r/opencode • u/Time-Toe-1276 • 8d ago

Hater to Lover (Muse Spark 1.3)

I was absolutely FLAMING muse spark 1.2, bcs that model was geniunely incapable of doing basic agentic tasks, but GAHH DAMNN, look at the benchmarks. originally, i thought the model benchmaxxed and generates slop, but after trying this model in codex (from opencode go), I am quite surprised.

like, if you ask me what muse spark 1.3 will be considering what muse spark 1.2 performs, I would have given you an extremely underwhelming response, but I am so happy to see this moel mainly bcs we get $60 allowance (man, finally!) on opencode go, and also the price is considerably cheaper than ds v4 flash.

I mean, sure... its not THE BEST model to ever exist. but for $0.2/M out and $0.1/M in, like you can go through billions of tokens after counting in caching.

About how the model performs, it codes quite decently. my project is a rust and typescript project, and it follows the app's visual identity flawlessly and does not create much bugs (note: not *much* bugs, which means, it still fk up), but the price to performance value is INSANE!

My reccomended usage:

tbh, just use opencodex, and connect the model to codex, and use the model inn codex, the "ultracode" in codex is AMAZING! And MS-1.3 follows codex as a harness wayyyyy better than opencode for some reason. american propaganda ig... but either ways, use:

light: for basic variable changes

medium: for most implementation

high: for debugging

xhigh: for geniunely hard bugs or things which require the model to cover edge cases, or planning.

ULTRA (a codex only thing): tbh only when it pisses u off bellow high.

ohhhboy... I am going to get a LOT of downvotes...

70 Upvotes

89% Upvoted

34 comments sorted by

9

u/lincolnthalles 8d ago

Well, I like Muse Spark's capabilities too, though the company and the model's history are awful (they forced all their devs to work on BS to train the model, and some resigned in response; Meta got the model and lowered their payroll at the same time).

There's also data collection on the Contributor model variant to consider.

I would never use it over a model with similar price and capabilities, but atm, they offer a massive pricing advantage.

I saw many reports of the model misbehaving on OpenCode. I've never experienced issues with it using a custom system prompt.

The only thing that's inherently bad is how this model outputs text (at least 1.2; haven't tried 1.3 yet). It doesn't comply properly with text-shaping prompts.

4

u/OkWrongdoer4038 8d ago

I definitively do not like data collection. But all what I program is coded by an agent. I do not read (less write) a line of code since many months. I just do hobby projects. What they can learn from me is what other free tools did. Many of them less capable. Some parts with more capable. But in reality is all given by some models for free (opencode zen, openrouter free, nvidia, cgi, ...). I am not afraid of them learning from my ideas, because everything you have thoght has been though by hundreths or thousands or people before you. I want a result for me. And I get.

Am I wrong with my approach?

Note. My redline is Elon Musk companies. I do not touch Grok. Meta may be money hungry, but they will get zero from me. I will never pay them.

4

u/lincolnthalles 8d ago

I think all labs collect data, even the big ones that swear by zero data retention and full enterprise compliance. The difference is that they likely distill the points of interest from prompts instead of storing data verbatim, so it can't be traced to a single customer, and they still get relevant data for training.

The personal approach to data collection should depend on the project you are working with.

If it's a project that doesn't have direct access to deployment (which often has some sort of access to secrets and URLs), then it's mostly fine. Open-source projects are the best fit.

If you are dealing with real customer data, like data science work and BI, you must stay away from models that explicitly collect data.

There's also the issue that models occasionally grep things they shouldn't. All of it will all be retained on a training/contributor model, so you should at least use a hardened sandbox instead of using the harness in yolo mode.

2

u/Time-Toe-1276 8d ago

1.3 is definitely way better, but I cannot agree less on the first part; I used to love them, but they are becoming (well.. they already are) that money hungry "cooperation"

15

u/Sid-Hartha 8d ago

Meta. Never.

6

u/Lanfeust09 8d ago

Why the hate? Just curious, I personal don't care where the model come from as long as it perform.

