Is Meta's Muse Wonder Better Than Claude? (Explained)

Author: Hyperautomation Labs · Watch on YouTube

Video authored by the channel shown, not by IANIA; all rights belong to the creator. Transcript and summary generated automatically; the original-language content is preserved.

Original language: English

Original video: Is Meta’s Muse Wonder Better Than Claude? (Explained) · Channel: Hyperautomation Labs · 06:10 · Watch on YouTube

Topics: AI agents, AI evaluation and benchmarks, AI developer tools, AI models, Privacy and data protection

Summary

The video examines Meta’s Muse Wonder and full-size Muse Wonderful, comparing Meta’s claims with its benchmarks and demos. The full model leads Claude on some legal, long-coding, and task-completion tests, but Claude scores higher on several other benchmarks, including the overall index and general knowledge. The presenter notes that most winning results belong to the full model, which is only available through certain Muse Code plans, while the API-accessible Wonder scores lower. The video also explains pricing, how to try Muse, and the default setting that lets Meta train on users’ prompts and code.

Key points

Meta offers two models: the faster Muse Wonder and the larger Muse Wonderful, referred to in the video as the full model.
Meta says the models use active memory to retain relevant details across chats and active focus to persist through difficult tasks and check before important actions.
Meta’s demos show tasks including scheduling a run, disputing a medical bill, designing and ordering a cat shirt, planning wedding seating, responding to dizziness while traveling, and building a 3D game.
On the cited tests, the full model beats Claude Opus 5.5 on legal work, long coding projects, and Automation Bench.
Claude Opus leads on building programs from scratch, terminal work, computer use, health questions, and the overall index; it also scores higher on general knowledge.
The video says some of Meta’s strongest results come from tests Meta created itself, and recommends checking Wonder’s facts.
Most of the cited winning scores belong to the full model, which is available only in Muse Code on the $50 or $200 plan, not through Meta’s API.
Muse Wonder is available through Muse Code plans starting at $5 per month; the video says the full model is unlocked on the $50 plan.
Contributor mode is on by default on these plans, allowing Meta to train on prompts and code; users working on private material are advised to turn it off.

Chapters

Start	Chapter	Summary
00:00	Meta’s claim and the two Muse models	The presenter introduces Meta’s claim that its new AI beats Claude and explains the distinction between Muse Wonder and the full Muse Wonderful.
01:00	Active memory, active focus, and product demos	The video explains the models’ stated capabilities and walks through six demonstrations of planning, communication, shopping, health guidance, and game creation.
03:04	Benchmark wins and limitations	The full model beats Claude on selected tests, while Claude leads on several other benchmarks and general knowledge.
04:37	Access, pricing, and privacy settings	The presenter distinguishes the full model from API-accessible Wonder, outlines Muse Code plan pricing, and warns that contributor mode is enabled by default.
05:40	Verdict: when to choose Muse or Claude	The video recommends the full model for some multi-step work but says Claude remains ahead for software creation, terminal tasks, and plain facts.

Quotes

So, which is it? — 00:00

We call this active memory. — 01:00

That’s the beats Claude headline. It’s real. — 03:34

For building software from scratch, terminal work, and plain facts, Claude is still ahead. — 05:40

Concepts and entities

Muse Wonder, Muse Wonderful, Meta, Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, Muse Code, Prometheus, Harvey, Sweep Marathon, Deep Sweep, AutomationBench

Full transcript (original language)

00:00 This morning, Meta said its new AI beats Claude and ChatGPT. Mark Zuckerberg’s post got 30,000 likes in a few hours, and Meta’s stock jumped 4%. But open Meta’s own chart, and Claude is still at the top. So, which is it? I read the model card, every chart, and watched all six demos. In the next few minutes, you’ll see what Muse Wander can actually do, where it wins, where it doesn’t, and the $5 way to try it today.

