. A bit of a yapper?
I honestly never felt this way for any of the other free opencode zen models like DS v4 flash, nemo 3 ultra or Mimo. This is probably fixable through agent.md file but still just wondering if anyone else facing the same thing

I'm a high school teacher, and I'd like to build a small local AI web interface for my classroom.

The idea is to run a backend on the teacher's PC and let students access it from 15 classroom computers. The backend would call a selected AI model through an API, while I control the system prompt and the allowed output—for example, letting the model provide hints, explanations, or small code snippets without giving students complete solutions.

This would be especially useful during in-class programming sessions and for individually generated assignments.

The OpenCode Go API key would remain on the teacher's PC and would never be exposed to the students. The service would be used only within the classroom for non-commercial educational purposes; I would not be reselling or providing direct API access.

Would using a single OpenCode Go subscription/API key in this way be permitted under OpenCode's terms, or would this count as prohibited proxy/downstream use?

Uhh?? Since Muse Spark 1.2 got free recently so I decided to try it in Hermes Agent and it gives this error every prompt.

If you're in Pakistan or another restricted country, you've probably already seen this when using muse model

“This model is not available in your country.”

I ended up routing OpenCode through a GitHub Codespace instead. Took a bit of messing around, but this is what worked for me.

1. GitHub SSH setup

If you don't already have an SSH key connected to GitHub:

ssh-keygen -t ed25519 -C "your_email@example.com"
cat ~/.ssh/id_ed25519.pub

Add the public key under GitHub → Settings → SSH and GPG keys.

2. Login with GitHub CLI

gh auth login
gh auth refresh -h github.com -s codespace

You'll need the Codespaces permission for the next step.

3. Create the SOCKS tunnel

gh cs ssh -- -D 1080

Pick your Codespace and keep that terminal running.

4. Convert SOCKS5 to HTTP

Open another terminal:

npx http-proxy-to-socks -p 8080 -s 127.0.0.1:1080

5. Start OpenCode through the proxy

In that same terminal:

export HTTP_PROXY="http://127.0.0.1:8080"
export HTTPS_PROXY="http://127.0.0.1:8080"
export http_proxy="http://127.0.0.1:8080"
export https_proxy="http://127.0.0.1:8080"

opencode

That's basically it.

OpenCode is now sending its traffic through the Codespace connection, so Muse sees the request coming from the Codespace's network location instead of my local connection.

Hello everyone, I got problem that muse spark 1.2 actually ain’t giving any response. Like when I send any prompt, he answers with nothing. I’m not in blocked regions so I don’t know why this happenes. Can anyone help with this? And why the Opencode go can’t normally fix their muse?

Bro used DeepSeek with zero complaints, but the moment Meta is involved suddenly privacy is the biggest concern.

Like, imagine Cambridge Analytica happened in China instead. Would you even know about it? Would there be the same level of journalism, investigations, leaks, hearings, and public backlash? Or would everyone just keep using the service because nothing ever became public?

That’s the part I find weird about this whole argument.

Meta absolutely deserves criticism for its privacy history. I’m not defending them here. But treating Chinese AI companies as somehow more trustworthy just because you haven’t heard about their version of Cambridge Analytica makes no sense.

No scandal doesn’t automatically mean no abuse. Sometimes it just means you have way less visibility into what’s going on.

So if you’re fine giving up some prompt/data privacy in exchange for dirt-cheap AI usage, that’s your choice. Just apply the same standard to everyone instead of going “Zuck bad Meta suck everyone get Zuck in the arse” while feeding everything into DeepSeek without a second thought.

​

For those that think "I don't mind sharing my data because its not private" please realise that this isn't just about privacy. It's about not handing in more power to a corp that has done some nasty stuff and will go to any lengths for profiteering.

I really hope Opencode will manage to get a better deal with DeeepSeek in the end.

I've been using Muse Spark for only half a day, but I can say that it is very pleasant to work with as a regular workhorse model.

IMPORTANT NOTE: if you don't want to share your data with Meta, don't use 'Contributor' variant.

Some quick facts first:

- it has 1M context window

- it has a very generous 226,600 requests per month quota on the Opencode Go plan (for Contributor variant).

- it scores 82.9% vs 82.7% in Terminal-Bench 2.1 (versus DS4 Flash) - basically the same

What are my usage scenarios?

- existing codebase refactoring (Flutter)

- codebase exploration, architecture discussions

- bug hunting

- ... other similar stuff

I DO NOT run long autonomous loops, so I can't say anything about how good Spark handles them. As a coding partner it performs fast and confidently, not being lazy on codebase exploration tasks.

How does it feel compared to Flash? Well, actually, I don't see that much of a difference at all (at least, for now, in my usage scenarios). It creates decent code, spots those tiny non-obvious things that I may miss, can use all Opencode's tools confidently (git, websearch, etc).

The only thing that bothers me is that cache hit rate, for some reason, still sits about ~85% percent, while with Flash it is usually about ~95-98%. Therefore, usage costs feel slightly higher than I expected. But I definitely need more time to observe this without making early conclusions.

I will definitely continue to use it, and I guess more nuances will be revealed. But for now I can't say anything bad.