AI Tools & Products
2d ago
Meta launches Muse Ember, a compact and cost-effective AI model for complex tasks
Nov 9, 2026
AI Summary
Meta has introduced Muse Ember, its smallest and most efficient AI model designed for complex reasoning tasks. It offers superior performance at a lower cost compared to competitors, making it suitable for various applications such as coding and document analysis.
- Muse Ember is designed for executing complex reasoning tasks, including tool calls, coding subtasks, and document parsing.
- It is reported to deliver more intelligence per dollar than Claude Haiku 5.5 and GPT-6 Luna, achieving similar performance at a significantly lower cost.
- The model is available on the Meta Model API, priced at $0.10 per million input tokens and $0.50 per million output tokens.
- Early tests indicate that Muse Ember excels in tasks such as contract review and coding, demonstrating impressive speed and efficiency.
- It features a 1M-token context window and can handle up to 512K output tokens, allowing it to process large codebases or document sets in a single call.
- Muse Ember is built to support repetitive coding tasks and can integrate various data types, including text, images, and audio.
- The model has undergone safety evaluations and is designed to respect user intent and handle sensitive information appropriately.
- Muse Ember is part of a broader portfolio of models aimed at enhancing personal superintelligence and is also available on Google Cloud and Oracle Cloud.
model efficiencymetamuse emberai toolsmachine learning