ChainCatcher report: Meta has released the Muse Ember model, positioning it as a small model designed for complex reasoning and agent-based repetitive tasks, suitable for tool invocation, coding subtasks, routing, information extraction, and long-document parsing. The model natively supports text, images, audio, and video, and can process screenshots, charts, scanned documents, voice memos, meeting recordings, and video content. Muse Ember is now available on Muse Code and the Meta Model API under the model identifier muse-ember-1.0, with support for the Responses API, a context window of 1 million tokens, and a maximum output of 512,000 tokens per request. Pricing for prompts up to 200,000 tokens is $0.10 per million input tokens, $0.004 per million cached inputs, and $0.50 per million output tokens; for longer prompts, the respective prices are $0.30, $0.012, and $1.50.
Meta Launches Muse Ember with 1 Million Token Context Support
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Summary
Meta has launched Muse Ember, a new token launch announcement supporting 1 million tokens for complex reasoning and agent tasks. The model handles text, image, audio, and video inputs, with outputs of up to 512,000 tokens per request. Available via Muse Code and the Meta Model API, pricing is based on token length, including costs for input, cached input, and output for prompts up to 200,000 tokens and beyond. This release adds to the growing list of new token offerings in the AI space.
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