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.

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Excited to hunt Muse Spark 1.1! ๐Ÿš€


Some highlights:

  • ๐Ÿง  New multimodal reasoning model for agentic AI

  • ๐Ÿ’ป Major improvements in coding, tool use, and computer use

  • ๐Ÿ–ผ๏ธ Stronger multimodal understanding

  • โšก Faster execution with multi-agent orchestration

  • ๐Ÿ“š Massive 1M-token context window

  • ๐Ÿ”Œ Public preview of the Meta Model API for developers

  • ๐Ÿค– Available now in Thinking mode on Meta AI and

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

ย Congrats on the launch ๐Ÿš€

A 1M token context window and stronger agent capabilities are definitely exciting, but I'm most curious about the practical side.

What real world workflow do you think Spark 1.1 unlocks that simply wasn't feasible before? I'd love to hear the use case where you've seen the biggest leap over previous models.

Excited to see what builders create with it! ๐Ÿ”ฅ

Tool use feels noticeably snappier than the previous version, and the multimodal understanding caught a subtle detail in a chart I threw at it.

The tool use improvements are genuinely noticeable, it handled a multi-step browser task without me hand-holding it. Coding feels tighter too. Curious to see how it stacks up against the reasoning models dropping this week.

Tried it on a quick coding task and the tool calling was noticeably sharper than the last version, picked the right API without me hand-holding. Solid upgrade.

The focus on agentic tasks caught my attention. What kinds of real-world workflows have shown the biggest improvement with Muse Spark 1.1 compared to traditional chat models?