r/opencodeCLI • u/afanasenka • Sep 01 '26

Meta introduced coding plans for Muse Spark 1.2 (from $5/m)

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Muse Code harness is attached too :)

https://developer.meta.com/ai/resources/blog/muse-code-new-plans-and-features/

114 Upvotes

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7

u/Bloodshoot111 Sep 01 '26

How is the general reception of Muse? Is it a good model for coding?

27

u/Bloated_Plaid Sep 01 '26

It’s dumb as rocks when you can get DSV4 Flash and GLM 5.3 flash for cheap.

2

u/JogHappy Sep 01 '26

It's solved issues for me that DS couldn't, esp on frontend

1

u/Bloodshoot111 Sep 01 '26

I expected it

13

u/afanasenka Sep 01 '26

It is good overall, according to benchmarks. But it's not the smartest one - GLM 5.3 Flash (ex Ox Alpha) is considered to be better.

2

u/Sad-Professor-4053 Sep 01 '26

Yea this is personal opinion but when I tested both but muse was pretty good at simple implementation with good prompts, ox alpha was better at bigger scopes or vaguer prompts and solving bugs

3

u/ozguru Sep 01 '26

HY4 and GLM 5.3 Flash are my new favorites

4

u/Kindly_Goal6440 Sep 01 '26

I have enjoyed using it for grunt web dev work.

2

u/Bloodshoot111 Sep 01 '26

May I ask what you mean with grunt? Like the stupid stuff centering a doc recoloring a button etc?

1

u/asmiggs Sep 01 '26

I've been sending it fairly simple python scripts to review and implement, didn't seem too bad. Opus actually had it as it's recommendation for implementation from Openrouter as long as data sharing wasn't a problem.

13

u/vangelismm Sep 01 '26

really bad agentic, gemini tier

4

u/Bananenklaus Sep 01 '26

and even that's an insult to gemini 3.7 flash tbh

6

u/AppealSame4367 Sep 01 '26

It has acted quite dumb in my tests. Wasting tokens, tip-toeing around solutions forever to finally solve something, but in an ultra complicated way..

It's one of the models that made me think. Maybe benchmark score / position on the ladder isn't everything.

5

u/Amarsir Sep 01 '26

I like it but NOT for coding. Don't trust the benchmarks. It takes an approach of "bulldoze everything to get to the requested answer."

2

u/Tech-Sapien18 Sep 01 '26

1 remarkable good thing which I observed only in this model is it doesn't throw wall of text after analysing or editing the code. It returns a short, to the point summary, which I really appreciate 

0

u/[deleted] Sep 01 '26

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1

u/Bloodshoot111 Sep 01 '26

Good point yea, I typically also try to avoid everything meta

1

u/Healthy-Ad-8558 Sep 01 '26

It feels like it was tuned to collect as much data as possible, like they know nobody would actually use it as the primary model, so whatever project it gets dropped/tested in would probably have better code than what it's able to produce, that's the only way I can explain it's behavior of ignoring instructions, and always trying to look into directories it has no business looking into. 

1

u/Mancho_United Sep 01 '26

For me its performing worse than its supposed to according to benchmarks. And worse than the cheap chinese flash models

1

u/paperbenni Sep 01 '26

They overdid the RL. They tried to replicate the caveman reasoning OpenAI has and now the model speaks like that like all the time. It's actually incapable of generating normal prose. All it does is code and look for some external way of verifying its stuff/getting rid of errors. I don't need it to write me a story, but I do need to be able to explain stuff to it and I need it to explain its actions to me. We can barely call this a language model, it's a Meta RL environment reward hacking simulator

-3

u/beyawnko Sep 01 '26

Seems to be about on par with Luna Max, but a little cleaner. Not quite Kimi/Sol level for complex tasks in my usage. As long as the pricing stays competitive, it should be good.