Meta releases Muse Ember, a hosted 1M-context agent model
Original title: Meta Releases Muse Ember, a 1M-Context Model for High-Volume Agent Work
Weights stay private; Meta prices it at $0.10/$0.50 per million tokens and about $0.136 per AA task.
Meta Superintelligence Labs released Muse Ember, a hosted multimodal reasoning model for repetitive agent steps such as tool calls, coding subtasks, routing, extraction and long-document parsing. It accepts text, images, audio and video, offers a 1M-token context window and up to 512K output tokens, and is available only through the Meta Model API and Muse Code. Meta reports a 36 on the Artificial Analysis Intelligence Index, level with Claude Haiku 5.5 at max effort, and a stronger AutomationBench-AA score of 37.8.
Unconfirmed: Benchmark figures are as reported by Meta, including some internal runs.
- Context is 1M tokens, with output up to 512K tokens.
- It is the fourth Muse model, after Spark, Glimmer and Wonder.
- Cached input is listed at $0.004 per million tokens.
- Early testers named include Box, Cline, Oracle, Cloudflare and You.com.
- FrontierCode 2.0-AA is a weak spot at 27.2 versus Haiku’s 34.9.
- Vendors
- Meta
- Products
- Meta Model APIMuse Code
- Organizations
- Meta Superintelligence Labs
- AI models
- Muse Ember
From the original article
8 min read at marktechpost.comMeta Muse Ember is Meta’s smallest model, built for tool calls, coding subtasks and document parsing. It ties Claude Haiku 5. 5 on the Artificial Analysis Intelligence Index at roughly a third of the cost per task.
By Asif Razzaq · marktechpost.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.