- Who
- Meta
- What
- released the Muse Ember AI model
- Quote
Meta has introduced Muse Ember, its smallest and most efficient AI model to date.
What happened
Meta has introduced Muse Ember, its smallest and most efficient AI model to date, for routine agent tasks such as tool calls, small coding tasks, request routing, data extraction, and long document processing. It handles text, images, audio, and video, with a context window of up to one million tokens. Meta says it is available through the Meta Model API and Muse Code, priced at $0.10 per million input tokens and $0.50 per million output tokens.
Why it matters
The article compares Muse Ember's cost and benchmark results with other models, including a coding test where Haiku scores higher, giving readers a concrete view of its tradeoffs for routine agent tasks.
Read next
See the full storyMeta Releases Muse Ember and Says Crouton Alpha Was an Early VersionReported by 3 sources
The story so far
Meta released Muse Ember for routine agent tasks, and Alexandr Wang said Crouton Alpha was an early version of the model. Wang said Meta fixed issues before launch and processed more than 5 trillion tokens in testing. Ember handles tasks such as tool calls, small coding jobs, routing, extraction, and long document processing. It supports text, images, audio, and video, with a context window of up to 1 million tokens. Developers can use it through Meta Model API and Muse Code for $0.10 per million input tokens and $0.50 per million output tokens. Artificial Analysis gave Ember (max) a score of 36 on its Intelligence Index at an average cost of $0.14 per task, compared with $0.41 for Claude Haiku 5.5 (max). Its coding results varied: it beat Haiku 5.5 on Terminal-Bench 4.0 but scored lower on FrontierCode 2.0.
How the story developed · 2
View full event- 11/10 04:36 (UTC+8)
Meta Launches Muse Ember, a Small Model for Routine Agent Tasks This report
- 11/10 03:47 (UTC+8)Meta Releases Muse Ember, Its Smallest Model, With Benchmark Cost ComparisonsBaoyu