Meta has unveiled a new AI model designed to support developers and businesses using AI agents to automate routine work. Called Muse Ember, the model focuses on handling smaller tasks within larger workflows, including reading files, modifying code, running tests, retrieving information and using external tools.
Meta says Muse Ember can deliver performance comparable to larger AI models at a lower cost. It is available through the company’s developer platforms.
Key features and benchmark performance
Muse Ember supports a context window of 1 million tokens and can generate up to 512,000 output tokens. It accepts text, images, audio and video, allowing developers to analyse lengthy documents, review screenshots and process large codebases without splitting them into smaller requests.
Meta compared the model with Anthropic’s Claude Haiku 5.5 and OpenAI’s GPT-6 Luna. Muse Ember scored 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 and outperforming GPT-6 Luna, which scored 28. Meta also claims that its model offers comparable performance to Claude at around 1/3 of the cost.
In AutomationBench-AA, Muse Ember scored 37.8%, ahead of GPT-6 Luna at 20.2% and Claude Haiku 5.5 at 13.9%. It also recorded 40.9% in Terminal-Bench 4.0, slightly higher than Claude’s 39.2%.
However, Claude performed better in FrontierCode 2.0-AA, scoring 34.9% compared with Muse Ember’s 27.2%.
Muse Ember is the 1st model Meta says it trained using Muse Wonder Full. It also underwent safety evaluations covering cybersecurity threats, harmful instructions and other risks. Meta said it did not cross any of the company’s high-risk thresholds.
Availability and pricing
Developers can access Muse Ember through Meta’s Model API and Muse Code using the model identifier muse-ember-1.0.
Pricing starts at $0.10 (approximately ₹9.36) per million input tokens, $0.50 (approximately ₹47) per million output tokens and $0.004 (approximately ₹0.37) per million cached input tokens.
The model also supports the Responses API and is available through Google Cloud and Oracle Cloud.
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