Muse Wonder is Meta's new frontier model series, announced 13 October 2026 (NZ), with two models: Muse Wonder and Muse Wonder Full. Meta says they are built for personal and professional agent tasks, with Active Memory and Active Focus. Meta says Muse Wonder is available today through the Meta Model API and Muse Code, and Muse Wonder Full is available today for Muse Code subscribers.

Meta Muse Wonder for vibe coding (and where to host the app)

Q: Is Muse Wonder the best model for vibe coding?

It depends which bench you care about. On Meta's reported table, Muse Wonder Full leads DeepSWE 1.1 (79.0) and SWE-Marathon (57.5, xhigh) among the models shown, and is strong on agent and business-workflow benches. Claude Opus 5.5 still leads Terminal-Bench 4.0-AA (59.6), ProgramBench (70.5), and the overall Artificial Analysis Index (58). Rankings shift, and those figures are Meta's reported results, not an independent leaderboard.

Q: Can I connect Muse Wonder to Croft?

Croft is an MCP server, so it works with any MCP-capable assistant. Meta's announcement lists the Meta Model API and Muse Code as the ways to use Muse Wonder; it does not describe a Croft integration. Use the MCP client you already work in, then deploy the app to Croft.

Q: Where should a team host an app built with Muse Wonder?

On a private server the team can open, not in a chat preview. Croft gives you company login, a database, schedules, monitoring, backups, and rollback. Whichever model writes the app, that is where the team runs it.

Quick answer

Meta announced Muse Wonder today: two models, Muse Wonder and Muse Wonder Full, aimed at personal and professional agents. On Meta’s reported table (max settings), Muse Wonder Full leads several long-horizon coding and agent-workflow benches — DeepSWE 1.1 at 79.0, SWE-Marathon at 57.5 (xhigh), AutomationBench-AA at 45.4. Claude Opus 5.5 still leads Terminal-Bench 4.0-AA (59.6), ProgramBench (70.5), and the overall Artificial Analysis Index (58).

Those figures are Meta’s reported results, not an independent league table. For teams and developers vibe coding an app, the practical split is: pick the model that fits the job; then put the app somewhere private the team can actually run.

What Meta announced

From Meta’s Muse Wonder research post:

Two models: Muse Wonder and Muse Wonder Full
Active Memory (carry relevant context across conversations) and Active Focus (keep working a hard goal, try other approaches, check in before important actions)
Domain work Meta highlights: law, finance, and health, plus frontier coding
Muse Wonder is available today through the Meta Model API and Muse Code
Muse Wonder Full is available today for Muse Code subscribers
Meta says Muse Wonder will soon power experiences in Muse, rolling out first to subscribers, and will power artifact generation

Meta did not publish pricing, a general consumer rollout date, or a Vibe Code Bench score in that post.

What Meta’s numbers mean for vibe coding

Vibe coding is describing an app and steering until it works. Long-horizon coding benches are a useful proxy for that: the model has to keep requirements in mind, change a codebase, test, and recover. Agent and workflow benches matter if the app has to do a job, not just render a screen.

On Meta’s comparison table (Muse Wonder Full max, Muse Wonder max, Claude Fable 5.1 max, GPT-6 Astra max, Claude Opus 5.5 max):

Where Meta reports Muse Wonder Full ahead

DeepSWE 1.1 (long-horizon coding): 79.0 vs Opus 5.5 at 74.2, Astra at 74.1, Fable 5.1 at 67.4. Muse Wonder (the smaller of the two) is 78.8.
SWE-Marathon (ultra-long-horizon engineering): 57.5 (xhigh) vs Opus 5.5 at 46.3. Muse Wonder is 53.1.
AutomationBench-AA (end-to-end business workflows): 45.4 vs Astra 41.6 and Opus 5.5 at 41.2.
Harvey LAB-AA (legal agent work): 13.1 vs Opus 5.5 at 4.2.
MemoryBench (remembering context): Muse Wonder 85.6, Muse Wonder Full 85.5, vs Opus 5.5 at 81.5.

