Meta Just Dropped Muse Wonder (Better Than Opus 5.5?)

0:00 Meta just dropped a completely new type of AI model and they're saying it's now the best in the world at the one thing everybody actually wants AI to do for them. It's called Muse Wonder and it's

0:10 their largest and most capable model yet. Now, what makes this one different is that it was built specifically to be a personal AI agent like Metam Muse or Grockbot. And there are two things that

0:20 are brand new with this model that really separate it from the other top models out there. And I'm going to break down both of them in this video. I'm also going to break down how it stacks

0:28 up against the top models like Claude Opus 5.5 and GPT6 Astra, what it costs, and who can actually use it today. And if you use Grockbot everyday like I do, there's a reason that this model could

0:39 end up mattering to you, even if you don't use Meta's app. So, I'll cover that near the end of the video. So, without further ado, let's dive right in. All right, so what I'm going to do

0:47 is break down the article that Meta put out and just give you the main points that matter to you and leave a link in the description if you want to read it yourself. Now, first things first, there

0:55 are two models here. We have Meta Muse Wonder and we have Muse Wonder Full. And Meta is calling them their most capable models yet. If you're not familiar with Meta's different AI models, up until

1:06 now, their model was called Muse Spark. And that is what has been running Meta Muse, which is Meta's personal agent app. Now, Muse is Meta's answer to Grockbot and Chatbt Dots. So, those are

1:18 the three biggest personal AI agents right now. I personally use Grockbot every single day and it's by far my favorite AI agent. So, what I really want to know is whether this new model

1:28 is enough to get me to switch over to Muse. Alexander Wang, who leads AI at Meta, said that this is comparable to the rivals of OpenAI and Enthropic. Meta says that they started rebuilding their

1:39 entire AI effort from the ground up 14 months ago. And this is the first model from that rebuild that they're putting right next to the best models from Enthropic and OpenAI. And what Meta says

1:49 it's best at is personal and professional agent. So basically an AI that goes out and does work for you like sorting out an insurance claim, understanding a lease, or building an

1:59 app for your business. They also said it brings that to law, finance, and health, which are areas where a wrong answer can really cost you. Now, moving on to the part that everybody wants to see, and

2:09 that is how it compares to other top models. So here's the table from Meta, and they're comparing both Wonder models against Claude Fable 5.1. Claude Opus 5.5 and GPT6 Astra. And GPT6 Astra is

2:23 the model that chatbt Dots run on. And Opus 5.5 is one of the models that Grockbot can now use. So this is pretty much Meta's new model against the other models behind the other two AI agents.

2:34 The first thing that stands out to me is legal work because on this legal agent test, Wonder Full scored 13.1% while GPT6 Astra got 8.6% and Opus 5.5 got 4.2. Now, those numbers are low

2:48 across the board because the work has to meet every single requirement to count, but Wonder Full is still about three times higher than Opus here. Now, moving on to business workflows, which is

2:58 basically an agent doing a task from start to finish inside of business apps. Wonderful is 45.4% and Opus and Astra are both right around 41%. Which, if you really think about

3:10 this is a pretty big deal because Opus 5.5 is incredibly capable. I've genuinely been blown away at what it can do inside of Claude Code. So, this is pretty interesting. And on really long

3:22 coding projects, Wonder Full got 57.5% and Opus 5.5 got 46.3%. Now, to be fair, it doesn't win on everything. And Meta shows that right inside of the tables from this release

3:35 article. On the test where the model has to build an entire program from scratch, Opus 5.5 got 70.5% and Wonder Full got 59. And both Opus and Fable are still ahead on computer use. And on the

3:49 overall intelligence index from Artificial Analysis, which is an independent company that tests all of these different models, Opus 5.5 is at 58 and Wonderful is at 56. Also, keep in

4:01 mind that this is Meta's table, so every score is at the highest effort setting, and a few of these tests were built by Meta themselves, so I'd wait for a more independent tester before calling a

4:11 winner. But the main thing here is the fact that Meta's model is even on the same table as Opus and Fable, which is a pretty big deal because historically they haven't had the best models when it

4:22 comes to LLMs. Now, moving on to two features that Meta is really pushing with this model. And the first one is called active memory. So, basically, Meta says the model carries the

4:32 important context about you across your different conversations and then it actively pulls up the details that matter for whatever you're working on. So, for example, if you told it your

4:42 budget for a trip a few weeks ago, the idea is that it brings that back up on its own when you ask to find a hotel, so you don't have to repeat yourself. One of the researchers in the launch video

