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title: Meta releases its first frontier model, Muse Wonder
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# Meta releases its first frontier model, Muse Wonder

**[TechCrunch](https://daily.dev/sources/tc)** · 2 min read · 0 upvotes · 0 comments

## Summary

Meta's Superintelligence Lab launched Muse Wonder and Muse Wonder Full, its first frontier-class AI models, claiming benchmark parity with Fable 5.1 and GPT-6 Astra. Wonder is priced at $4 per million input tokens and $20 per million output tokens via the Meta Model API, comparable to GPT-6 Sol or Opus 5.5, while Wonder Full is exclusive to Muse Code subscribers and not available via API. Both models power the Muse agent and emphasize 'active memory,' with Meta citing top scores on the MemoryBench benchmark. The release follows Alexandr Wang's restructuring of Meta's AI division and was trained at the new Prometheus data center in Ohio.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/10/12/meta-releases-its-first-frontier-model-muse-wonder>

## Questions this post answers

### How much does Meta's Muse Wonder model cost to use via API?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens through the Meta Model API, making it roughly comparable in price to GPT-6 Sol or Opus 5.5. Wonder Full, the larger variant, is not available through the API at all and is restricted to Muse Code subscribers.

_Comparing frontier model pricing before committing to an API? Track releases like this on daily.dev._

### What is Meta's Muse Wonder and how does it compare to other frontier AI models?

Muse Wonder and Muse Wonder Full are Meta's first frontier-class models, released by its Superintelligence Lab, with benchmark scores said to be comparable to Fable 5.1 and GPT-6 Astra. They outperform Fable, Opus, and Astra on the MemoryBench benchmark, which tests continual learning and memory construction, reflecting Meta's focus on 'active memory' for long-term personal assistants.

_Developers weighing frontier models for coding tasks can follow benchmark comparisons like this on daily.dev._

### Where was Meta's Muse Wonder model trained?

Muse Wonder was trained at Meta's Prometheus data center in central Ohio, which came online earlier in the year of release. This marks the first state-of-the-art frontier model release from Meta since Scale AI founder Alexandr Wang restructured the company's AI efforts in August of the prior year.

_Those tracking Meta's AI infrastructure buildout can follow developments like this on daily.dev._

## Similar posts on daily.dev

- [Meta enters the crowded AI coding battle with Muse Spark 1.1](https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt) · TechCrunch · 1 upvotes · 0 comments
- [Meta debuts Muse Spark 1.1 and it isn’t free](https://daily.dev/posts/meta-debuts-muse-spark-1-1-and-it-isn-t-free-h3ju1gqtf) · The New Stack · 6 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents)

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