Arena 宣布 Meta 的 Muse Ember (Max) 进入 Agent Arena，在 6k 真实智能体会话中以 +1.7% 净改进排名高效模型第一，每任务约 $0.02。
Muse Ember (Max) by @AIatMeta lands in Agent Arena as the most capable and efficient : +1.7% net improvement at about $0.02 per task, roughly 4x less than GPT-6 Luna (Max) and Claude Haiku 5.5, across 6k real-world agentic sessions from our global community.
How it stacks up against other efficient models
- #25 Muse Ember (Max): +1.7% | $0.02/task | 0.5 min/task | 11.6K output tokens
- #26 GPT-6 Luna (Max): +1.6% | $0.09/task | 6 min/task | 41.2K output tokens
- #29 Claude Haiku 5.5 (High): +0.5% | $0.08/task | 1.8 min/task | 24.3K output tokens
Performance is on par across the three, but Ember's median task costs roughly 4x less, finishes about 12x faster than Luna (Max) and 3.5x faster than Haiku 5.5, and uses 72% and 52% fewer output tokens.
Congrats to the @AIatMeta team, @alexandr_wang and @finkd on this impressive release!
在 X 查看被引用的帖子Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.
Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes. With a 1M-token context window and native understanding of text, images, audio and video, it can also work across large document sets and varied inputs.
来源：Arena.ai · x.com