Meta Launches Efficient AI Model Muse Ember, Focused on Low-Cost Agent Tasks
Meta launched Muse Ember, a lightweight AI model for complex reasoning and agent tasks, featuring a 1-million-token context window and multimodal processing. It can call tools, execute cross-app workflows, and auto-fix code. Meta claims its performance matches Claude Haiku 5.5 at one-third the cost and surpasses GPT-6 Luna in multiple tests. It is now available via the Meta Model API, with input/output pricing at $0.10 and $0.50 per million tokens, respectively.
Meta Launches Efficient AI Model Muse Ember, Focused on Low-Cost Agent Tasks
Meta has released Muse Ember, a lightweight AI model designed for complex reasoning and agent tasks. It supports a 1-million-token context window and can process text, images, audio, and video. The model is also capable of calling tools, executing cross-application workflows, and automatically fixing code.
According to Meta, the model's performance on the Artificial Analysis Agent Leaderboard is comparable to Claude Haiku 5.5, but its cost per task is only one-third of that. It also outperforms GPT-6 Luna in multiple tests. Muse Ember is now available through the Meta Model API, with input and output pricing at $0.10 and $0.50 per million tokens, respectively.
Source: https://research.meta.ai/blog/muse-ember
