Meta launched Muse Ember, its smallest and most efficient reasoning model to date, designed for complex agentic tasks including cross-application workflows, sequential tool calling, test execution, and targeted code fixes. The model natively supports text, image, audio, and video inputs with a 1 million token context window and up to 512,000 tokens of output. Priced at $0.1 per million input tokens and $0.5 per million output tokens, Muse Ember is now available through Muse Code and the Meta Model API. Meta claims the model outperforms Claude Haiku 5.5 and GPT-6 Luna on several benchmarks, including Terminal-Bench 4.0 and OSWorld 2.1.