Mark Zuckerberg

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

@daveman692 You're not crazy :)

A good day.

@playrob We'll start rolling it out next week.

@mikebrophy I agree.

Yes, this is the real Mark Zuckerberg. Thanks for following me!

So many interesting people are following me. I think I'll follow some of you guys as well.

I find it funny that it's on Digg that I'm here. I'm looking forward to when people can have unlimited connections on Facebook soon!

Excited about rolling out the new real-time stream home page to all FB. To everyone who has written in asking for it, you'll have it soon!

Also just created a public page on FB: www.facebook.com/markzuckerberg

@jhyuxm 🙏

Muse Spark 1.1 is here! Available today via API and on meta.ai. Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more: ai.meta.com/blog/introduci…

Meta made a “minor” release to Muse Spark, there’s nothing minor about it. Lots to parse here: - This model is so fucking cheap I almost don’t believe it. In practice we see it’s 1/10 the cost of both Fable and GPT 5.5. If you thought OS models would compete away margins, just wait till you see this. It’s somehow cheaper to use MS 1.1 than host your own OS model… - Coding improvements are significant. This was a real shortcoming in 1.0. But 1.1 sees a ~50% improvement in VibeCodeBench and ~10% improvement in SWE Bench. Not quite SOTA, but at this cost/latency it is still incredibly compelling. - Speaking of latency, wow this model is fast. Across our benchmarks, we find it to be 1/4 the latency of Opus 4.8 and 1/2 the latency of GPT 5.5. I would expect Meta to have incredible web infra, but really don’t know what witchcraft they’re pulling to host the model for such fast inference at high rate limits. - There is a public API. This is the first time Meta has released a model through a hosted API. I’m expecting lots of AI natives to hot-swap and rapidly test this model as a replacement. We’ll soon see if it's performant enough for those production uses. - Speaking of AI natives, it’s been a wild week for Harvey’s legal benchmark. Grok 4.5 held the SOTA position for ~24 hours at 12% before MS 1.1 unseated it with a big jump up to ~20%. I suspect many internal evals will see surprising results like this. Glad to collab with @harvey @gabepereyra @nikogrupen @ItsJulioPereyra on this eval. - Intelligence is more jagged than ever, even within individual domains like legal and coding. Every application and user benefits from staying dynamic. There an edge in picking the right model/system for each task.

@ren_hongyu 💪

Excited to share what we’ve been building at Meta Superintelligence Labs! Today we’re launching Muse Spark 1.1, our strongest model yet for complex agentic workflows — delivering massive gains in agents, computer use, coding, multimodal reasoning, and multi-agent orchestration. This is also our first API release! We’d love to hear your feedback. And we’re just getting started, super proud of the team behind it, and the larger models are training right now. 🚀 ai.meta.com/blog/introduci…

@utkusen @alexandr_wang Got you! dev.meta.ai

@alexandr_wang I just can't find how to use this model. The blog says "developers can begin building with Muse Spark 1.1 via the new Meta Model API" Where is that Meta Model API? I google it. Nothing comes up. There should be a link in the article.

Muse Spark 1.1 is SOTA on Harvey's Legal Bench, TaxEval, and MedScribe. It's cool to see that our model outperforms even Fable in a few areas :)

Meta just released Muse Spark 1.1 and is the new SOTA on MedScribe and TaxEval, taking the top spot from Fable 5 while being 10x cheaper and twice as fast. Meta currently holds the top 2 spots on TaxEval It is also the new #1 on Harvey's Legal Agent Bench, dethroning Grok 4.5 less than 24 hours after it took the top spot.

Muse Spark 1.1 is ranked #4 on the Vals Index, ahead of GPT-5.5 and Grok 4.5

(3) The Meta Model API allows developers to build using Muse Spark for the first time. Our focus is on delivering strong agentic and multimodal models at very low cost. More to come soon.

(2) Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

Tell your congressmen you want them to be pro-internet. My Facebook post is here: facebook.com/zuck/posts/101…