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Meta has released Muse Ember, the smallest model in its Muse family, aimed at high-volume agent work such as tool calls, extraction and routing. It offers a 1M-token context and 512K output tokens, priced from $0.10 per million input tokens, and is available through Meta's API and Google and Oracle clouds.
Meta has rolled out specialised versions of its models, trained with Muse Wonder, to every user of its Muse agent and Meta AI assistant. The company claims a 2.4-fold reduction in forgetting critical information and a 67 per cent improvement in completing everyday tasks that hit obstacles, with correct use of context rising from 76 to 90 per cent on its internal evaluation.
Meta Superintelligence Labs has released Muse Wonder and Muse Wonder Full, proprietary multimodal models with a one-million-token context and new Active Memory and Active Focus features for long-running agents. Wonder is on Meta's API at $4 per million input tokens; Wonder Full is restricted to Muse Code subscribers.
