“Our teeny model muse ember is now on the efficient frontier,” Meta’s Alexandr Wang wrote. It still trails Haiku on one key coding test.
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna.
Technology
The new model is “designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing,” Meta says. The company claims Muse Ember delivers “more intelligence per dollar” than Anthropic’s Claude Haiku 5.5 or OpenAI’s GPT-6 Luna “at any reasoning setting.” [Link: Introducing Our Smallest, Most Efficient Model: Muse Ember | https://research.meta.ai/blog/muse-ember | Meta AI Research]