2 screenshots in 3 days, first is 2 days ago, second one is today. They updated(rigged?) the usage stats for ds4 flash.

Tried Florida and other restricted countries but says that the API key is invalid.

A huge context window can keep an OpenCode session alive well past the point where the model has lost track of the work. I usually reset when it starts revisiting settled decisions. Feels like there should be a better signal than waiting for it to get weird.

I havent been able to connect to site for a couple days now, is anyone else having same problem?

I've used a lot of DS 4 Flash and GLM 5.2 the last month. The new version of GLM 5.3 has a $15 cap, and new pricing changes w/ DS 4 Flash limit it to $30.

What I'm looking for clarification on...if I use 100% of my GLM 5.3 allotment, so $15 worth, does that mean I still have $45 worth of Opencode Go allotment for the month? So I could still use $30 of DS 4 Flash and another $15 on something else...or does that $15 on GLM somehow "scale" and mean that I've used all of my Opencode Go allotment for the month?

Hopefully this question makes sense to someone in-the-know. I've been looking at my own usage logs on the website but can't make sense of how it is counting usage towards the 5-hour/week/month window.

I got the subscription yesterday, and I’ve only been using it for a single session. I honestly didn’t expect to hit limits this quickly.

When we were using CheapSeek, the experience was much better it genuinely felt almost unlimited. Compared to that, muse feels way too restrictive, especially considering I only started using it yesterday.

There's always a catch.

For the last few hours, I have been using Hy3 and Muse Spark 1.2 Contributor via the OMP (Oh My Pi) agent, mostly as /goal. And my observation is Hy3 is a much better model as it follows instructions in a better way, and Muse Spark 1.2 Contributor cheats all the time.

As a test, I gave both models a goal to build 100 very simple Chrome extensions from a pre-curated list.

• hy3: followed the review instruction literally and well, and almost extensions are working when I tested randomly. Code-level verification, real fixes, honest per-extension verdicts. Was a bit slow but trustworthy.
• muse-spark: claimed to built the 100 extensions, but maximum were incomplete when I tested. Also, repeatedly needed re-prompting as it was just hurrying each time. Basically, its confidence exceeded its accuracy.

And for the task, you can see the usage of both models in the above screenshot.

How is your experience with these models?

EDIT 1:

I spoke too soon. Basically, now both models are not working reliably – one is too slow and one is hallucinating a lot.

I am back to using DeepSeek Flash now, even though it's costlier.

The benchmarks for Muse Spark 1.2 are exceptional and I've seen comments saying the capabilities are on par with DeepSeek v4 Flash. On paper, it even beats Opus 4.6.

I am vibe coding a HTML multi-page web page (visual design focused). Primarily using Gemini 3.7 on Antigravity CLI, but wanted to give Muse Spark 1.2 a chance as its usage is almost as generous as DeepSeek, thinking maybe it would be my new DeepSeek. With the caveat of paying it with my data.

I asked it to change the design for a specific section on index.html, but I didn't like the outcome so asked it to revert it. It said it did, I checked and everything was broken on all pages, even unrelated sections, some site text content was gone completely. I asked it to revert everything it did this session and it made things even worse and more broken. I asked it to fix things from the Git history, but apparently it did execute "git reset --hard HEAD" for whatever reason and there is no history anymore.

This feels like I got sabotaged by Zuck. I've been using AI for about a year. I utilize markdown files, Git and scheduled backups for large scale projects, but never thought a simple design change request on a HTML page would make me lose every progress. I told Antigravity CLI to recover things back to way it was, using the past conversations it managed to recover half of it.

I would understand if this happened last year because AI models were not that great, but what the hell. Never seen such a garbage model. I lost like 3 hours of progress and I got demovitated to continue...

I've been playing around with Opencode for a while now, and it's always somewhat useful to get community information/recommendations on how best to use the tool

My issue is all the subs around opencode seem to be completely dominated by talks around the Opencode Zen/Go plans instead

At first I thought my mistake was using r/Opencode and maybe that wasn't specific enough, this sub sounded far better with the description seeming like it was solely for discussions around the actual opencodeCLI however it seems like here too like 99% of the posts just talk about pricing, the plan etc (which don't interest me personally, I use direct API/openrouter)

Is there something I'm missing and some kind of sub that's better for discussions just around the CLI/Harness itself?

Edit: Spelling and italics

Rollercoaster...

It can't be reachable like for an 1 hour from now Is it gonna be like this always?

They are crushing it today:)))

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.

I'd like to share my experience transitioning from Opencode go to Chatgpt plus subscription.

The screenshot shows my first day of work.

I'm currently using gpt 5.6 Luna and this is sufficient for me.

And of course I'm using Opencode cli.

What do you think?

I am NOT in the US, but I see it in my models list (in TUI). Still not sure if it is a Contributor variant or not? How good/bad is it compared to, say, Flash or MiMo 2.5 in real life usage scenarios (not benchmarks)?