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Introducing Our Smallest, Most Efficient Model: Muse Ember

The Brief · written from 3 sources

Meta released Muse Ember on November 9, 2026, describing it as its smallest and most efficient AI model.
Pricing is $0.10 per million input tokens and $0.50 per million output tokens, with a 1-million-token context window.
Meta positions Muse Ember in the same category as Claude Haiku and GPT Luna, aimed at complex reasoning execution and work agents repeat.

Why it matters

A small, cheap model with a 1-million-token context window could lower the cost of running repeated agent steps, making it a candidate to compare against other small models on price and capability.

Who’s affected

Developers building AI agents with cost-sensitive, repeated model calls

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Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat…

Read the full story at simonwillison.net ↗