Meta releases Muse Ember, a low-cost multimodal AI model for agent workflows

Meta describes Muse Ember as its smallest and most efficient model, designed for complex reasoning execution and agent workflows. It can carry workflows across apps, call tools in sequence, run tests, and make targeted code fixes, with a 1M-token context window and native handling of text, images, audio, and video. Per the Artificial Analysis Intelligence Index, Meta says it matches Claude Haiku 5.5 at roughly one-third the cost per task and scores higher than GPT-6 Luna across all reasoning settings. It is available on the Meta Model API at $0.10 per million input tokens and $0.50 per million output tokens.

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