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Meta Sells Its First Frontier Model

$META (-0,54%) on Monday Muse Wonder and Muse Wonder Full on Monday and calls them his first Frontier models —in other words, the first generation that the company considers to be on par with the industry’s best.


Meta offers access in two ways:

Developers who build their own applications on the (Muse Wonder) book it through an API and pay based on the amount of text processed, calculated in tokens. The more powerful Wonder Full is available exclusively as a subscription in Meta’s own programming tool Muse Code. It is available for $50per month and, at the premium level, for $200per month, each with its own usage limits.


A comparison of token prices:

  • Muse Wonder:
    $4 per million input tokens, $20 per million output tokens
  • Claude Opus 5.5:
    $4 and $20 (identical)
  • Muse Spark 1.3, Meta's predecessor from early September: $1.25 and $4.25


In Meta’s own benchmark table, "Wonder" 9 out of 14 measurements to Opus 5.5. It leads in modifying existing code and in memory retention across multiple conversations. It trails in the independent overall ranking, in recreating complete programs, and in operating a computer.


Limitation: Meta itself has not provided Meta itself and describes them as “best-effort”. Model sizes and training effort therefore remain unpublished.


Overall , these models cost the same as Opus but perform slightly worse.

However, this can be seen as Meta’s first step toward properly monetizing its models and computing power and thereby taking on the competition.


Sources:

https://about.fb.com/news/2026/10/introducing-muse-wonder-models/

https://research.meta.ai/static/muse-wonder-model-card

$MSFT (+1,01%)$GOOGL (+0,11%)

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7 Commenti

immagine del profilo
Sorry, @myEmployer, about my part-time job—now you have to pay for Muse on top of Claude, Gemini, and OpenAI 😂👀
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immagine del profilo
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immagine del profilo
@Wealth-Accelerator No, I was really lucky there!

Do you remember my project—the one I also presented here on GetQuin—about inventory planning using AI?

I started building it for the national artificial intelligence competition and posted some of it on LinkedIn.

That led to me getting a job at a local startup, where I get to work in software development and sales.

I get all the Frontier LLMs—Claude, (Gemini), and ChatGPT—as well as server capacity, even for personal projects, all paid for by the company, plus a salary that’s over 40% above the minimum wage, plus commission and profit sharing…

So even though my idea back then might not have been the best from a business perspective, it was definitely worth it for me to take a step in this direction 👀

But to stay on topic, I don’t think I need Meta AI as well 😂
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immagine del profilo
@Klein-Anleger I was actually just trying to slip in a nice pun. 😉

But of course I remember. I seem to recall predicting something similar for you 😊👍🏼👍🏼

I’m really happy for you! This will benefit you throughout your entire career 💪🏼
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immagine del profilo
@Klein-Anleger If you keep this up, you'll soon be able to sell leveraged shares of your human capital 😉
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immagine del profilo
@Wealth-Accelerator 🤝❤️ Thanks for your feedback, both back then and now!

But what do you mean by “leveraged human capital” 😂👀? To be honest, I don’t quite get it.
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immagine del profilo
@Klein-Anleger After all, we’re all looking for the companies of the future that are currently undervalued so we can participate in their growth through an investment.
As a “regular” high school graduate, you possess a certain amount of human capital. Through additional education, work experience, and networking, your human capital increases.
Maybe you’re still undervalued right now, and people want to buy “shares” in you 😉
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