Meta released the small model Muse Ember, supporting 1 million tokens of context

Meta released the model Muse Ember, positioning it as a small model aimed at complex reasoning execution and repetitive tasks for agents, suitable for tool invocation, coding sub-tasks, routing, information extraction, and long document parsing. This model natively supports text, images, audio, and video, capable of handling screenshots, charts, scanned documents, voice memos, meeting recordings, and video content.

Muse Ember has been launched on Muse Code and Meta Model API, with the model identifier muse-ember-1.0, supporting the Responses API, a context window of 1 million tokens, and a maximum output of 512,000 tokens in a single instance. The pricing for prompts within 200,000 tokens is $0.10 per million input tokens, $0.004 for cached input, and $0.50 for output; for longer prompts, the corresponding prices are $0.30, $0.012, and $1.50 respectively.