Meta Launches Muse Ember, Its Smallest Reasoning Model, Targeting Agentic Tasks

November 10 — According to Meta's official announcement, Meta has launched Muse Ember, its smallest and most efficient model to date, aimed at complex reasoning execution and everyday agentic tasks; it can execute workflows across applications, call tools in sequence, run tests and perform targeted code fixes. The model natively supports text, image, audio and video inputs, with a 1 million token context window and a maximum output of 512,000 tokens, priced at $0.1 per million input tokens and $0.5 per million output tokens. It is now available through Muse Code and the Meta Model API.

Meta says Muse Ember scores higher than Claude Haiku 5.5 and GPT-6 Luna on several benchmarks, including Terminal-Bench 4.0 and OSWorld 2.1.