Where Meta’s table still has Claude Opus 5.5 ahead

Terminal-Bench 4.0-AA (agentic terminal coding): 59.6 vs Muse Wonder Full at 57.1. GPT-6 Astra is 59.1.
ProgramBench (from-scratch programming): 70.5 vs Muse Wonder Full at 59.0 — a wide gap on this bench.
Artificial Analysis Index (overall): 58 vs Muse Wonder Full at 56.
HealthBench Pro: 65.6 (Astra 65.3) vs Muse Wonder Full at 62.3.
OSWorld V2.1 (partial): 81.8 vs Muse Wonder Full at 78.4.

A compact slice of the coding and overall scores Meta reported:

Benchmark	Muse Wonder Full	Claude Opus 5.5	Lead on Meta’s table
DeepSWE 1.1	79.0	74.2	Muse Wonder Full
SWE-Marathon	57.5	46.3	Muse Wonder Full
AutomationBench-AA	45.4	41.2	Muse Wonder Full
Terminal-Bench 4.0-AA	57.1	59.6	Claude Opus 5.5
ProgramBench	59.0	70.5	Claude Opus 5.5
Artificial Analysis Index	56	58	Claude Opus 5.5

Honest read for a team building apps with AI: Muse Wonder looks strong when the work runs long — multi-step coding, business workflows, keeping context. Opus 5.5 still wins some of the coding suites that look more like from-scratch programs and terminal agents, and it leads Meta’s overall index. GPT-6 Astra and Claude Fable 5.1 sit in the mix on the same table.

Treat this as Meta’s snapshot on launch day. Public app-building leaderboards (see best models for vibe coding) measure something different, and they move.

After you build, you still need a host

Whichever model writes the app — Muse Wonder, Claude, GPT, Cursor, Grok — a chat preview is not a place your team can work. You still need:

A private server that stays up
Company login, so only your people get in
A database everyone shares
Schedules for jobs that should run without someone clicking
Monitoring, so a bad deploy is visible
Backups and rollback when a prompt breaks something

That is hosting. It is also where most vibe-coded prototypes die.

Croft is the place the team runs it

Croft does not sell models and does not pick a vendor. Croft is an MCP server, so it works with any MCP-capable assistant. Meta’s post does not describe a Muse-specific Croft integration; use the client you already have.

The loop is the same:

Describe the app in your assistant (or in Ask Croft in the browser).
Deploy to your croft.
Invite the team. They sign in once.

You get a live URL on your own private server, behind one company login, with a database, schedules, and monitoring included. Connect setup: Claude, ChatGPT, Cursor, Grok, or any MCP client.

Best models for vibe coding — public benches, assistants, and how to choose
Vibe coding hosting — where the app lives after the chat window
AI app hosting — private hosting for apps you build with AI
Connect your AI assistant — MCP setup
Google Gemini 4 Argon for vibe coding — the last frontier-model drop, same hosting gap

FAQ

What is Muse Wonder?

Meta’s new frontier series, launched 13 October 2026 (NZ): Muse Wonder and Muse Wonder Full. Meta says they target personal and professional agent work, with Active Memory and Active Focus. Availability in Meta’s post: Meta Model API and Muse Code today; Full for Muse Code subscribers; Muse product rollout coming, subscribers first.

Is Muse Wonder the best model for vibe coding?

On Meta’s table it is the one to watch for long-horizon coding and agent/business workflows. Opus 5.5 still leads Terminal-Bench, ProgramBench, and the Artificial Analysis Index. Use the model that matches the job; rankings will move.

Can I connect Muse Wonder to Croft?

Croft works with any MCP-capable assistant. Meta did not publish a Croft (or MCP) setup in the announcement. Point your MCP client at Croft, build, deploy.

Where should a team host an app built with Muse Wonder?

On a private host with company login and a database. That is Croft. Public preview URLs are for demos, not internal tools.

How much does Croft cost?

Solo from $24/month on annual billing, Team $99/month on annual. 7-day free trial, no card to start. Pricing →

Where to learn more

Meta research post: Muse Wonder
Croft: Get your croft — 7-day free trial, Solo from $24/mo annual