Introducing Our Smallest, Most Efficient Model: Muse Ember
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens for shorter prompts, while sitting on the Artificial Analysis efficiency frontier: no model scores higher for less per task. For production agents, it is a serious default candidate for high-volume tool calls, routing, extraction, coding subtasks, and long-document parsing, but you should benchmark at your actual reasoning level because token price alone will not predict total task cost.
Muse Ember, a new model from Meta AI, achieves the same performance as other top models like GPT-6 Luna and Claude Haiku at a comparable price point of $0.10-$0.50 per million tokens, but sits on the efficiency frontier, meaning no other model scores higher for less cost per task, enabling more cost-effective deployment of complex reasoning and agent tasks in production environments.