# Meta releases Muse Ember, lightweight AI model for agents

> Meta Superintelligence Lab launches Muse Ember, a cost-efficient AI model designed to handle repetitive agent tasks at ten cents per million input tokens.
- Title: Meta releases Muse Ember, lightweight AI model for agents
- Summary: Meta Superintelligence Lab launches Muse Ember, a cost-efficient AI model designed to handle repetitive agent tasks at ten cents per million input tokens.
- Keywords: meta, muse ember, ai model, meta superintelligence lab, agent execution, cost-efficient, TechCrunch
- Source: TechCrunch — https://techcrunch.com/2026/11/09/meta-releases-muse-ember-a-new-lightweight-model-for-agent-execution
- Author: Russell Brandom
- Published: 2026-11-09T18:00:00+00:00
- Read time: 1 min
- Topics: meta, muse ember, ai model, meta superintelligence lab, agent execution, cost-efficient, technology, startups
## Meta launches Muse Ember
Meta Superintelligence Lab released Muse Ember on Monday, a lightweight AI model designed for complex reasoning execution and repetitive agent work including tool calls, coding subtasks, routing, extraction, and long document parsing.

> designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing
## Ember costs ten cents per million tokens
At ten cents per million input tokens, Ember is significantly cheaper than frontier competitors like Anthropic's Haiku and OpenAI's Luna, and cost-competitive with open-source competitors like DeepSeek V4.1 Flash and GLM 5.3 Flash.

> At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors
## Designed to pair with larger models
Ember is designed to pair with Meta's larger Muse Wonder model in an agentic harness. A heavier model establishes rules, then Muse Ember applies those rules across tens of thousands of cases.

> Muse Wonder plans, Muse Ember handles the volume
## Handles text, images and audio
Meta trained Ember to work across different types of media including text, images, and audio.Agents can read screenshots, charts, and scanned documents, or work from voice memos, meeting recordings, and video without a separate model.

> agents can read screenshots, charts, and scanned documents, or work from voice memos, meeting recordings, and video without a separate model
## Fourth model in Muse lineup
Ember is the fourth model released under Meta's Muse brand, following Spark in April, open-source Glimmer in August, and Wonder in October.
## Key takeaway

Meta released Muse Ember on Monday, a lightweight AI model priced at ten cents per million input tokens, designed to pair with larger models for high-volume agent tasks.