Meta: Muse Ember

Meta: Muse Ember accepts text, image, video, file, and audio input. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, so very long documents and lengthy outputs can fit in a single request. It supports tool calling and reasoning. Structured output support is not listed, so confirm it before relying on schema-constrained responses. At $0.10 per million input tokens and $0.50 per million output tokens, its low per-token price suits high-volume or long-context workloads where cost per call matters. Its blended benchmark score of 56.7 rests on a single independent benchmark, an AI Index score of 59.4, so its standing is only lightly evidenced. Shortlist it for cost-sensitive work that mixes media types or needs very long inputs, but test it on your own tasks before committing.