That's NeuralModel catalog

meta

Meta: Muse Wonder

meta/muse-wonder

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

Specifications

Model ID
meta/muse-wonder
Canonical ID
meta/muse-wonder-20261012
Creator
meta
Added to OpenRouter
12.10.2026
Context length
1,048,576
Modality
text+image+file+audio+video->text
Input modalities
text, image, video, file, audio
Output modalities
text
Token pricing
USD per 1M tokens: in $4 / out $20
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityAA — next 20% of the cohortreasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurementinput: audio
VideoNo measurementinput: video
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Artificial AnalysisIntelligence index43.6AA — next 20% of the cohort13.11.2026
Design Arenaagents · blender3dwin rate 36.1% · rank 81,159EloAA — next 20% of the cohort13.11.2026
Design Arenaagents · htmlslideswin rate 14.1% · rank 71,135EloAA — next 20% of the cohort13.11.2026
Design Arenaagents · pdfwin rate 55.2% · rank 141,205EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · python-pptxslideswin rate 14.2% · rank 291,060EloCC — below the B band13.11.2026
Design Arenaagents · spreadsheetwin rate 49.7% · rank 61,288EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · 3dwin rate 60.6% · rank 41,434EloSS — top 10% of the cohort13.11.2026
Design Arenamodels · codecategorieswin rate 62.6% · rank 11,393EloSS — top 10% of the cohort13.11.2026
Design Arenamodels · datavizwin rate 55.5% · rank 141,290EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · gamedevwin rate 62.1% · rank 21,416EloSS — top 10% of the cohort13.11.2026
Design Arenamodels · uicomponentwin rate 62% · rank 41,368EloSS — top 10% of the cohort13.11.2026
Design Arenamodels · websitewin rate 63.8% · rank 11,379EloSS — top 10% of the cohort13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Google1,048,576$4$20——100%
Meta1,048,576$4$20——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.