metamodel

Meta: Muse Wonder

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...

text vision multimodal audio reasoning agents long-context

Best for

Image UnderstandingVisual Q&AOCRMultimodal Tasks

Try in Playground Compare →Alternatives →Price history →

Context Window

1049K tokens ≈ 2.3K pages

Input Cost

$4.00/1M

Output Cost

$20.00/1M

Latency p50

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Pricing Details

Standard Pricing

Input (per 1M tokens)

$4.00

Output (per 1M tokens)

$20.00

Run it locally

Local run command

# Refer to provider docs:

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

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Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

Price history is a Pro feature

Track pricing trends and catch price drops early.

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Provider

Usage & Examples

Learn how to use Meta: Muse Wonder

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Meta: Muse Wonder works best.

Community Prompts

Proven prompts shared by the community for this model

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