00:30 First, there are two models. Muse Wander is the fast one. The big one is Muse Wonderful, as in the full-size model. I’ll just call it full. Remember that, cuz it matters a lot later. Both were trained at Meta’s new gigawatt data center called Prometheus. Meta says 14 months ago, it tore up its AI work and started again from the ground up. This is the result. TechCrunch called it Meta’s first frontier model. And look how fast it climbed. Muse Spark scored 31 on the independent artificial

01:00 analysis index. Then, 34, 40, 48. Now, Wonder is at 52, and full is at 56. Meta built it around two ideas. Here’s the first from one of the researchers who built it. >> It remembers what’s important to you over days, [music] weeks, months, and beyond. We call this active memory. >> [music] >> It remembers >> So, it carries what matters about you from one chat to the next, and pulls up the right detail when it’s needed. You don’t repeat yourself. The second is active focus. >> Active focus gives our model a

01:31 tremendous amount of perseverance. It’s been trained [music] to not give up, and >> So, when it hits a wall, it tries another way. And before it does something important, like paying for something or sending an email, it checks with you first. Here’s what that looks like. These are Meta’s own demos. A quick note first, Meta says the clips are shortened, so this isn’t real time. One, the Saturday run. It reads your calendar and your health app and notices your habits. Your long run grows 1 km a week. You stay on

02:02 flat routes to protect your knee. You’re at the library by 10. So, it plans a flat 15 km run starting at 8, maps it, and puts it on your calendar. Two, a disputed medical bill. You send a photo of the bill and your insurance card. It finds the billing error, writes you a call script, and when you’d rather do it in writing, it sends the email. Three, a birthday shirt for a cat named Coco. It browses Coco’s Instagram, picks a photo, designs a vintage band tee, and orders

02:33 it. Four, a wedding. 47 guests with allergies, wheelchair access, and people who must not sit together. It turns every note into a rule and seats everyone. Five, you’re traveling and feel dizzy. It connects the dots to your flight to Cusco at 3,400 m. Before it reads your health data, it asks permission. And it tells you to get care today. And six, it built this playable 3D kitchen game from a few pictures. Now, the scores. Here’s where the full

03:04 model really does beat Claude Opus 5.5 and GPT-6 Astra. Legal work. On Harvey’s legal agent test, it scored 13.1. Opus scored 4.2. These are low because a task only counts if every single requirement is met, but it’s more than triple. Long coding projects. On Sweep Marathon, 57 and a half against 46. On Deep Sweep, 79 against 74. And getting real tasks done. On Automation Bench, 45 against 41.

03:34 That’s the beats Claude headline. It’s real. But look at the rest of Meta’s own table. Claude Opus wins on building programs from scratch, 70 and a half to 59. That’s the biggest gap on the whole page. It also wins on terminal work, using a computer, health questions, and the overall index. And there’s one model Meta’s chart left out. Claude Sonnet 5.5, the cheaper Claude, scores 56. That’s a tie with the full model. Two more things to know. Some of Meta’s best

04:04 scores come from tests Meta built itself. And Wonda still struggles with general knowledge. On that test, it scored 30, while Opus scored 46. So, check its facts. Real quick, I put the full scoreboard, the plan picker, and 10 prompts that test what Wonda does best into one free field guide. Comment the word “Wonda” and I’ll send it to you. Real talk, 90% of you watching haven’t subscribed. On Facebook, subscribe is the supporter button. That is what keeps the lights on here. On YouTube, it’s free, and it

04:37 tells the algorithm to send you more. Subscribe to support us. Remember the two models? Here’s why it matters. Almost every winning score you just saw belongs to the full model. And full is not on Meta’s API. You can only use it inside Muse code, Meta’s coding tool, on the 50 or $200 plan. The model developers can call is plain Muse Wonda. It scores 52, below Claude, GPT, and Gemini on that index. And it costs $4 in and $20 out per million tokens. That’s

05:09 exactly what Claude Opus costs. To be fair, it uses fewer tokens per task. A full test run on Wonda costs $4.52 against about $6 on Opus. So, here’s how to try it today. Muse code plans start at $5 a month, and every plan includes Muse Wonda. 15 gets you five times more use. 50 unlocks the full model. 200 is the maximum. Install it with one line from Meta’s site. It works on Mac and Windows. One thing nobody’s telling you. On these plans,

05:40 contributor mode is on by default. That means Meta trains on your prompts and your code in exchange for more usage. If you’re working on anything private, switch it off in Muse Code settings before your first prompt. So, is it better than Claude? For long, multi-step jobs, legal and finance work, and running errands across your apps, the full model is now one of the best in the world. If that’s your work, the $50 plan is worth a test. For building software from scratch, terminal work,

06:10 and plain facts, Claude is still ahead. And if you just want to see what Meta has built, $5 gets you in. Just turn off contributor mode first. Comment the word wonder and I’ll send you the field guide. If you want the full Claude Code Playbook, my paid guides are linked below. Follow along on Instagram and Facebook for bite-size AI and the deep dive playbooks live here on YouTube. Subscribe so you don’t miss one. See you in the next one.