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Meta's Muse Ember small model launch

The gist

Latest: Meta Launches Muse Ember Small Model on API and Google Cloud

Muse Ember enters the small-model tier alongside GPT-6 Luna and Claude Haiku 5.5 at the same input price point. According to Artificial Analysis, it sits on the efficiency frontier, meaning no model scores higher on the intelligence index for a lower cost per task.

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The full picture

Meta released Muse Ember, its smallest and most efficient model in the Muse family, targeting agentic workloads such as tool calls, coding subtasks, routing, extraction, and long document parsing. The model features a 1 million token context window, native multimodal support for text, images, audio, and video, and six reasoning levels. Meta is also making Muse Ember, Muse Wonder, and Muse Spark 1.3 available on Google Cloud. Muse Ember is priced at $0.10 per million input tokens for shorter prompts, with a price-tier threshold at 200k tokens beyond which per-token costs rise.

How it developed
10 November 2026

Meta released Muse Ember on November 9, 2026, its smallest Muse model, built for agentic work such as tool calls, routing, and long document parsing, with a 1 million token context window and native support for text, images, audio, and video.

Meta simultaneously made Muse Ember, Muse Wonder, and Muse Spark 1.3 available on Google Cloud. Priced at $0.10 per million input tokens for shorter prompts, Ember sits alongside GPT-6 Luna and Claude Haiku 5.5. Artificial Analysis found it on the efficiency frontier of their full leaderboard, meaning no model scores higher on their intelligence index at lower cost per task. Simon Willison noted Ember's output quality was comparable to Muse Wonder, which is 40x more expensive.

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