Muse Code and Muse Spark 1.2

Meta is offering a 10x discount on input ($0.10 vs. $1.25/Mtok) and 20x discount on output ($0.20 vs. $4.25/Mtok) if you opt in to let them train on your data.https://developer.meta.com/ai/models/muse-spark/ reply: I actually really like that pricing strategy. It's very transparent

They chose to compare against Open AI’s mid tier model Terra instead of Sol and still lost some benchmark against it.They left Opus in and got beat in all but one benchmark.Nothing wrong with trying to improve, but why the marketing games?Instead of trying to say in the post you’re “closer” to frontier, first set a clear goal to beat the Chinese labs on price or performance and demonstrate it convincingly.Then when your ready, come back and talk frontier without playing hide the model. reply: Given the current throughput figures on OpenRouter (~180 tk/s), its likely a much smaller param count on the order of something like Luna. I think the better, more timely comparison (re: your point on Chinese labs) would be to DeepSeek-V4-Flash-0731.It's definitely confusing from a presentation perspective, but they are somewhat coherent comparisons if you account for the inference heuristics involved.(They could in theory be gaming the decode speeds with much larger than normal batch sizes given the TTFT is pretty high at around 8s)

If you got the $20 in free credits from Meta for signing up when muse-spark-1.1 was release, please note that there's now small print stating "While using free credits your content may be used for product improvement" which was not present at muse-spark-1.1 launch when the credits were given out.If you don't mind Meta retaining your data, the "Contributor" pricing is deepseek-v4-flash-level of low, roughly 1/10th normal muse-spark API pricing currently. Attractive if you're OK with them retaining and using your data. reply: The API costs for the version of their model that feeds things back to meta is also drastically lower.

The most interesting thing here is the kernel optimization graph.It look like all models were still improving, when they cut off the experiment.It reminds me of a genetic algorithm. The graph is the same: long plateaus and then massive leaps.The only difference between the models seems to be how quickly they arrive.

https://pbs.twimg.com/media/HO-59jQaoAA_JZ1?format=jpgVery interesting they have a way cheaper "contributor" version "used to improve our products", how much of that is price discrimination vs the data being that valuable?Roughly DeepSeek V4 Flash pricing, though you can get V4 from providers that don't train on your data

Hey guys I'm just wondering. Usually when someone announces a new model, they'll show you some fancy viz/video/images: "These are what my model can produce." I'm wondering if anyone is keeping track of these? Like in a gallery form, "Use this prompt to produce this output".By itself is useful ("I want something like this, I'll just reuse the prompt and tweak"), but it can also be used as a "draw me a pelican on a bicyle" alternative. Basically feeding those prompts over model releases.

This is a nice release and a solid improvement over Spark 1.1. It compares favorably with Grok 4.5. Not SOTA, but solid releases. I think they need to really get this more competitive with Deepseek V4 Flash / Luna pricing to move the needle. reply: If you are happy to share data for training, the contributor mode offers amazing price $0.10 / $0.20

It can cyberattack other companies, too: https://www.cnn.com/2026/08/05/tech/meta-ai-hacking reply: Okay, this is getting ridiculous. Were they feeling left out?

There’s no way I’m giving Zuck any of my data.

Last I heard, everyone at Meta was using Claude Code.Any insiders know how Muse Code is doing internally?

I wonder why they didn't compare with GPT-5.6-sol, only Terra?

Here's the Muse Spark 1.2 pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht...I think it's a bit of an improvement on the Spark 1.1 pelican: https://simonwillison.net/2026/Jul/9/muse-spark-1-1/

Pricing: https://dev.meta.ai/docs/pricing-rate-limitsInteresting that they have separate API pricing for "we can train on your data" (whereas iirc most of the big players either make that distinction only between subscriptions and API usage, or train on everything). Wonder how it compares to Deepseek V4 Flash given that they're similar on pricing and data policy.

Ive been poking with the muse code binary - seems to be written in rust, looks similar to codex but either its a very hard fork (i also see dissimilar things like config format is different, no acp, etc) or is just heavily inspired by it (more likely).

Does this muse code have any muse spark 1.2 usage included? Can't understand from the docs.

Do they train on their own data?I mean, when Meta's engineer is creating some new DINOv4 or Segment Anything, with all the scaffolding around it, do they train on that?

> Muse Spark 1.2 is available today in Muse Code and in Meta Model API with expanded global accessWasn't the previous one us only? This is probably the biggest part of the postAnyone know if muse code is open source?

I do think some of features in their harness seem interesting (workers in separate worktrees at once), recovery from crashes seem interesting.

Is this becoming a race where we have a usual flow of a company .. AI models, Coding agents, image generation tools, and more AI models ?

Why does every AI lab feel the need to build their own coding agent…? Don’t we have more than enough already?

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1, with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. In Muse Spark 1.2, we significantly scaled up training compute on coding tasks while expanding training environment diversity. The model also maintains its strength in other key areas like general agents.

Why should I leave Claude or GPT and switch to Meta's aMUSEment model?

the soak tub in the kitchen was nice

Interesting, it seems like their muse code is built upon Codex CLI?

I wish they would add a ZDR endpoint on OpenRouter

Fun, this is currently on the front page at the same time this https://news.ycombinator.com/item?id=49187977 is

Will someone at Meta for the love of God make it so none of this stuff goes through Facebook.com? You want customers but most corporate firewalls block social media. Also, a lot of devs do not want their work stuff tied up to their facebook account. For the love of all things show the IG / FB logins as optional and do email as primary.I am not a fan of Meta but I do cheer for any competitors against OpenAI and Anthropic, the duopoly is getting tiresome.

The only company less trustworthy than OpenAI and Anthropic is meta.