4:52 said that they wanted it to remember what's important to you over days, weeks, months, and beyond, which makes sense because most AIs basically just forget everything you've told it after

5:01 some time. And on Meta's memory test, Muse Wonder scored 85.6% 6% and Opus 5.5 and GPT6 Astra were both right around 81. Again, that test was built by Meta, so take it with a grain of salt, but I

5:14 genuinely think memory is one of the biggest things that actually makes a personal AI agent actually useful. Now, the second big thing here that is different from previous models is called

5:24 active focus. And this is all about what the model does when a task gets really hard. Meta says it keeps working toward your goal by trying a different approach, working through whatever is

5:34 blocking it, and adapting when new information comes in. It also asks you for clarification when it needs it. And Meta says it checks in with you before it takes any important action, which is

5:44 exactly what you want from a model that is acting on your behalf. Now, if you've ever used AI agents before, you probably know that a lot of the time they hit one error and either give up or tell you the

5:54 job is done when it's not. So, this model update is Meta going after that exact problem. Meta also showed a few demos in the article, and I think they give you a good picture of what a

6:03 personal AI agent is supposed to do. In the first one, it plans out a Saturday run by working directly in a browser and across apps. And it builds a plan around the person's own preferences. In another

6:14 one, it designs and orders custom gifts using real photos from someone's Instagram profile. And on the coding side, it built a playable 3D kitchen game from images. Now, these are Meta's

6:24 own demos, so of course they're going to look good. But they show you where this is headed, which is an AI agent that works across your apps and your accounts, but I will be transparent and

6:32 say that you can do things like this inside of Grockbot, Chatbt Dots, and these other AI agents. All right, moving on to price. And there's a catch here that I think most people are going to

6:41 miss. For developers using the API, Muse Wonder is $4 per million input tokens and $20 per million output tokens. That's the exact price as Opus 5.5, and it's a lot cheaper than Fable 5.1, which

6:54 is $10 and $50. It also has a 1 million token context window, and Meta doesn't charge extra for long prompts. Now, here's the catch, and this is for the model called Wonder Full. As of right

7:06 now, it's not available through the API at all. The only way that you can get access to this is through Muse Code, which is Meta's coding tool, and it's only on the $50 a month or the $200 a

7:16 month plan. All right, so who can actually use this today? As of right now, Muse Wonder is live in the meta mobile API and inside of Muse Code and Wonderful is live for Muse Code

7:26 subscribers on those two higher plans. Now, if you're not technical like me and you just want this inside of the Muse app, it's not inside of there yet. Meta says Muse Wonder will soon power

7:36 experiences inside of Muse and it's going to roll out to paying subscribers first, but they didn't give an exact date. So, as of right now, I can't tell you how it compares to Grockbot

7:46 day-to-day because the only way to really know is to use it inside of Muse. Now, the other thing I'm really interested to see is whether this model ends up inside of Grockbot. If you saw

7:55 my video on this last week, Elon said that going forward, SpaceX is going to be using the best model for any given task inside of Grockbot. And that includes other models from companies

8:05 like Enthropic with Claude Opus 5.5. And since this Muse Wonder model is available through Meta's API, it's at least possible for SpaceX to plug this in for different tasks where it scores

8:16 best on things like memory. And to be clear, nobody has announced anything like this, so this is just me thinking out loud. But if it does happen, I'd get Meta's model inside of the AI agent that

8:25 I personally already use every single day without having to switch over to Metam Muse at all, which you might be thinking the same thing. Is it worth it for me to now switch over to Meta or

8:34 should I continue inside of Grockbot? Now, the last thing in the article is safety. Meta says it themselves. A personal AI agent might handle your messages, your calendar, and your

8:43 private documents. So, how it treats that information matters a lot. So, Meta tested this and they published how often each model mishandled personal information. Muse Wonder did it 3.4% of

8:54 the time and Wonder Full did it 2.2% of the time. Now, to be fair, these were the best scores on the chart with GBT6 Astra at 4.6% and Claude Fable 5.1 at 6.8%. and 8%, but 3.4% is still roughly

9:08 one out of every 30 times in the test. So, if you're going to connect any AI agent to your email, I'd keep that in mind no matter which model you're using. Meta also says a full safety report is

9:17 coming soon, so we should get more details on this when it comes out. Anyways, I hope you enjoyed the breakdown. Make sure to subscribe if you enjoyed the video and let me know in the

9:25 comments, are you using Metamuse, Grockbot, or Chatbt Dots? Anyways, thanks for staying to the end, and I'll see you in the next video. Cheers.