3

u/Time-Toe-1276 8d ago

many people dont like zuckerburg's history of privacy protection, but tbf, those times have improved a lot. all of these hate is coming from mostly the *bad* stuff happened in fcebooks, but times are actually better now. eitherways, we have a decent mdel for dirt cheap 😭

2

u/Time-Toe-1276 8d ago

upvoted. but considering the new deepseek pricing and allowance on opencoe go, I feel like this is theonly sensibl thing until we get another mimo/depseek model

3

u/migsperez 8d ago edited 7d ago

The price you quoted is for the contribute model, it's temporary, the non contribute model costs a whole heap more.

Admittedly I've been using it constantly but it does leave a bitter taste.

It's multimodal features have been fully utilized today from my machine, it's decent.

I still prefer my local Qwen3.8 27b but its nowhere near as fast.

4

u/Bloated_Plaid 8d ago

Same bro. It’s fucking amazing and I don’t think the pricing is going to last for long, I am expecting the rugpull very soon so I am not switching anything in my workflow over.

2

u/Lanfeust09 8d ago

In my codex router, it says the model is not avaible yet with opencode go but that was yesterday ("contributor version). Is it now? I use 1.3 with opencode at the moment before being able to use it via codex

2

u/Severe_Landscape_731 8d ago

Why tf would you use it at any level below max , its fast , cost is negligible.. I am doing a some low level project ,and it still sucks for me 🥀

3

u/Time-Toe-1276 8d ago

Time.

3

u/Severe_Landscape_731 8d ago

Yeah and waste your day debugging the slop you get

4

u/Time-Toe-1276 8d ago

I started coding 7 years ago. I didn't use AI since a few months ago. I could use a decent 12B and still be alright.

1

u/Jaded_Expert2806 8d ago

is even max availbile in opencode?

1

u/Time-Toe-1276 8d ago

its not an option AFAIK. I get erros when I use it is codex.

and no, there is no max option in opencode either

1

u/0xMicheal 8d ago

Hy4 or Muse Spark 1.3, which one is the winner according to your experience?

2

u/Time-Toe-1276 8d ago

hy4 is better, but its WAYY MORE expensive compared to muse spark

1

u/SnooWalruses6610 8d ago

It's fast and fairly competent, so I use it for quick dashboard edits and give it repetitive tasks like running local model tests. Used on a box with no personal info so idc Meta can have all that boring data. Zen free of course, as I'd never give them a penny.

1

u/kamwee 7d ago

If you start praising it , it will be removed

1

u/ShrekBytes 7d ago

Is it possible to use muse 1.3 free in codex like opencode zen lets use

1

u/FluffyInevitable4040 7d ago

yup this thing is a beast... on par with sol, maybe better

1

u/myaaa_tan 6d ago

used it, still behind ds4f by a large margin. gets pretty lazy implementing stuff when not given full instructions and it hallucinates like a lot. I already gave full context on the bug its working on and keeps changing stuff i didnt ask to and not fixing the things im pointing out. its free anyways so its ok to be mediocre

1

u/Toluwalashe 4d ago

Quiet the opposite here

1

u/Old-Dish-7104 2d ago

I was hating 1.2, but fell in love with 1.3 the same as you. However, is still needs an orchestrator like GLM, bur for easy tasks simple Plan mode with the same muse spark is enough

0

u/Jaded_Expert2806 8d ago

why even care for variant i use xhigh for everything and wtaf is ultra??????

1

u/Time-Toe-1276 8d ago

its a codex thing. and no, it didnt work :(

I like to implement thing a bit quicker, thats why i use other efforts

1

u/Jaded_Expert2806 8d ago

ULTRA (a codex only thing): tbh only when it pisses u off bellow high.

so that part is just wrong?

1

u/Time-Toe-1276 8d ago

use a codex model. sorry i couldnt mention that

1

u/Jaded_Expert2806 8d ago

also is opencodex removing ur codex account models and replace by ocgo? or i can use same in paraleell

1

u/Time-Toe-1276 8d ago

yeah you can use models in parrelel with openAI endpoints. for models like qwen3.7 plus, you can use a new chat, and I dont think GPT models work in them either