Meta releases Muse Ember, a new lightweight model for agent execution
Meta Superintelligence Lab released a new AI model on Monday called Muse Ember, the lab’s lightest and most cost-efficient AI model yet. In its release, Meta said Ember was “designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing,…
Annons
Annons
Meta Superintelligence Lab released a new AI model on Monday called Muse Ember, the lab’s lightest and most cost-efficient AI model yet. In its release, Meta said Ember was “designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing.” Meta particularly emphasized Ember’s cost-per-task, using Artificial Analysis’s composite benchmark score to show Ember as cheaper and smarter than competitors like Anthropic’s Haiku and OpenAI’s Luna. Image Credits:Meta Superintelligence Labs At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna. Not only that, it’s cost-competitive with open source competitors like DeepSeek V4.1 Flash and GLM 5.3 Flash. Given the emphasis on low cost and accuracy at scale, Ember is designed to pair with a larger model like Meta’s Muse Wonder in an agentic harness. In the case of a customer-support agent, for instance, you might see a heavier model establishing rules for how to handle a particular issue, then sending a lighter-weight model to apply the rules across tens of thousands of cases. As Meta puts it in the announcement, “Muse Wonder plans, Muse Ember handles the volume.” With volume-heavy use cases in mind, Meta also trained Ember to work well across different types of media, including text, images, and audio. The result makes the model surprisingly flexible in what kind of inputs it can handle. As Meta puts it in the announcement, “agents can read screenshots, charts, and scanned documents, or work from voice memos, meeting recordings, and video without a separate model.” Ember is the fourth model released under Meta’s Muse brand, following the mid-weight Spark (released in April), Spark’s open source twin Glimmer (released in August), and the Wonder frontier model (released in October). The flagship consumer AI product, the Muse Agent, was released in September to unexpected success, with new features like Spaces and video chat rolling out earlier this month. Topics AI, Meta, meta superintelligence lab, muse, TC When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence. Russell Brandom AI Editor Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at [email protected] or on Signal at 412-401-5489. View Bio 2027 San Francisco Get an Early Peek at the Next TechCrunch DisruptDisrupt, Startup Battlefield, and more will return next year, and you can be at the front of the line.Sign up for our waitlist Register Now Most Popular Musk says Tesla will refund some Cybertruck deposits, defends decision to end production Kirsten Korosec Tesla will stop making the Cybertruck in 2027 Sean O'Kane Claude can now analyze your spending with its new Personal Finance tool Aisha Malik Harbinger raises $240M after expanding into defense Sean O'Kane Almost no one uses AI agents to book their Uber, company says Sarah Perez Meta acquires AI coding startup Conductor Lucas Ropek Data centers are turning to old jet engines as the wait for power grows Aditya Mehta