Muse Image
by MetaImage generation
Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...
- Context
- 65.5K tokens
- Max output
- 58,982 tokens
- Released
- 2026-08-26
- Weights
- unknown
meta/muse-image
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2026-08-26
- Weights
- unknown
- Input
- Text, Image
- Output
- Image
- Context window
- 65,536 max across endpoints
- Max output
- 58,982
- Providers
- 0 + 1 gateway, not counted as providers
- Epoch Capabilities Index
- not evaluated
- Direct price range
- no comparable direct price
More details
- Last updated
- —
- Knowledge cutoff
- Developer country
- United States of America
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool callingunknown
- Parallel toolsunknown
- Structured outputunknown
- Reasoningunknown
- Image inputunknown
- PDF inputunknown
- Audio inputunknown
- Audio outputunknown
- Video inputunknown
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperatureunknown
- Streamingunknown
- Attachmentsunknown
Endpoints
One row per provider and variant; gateways are listed separately.
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Cost calculator
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More from Meta
Newest Meta models in the catalogue. All Meta models
| Model | Released | Context | Listed price |
|---|---|---|---|
| Muse Spark Open | 2026-10-15 | 1.05M | from $1.25 /1M tok |
| Muse Wonder | 2026-10-12 | 1.05M | from $4.00 /1M tok |
| Muse Wonder | 2026-10-12 | 1.05M | from $4.00 /1M tok |
| Muse Voice Transcribe 1.0 | 2026-09-11 | — | unpriced |
| Muse Spark 1.3 | 2026-09-02 | 1.05M | from $1.25 /1M tok |
| Muse Spark 1.3 Contributor | 2026-09-02 | 1.05M | from $0.10 /1M tok |
| Muse Image 1.0 | 2026-08-26 | — | unpriced |
| Muse Glimmer 30B | 2026-08-10 | 131K | from $0.20 /1M tok |
Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model