AI Tools & Products
2d ago
Meta introduces Muse Ember, a cost-effective AI model for diverse tasks
Nov 9, 2026
AI Summary
Meta has launched Muse Ember, its lightest and most economical AI model, aimed at enhancing complex reasoning tasks. Ember is designed to be cost-effective, performing at 10 cents per million input tokens, and is intended to work alongside larger models for efficient task execution across various media types.
- Meta's Superintelligence Lab released Muse Ember, its lightest and most cost-efficient AI model to date.
- Ember is designed for complex reasoning tasks such as tool calls, coding subtasks, routing, extraction, and long document parsing.
- The model is priced at 10 cents per million input tokens, making it cheaper than competitors like Anthropic's Haiku and OpenAI's Luna, as well as open-source models like DeepSeek V4.1 Flash and GLM 5.3 Flash.
- Ember is intended to work in conjunction with larger models, such as Muse Wonder, to handle high-volume tasks efficiently.
- The model is versatile, capable of processing various media types including text, images, and audio, allowing it to read screenshots, charts, scanned documents, and process voice memos and video recordings.
- Muse Ember is the fourth model in Meta's Muse brand, following Spark, Glimmer, and Wonder, with the Muse Agent launched in September achieving notable success.
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