Alexandr Wang Announces Muse Ember, the Smallest Model Yet

What happened

Alexandr Wang says Muse Ember is the smallest model they have released. He says it offers nearly Muse Spark 1.3 (max) intelligence at a 17x cheaper price point per AA, and that it is the first model they have released trained using Muse Wonder Full. The post says it is available to try on API and Muse Code.

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Reported by 2 sources

The story so far

Meta released Muse Ember for routine agent tasks, and Alexandr Wang said Crouton Alpha was an early version of the model. Wang said Meta fixed issues before launch and processed more than 5 trillion tokens in testing. Ember handles tasks such as tool calls, small coding jobs, routing, extraction, and long document processing. It supports text, images, audio, and video, with a context window of up to 1 million tokens. Developers can use it through Meta Model API and Muse Code for $0.10 per million input tokens and $0.50 per million output tokens. Artificial Analysis gave Ember (max) a score of 36 on its Intelligence Index at an average cost of $0.14 per task, compared with $0.41 for Claude Haiku 5.5 (max). Its coding results varied: it beat Haiku 5.5 on Terminal-Bench 4.0 but scored lower on FrontierCode 2.0.