{"slug": "lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact", "title": "Lets Investigate The Hype Around Facebook’s Big Comeback With Muse Spark 1.1, Fact or Fiction", "summary": "Meta released Muse Spark 1.1 into public preview on July 9, offering a multimodal model with competitive pricing of $1.25 per million input tokens and $4.25 per million output tokens, along with 118.1 output tokens per second and a 1M-token context window. The model is positioned as a cost-effective worker for bounded tasks like screenshot triage and long-document extraction, though the author cautions against calling it a proven long-horizon agent.", "body_md": "Member-only story\n\n# Lets Investigate The Hype Around Facebook’s Big Comeback With Muse Spark 1.1, Fact or Fiction\n\nMeta put Muse Spark 1.1 into public preview on July 9. The part I care about is not the usual claim that a new model can plan, code and use tools. It is the economics of giving a multimodal worker a real job inside an agent loop: $1.25 per million input tokens, $4.25 per million output tokens, 118.1 output tokens per second, and a 1M-token context window, according to Artificial Analysis.\n\nThat combination makes the model worth routing into bounded work now. Screenshot triage, browser-and-tool tasks, scoped bug fixes, long-document extraction and repeatable verifier loops all become cheaper to run. Meta is calling the model a step toward personal superintelligence. I would keep the claim smaller: Muse Spark 1.1 looks like a serious worker model before it looks like a proven long-horizon main agent.\n\nI am Caspar Bannink, and I build AI products and agent workflows. [HomeScout](https://homescout.io), my AI rental-search product for Dublin renters and expats, has no connection to Meta or Muse Spark. I write the practical routing notes here on [CasparAI](https://medium.com/@CasparAI) and on [LinkedIn](https://www.linkedin.com/in/caspar-bannink-719440217/).\n\n## The independent receipt is better than the launch wording\n\nArtificial Analysis currently gives the xhigh reasoning configuration an…", "url": "https://wpnews.pro/news/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact", "canonical_source": "https://pub.towardsai.net/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact-or-fiction-8317fdf51af9?source=rss----98111c9905da---4", "published_at": "2026-07-16 19:01:02+00:00", "updated_at": "2026-07-16 19:31:13.639373+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products", "ai-infrastructure"], "entities": ["Meta", "Muse Spark 1.1", "Artificial Analysis", "Caspar Bannink", "HomeScout"], "alternates": {"html": "https://wpnews.pro/news/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact", "markdown": "https://wpnews.pro/news/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact.md", "text": "https://wpnews.pro/news/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact.txt", "jsonld": "https://wpnews.pro/news/lets-investigate-the-hype-around-facebooks-big-comeback-with-muse-spark-1-1-fact.jsonld"}}