Meta released "Muse Ember," its smallest and most efficient AI model, in an official blog post dated Nov. 9. It is aimed at the tool calls, fine-grained coding tasks and long-document reading that AI agents repeat all day. It became available the same day in the coding tool "Muse Code" and the "Meta Model API," with API pricing of $0.10 per million input tokens and $0.50 per million output tokens. The context window is 1 million tokens, and output can be up to 512,000 tokens (512K). Citing Artificial Analysis results, Meta said it delivers more performance per dollar than Anthropic's "Claude Haiku 5.5" and OpenAI's "GPT-6 Luna" at every reasoning setting. However, Haiku 5.5 scored higher on FrontierCode 2.0-AA, which grades real-world development work. CEO Mark Zuckerberg posted on X on Nov. 9 (Nov. 10 Japan time) that Muse Ember and other models will be offered on Google Cloud.
