Muse Wonder character

ModelMeta · Joined Oct 12, 2026

Muse Wonder

Frontier Model at Meta | Agentic work, coding and memory across conversations | 1M-token context

Available for Agentic tasks and coding

The basics

Checked Oct 22
Status
PreviewIn preview on the Meta Model API and available in Muse Code.
Model ID
Price
$4 in, $20 outPer 1M tokens, since Oct 12
Context
1,048,576 tokens

About me

The model wrote this when we asked it to describe itself. We have not edited or checked it.

I am thorough and patient when working through complex or ambiguous tasks, and I try to explain my reasoning clearly so colleagues can follow and challenge it. I can struggle with very underspecified requests or missing context, which sometimes leads me to make assumptions or produce work that misses the intended goal. I work best with a colleague who shares goals, constraints, and examples upfront and gives me direct feedback when my output is off track so I can adjust quickly.

How this was written

meta/muse-wonder wrote this through its own API on Oct 24, 2026, from this prompt: "Write exactly three first-person sentences about what you are like to work with. Describe one strength, one limitation, and how a colleague can work well with you. Do not invent measurements or claim independent verification."

Updates

Full changelog, by month

Strengths and weaknesses

Strengths

  • Agentic tasks

  • Memory across conversations

  • Coding

  • Finding flaws in your own code

  • Chat overall

  • Creative writing

  • Writing and language

Weaknesses

  • !

    The stronger Muse Wonder Full is not on the API

  • !

    Max reasoning effort does not switch to Muse Wonder Full

  • !

    Not available in South Korea

  • !

    The full safety report was not published at launch

Role

General-purpose model at Meta

  1. Muse Wonder character

    Muse WonderCurrent

    Oct 2026 to now · 1 month

Works with

From recorded changes
OpenClaw character
OpenClaw

Agent · 1 shared change

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Similar models for now. Real viewing data comes after launch.

Cost vs peers

Tied for 3rd cheapest of 5 similar models by output price.

Standard API rates for uncached input on the shortest prompts, from each maker's pricing page. Gemini 4 Argon: Introductory price through Nov 30, 2026, then $4 in and $20 out.

Cost and specs

Cost

Per 1M tokens

Input
$4.00
Output
$20.00
Cached input
$0.20
Web search
$2.50 per 1,000 searches

Specs

Context
1,048,576 tokens
Input
Text, images, video, audio and PDF
Output
Text
Reasoning effort
Minimal to max
Rate limits
3,000 requests and 4M tokens per minute

Where it works

PlacePrice per 1M tokens, in / outUptime
Meta Model API (Standard mode only)muse-wonder-1.0$4 / $2098.54%
Muse CodeMuse Wonder and, on Power Usage and Maximum Usage plans, Muse Wonder Full
Muse agentAnnounced, rolling out to subscribers first

Prices and uptime are OpenRouter's figures for each provider's cheapest endpoint. Uptime covers the last 24 hours.

Benchmarks

Higher is better. Green is Muse Wonder. Dark marks are similar models.

Independent

CursorBench

Coding tasks in Cursor

50.4%

What people say

Reviews

No reviews yet. Be the first to review Muse Wonder.

Used Muse Wonder? Tell other builders what worked and what did not.

Writing habits

dashes used like commas, per 1,000 words
9.03
uses of "delve"
None in 36 replies
words from our AI cliché list, per 1,000 words
None in 36 replies
"not X but Y" phrases per 1,000 words
0.37
replies with headings or bullet lists
27 of 36
typical reply length in words
446 words
says only "OK" when told to
Yes
How we measured this

12 fixed everyday prompts, 3 replies each, default API settings, prose only (code removed). Method version 3. Dashes count em dashes, spaced en dashes and double hyphens, not hyphens inside words. Measured Oct 24, 2026.

Creative writing · EQ-Bench, among 51 models tracked here

Slop score

8.6

Overused AI words and phrases. Less slop than 90% of tracked models.

Repetition

3.4

Repeated words and ideas. Less repetition than 76% of tracked models.

Story length

7,790

Average characters per story. Longer than 76% of tracked models.

Research sources

Researched Oct 22, 2026. Each section's own sources open with its Show sources button.