Context
1.0M tokens (~524 books)
Input $/1M
$0.10
Output $/1M
$0.50
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About
Muse Ember is Meta's smallest and most efficient Muse model, built for high volume agent work · 1,048,576 token context and up to 524,288 output tokens · text, image, audio and video in, text out · model API id muse-ember-1.0 · $0.10 input, $0.50 output and $0.004 cached input per 1M tokens up to 200K input, $0.30, $1.50 and $0.012 above 200K · weights not released.
No benchmark data available yet.
Links
Research
Documentation
Community
BenchGecko API
muse-ember
Specifications
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedNov 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.001
Available On
Learn More
Share & Export
Frequently Asked Questions
Muse Ember is a proprietary multimodal AI model by Meta, released in November 2026. Context window: 1M tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteJais 3 0.9B · MBZUAIGemma 3 12B (free) · Google DeepMindBenchmarks
Key facts · as of 2026-11-10
- Muse Ember by Meta. Not enough public benchmark scores to rank yet.
- List price $0.10 input · $0.50 output per 1M tokens (as of 2026-11-10).
How to cite · data as of 2026-11-10
Muse Ember · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-10. https://benchgecko.ai/model/muse-ember
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP