Meta Releases Muse Ember Model, Supporting 1 Million Token Context

Meta has released the Muse Ember model, designed for complex reasoning execution and repetitive tasks for agents, suitable for tool invocation, coding subtasks, routing, information extraction, and long document parsing. This model supports text, images, audio, and video, capable of handling screenshots, charts, scanned documents, voice memos, meeting recordings, and video content. Muse Ember is now available on Muse Code and the Meta Model API, identified as muse-ember-1.0, supporting the Responses API, with a context window of 1 million tokens and a maximum output of 512,000 tokens per request. 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 respective prices are $0.30, $0.012, and $1.50.

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