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Muse Spark 1.1 by Meta AI

Multimodal reasoning model built for agentic tasks

Artificial Intelligence

Hunted byAdithya ShreshtiAdithya Shreshti

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Muse Spark 1.1 by Meta AI

Multimodal reasoning model built for agentic tasks

The latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.

Top comment

Excited to hunt Muse Spark 1.1! 🚀


Some highlights:

  • 🧠 New multimodal reasoning model for agentic AI

  • 💻 Major improvements in coding, tool use, and computer use

  • 🖼️ Stronger multimodal understanding

  • ⚡ Faster execution with multi-agent orchestration

  • 📚 Massive 1M-token context window

  • 🔌 Public preview of the Meta Model API for developers

  • 🤖 Available now in Thinking mode on Meta AI and meta.ai

If you're building AI agents or developer tools, this one is worth checking out. Curious to hear what everyone thinks!

About Muse Spark 1.1 by Meta AI on Product Hunt

Multimodal reasoning model built for agentic tasks

Muse Spark 1.1 by Meta AI launched on Product Hunt on July 10th, 2026 and earned 127 upvotes and 7 comments, placing #11 on the daily leaderboard. The latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.

On the analytics side, Muse Spark 1.1 by Meta AI competes within Artificial Intelligence — topics that collectively have 473.7k followers on Product Hunt. The dashboard above tracks how Muse Spark 1.1 by Meta AI performed against the three products that launched closest to it on the same day.

Who hunted Muse Spark 1.1 by Meta AI?

Muse Spark 1.1 by Meta AI was hunted by Adithya Shreshti. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Muse Spark 1.1 by Meta AI including community comment highlights and product details, visit the product overview.