
Mint: AI
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Meta takes on OpenAI and Anthropic with Muse Ember AI model: Features, benchmarks and pricing
Meta’s Muse Ember is a small AI agent model priced at $0.10 per million input tokens. See benchmarks vs Claude Haiku 5.5 and GPT-6 Luna, plus availability.
Meta has launched Muse Ember, a small AI model built for large-scale, repetitive tasks run by AI agents. Announced on November 9, 2026, it targets businesses and developers who want to automate coding, document processing, data extraction and other routine workflows at a lower cost. CEO Mark Zuckerberg said Ember delivers more intelligence per dollar than rivals such as Anthropic’s Claude Haiku 5.5 and OpenAI’s GPT-6 Luna.
Ember is part of Meta’s Muse family and is meant to work alongside larger models, not replace them. Meta says bigger models will handle complex planning while Ember handles repetitive execution. It is priced at $0.10 per million input tokens and $0.50 per million output tokens.
What is Meta Muse Ember? What can it do?
Muse Ember is the smallest of Meta's Muse models. It is designed for agentic workflows that require executing several smaller tasks, such as coding subtasks, making tool calls, extracting information, routing, and analysing long documents.
Ember has been trained with Muse Wonder Full, which is the first of its kind released by Meta, according to the company. The development was confirmed by Meta Superintelligence Labs lead Alexandr Wang.
The model natively supports text, images, audio, and video. It has a context window of 1 million tokens and up to 512,000 output tokens. This enables it to work with big documents, screenshots, charts, meeting recordings and videos without using different models.
Meta explained the relationship between its models with the line, "Muse Wonder plans, Muse Ember handles the volume."
Meta Muse Ember vs Claude Haiku 5.5 and GPT-6 Luna
Muse Ember got a score of 36 on the Artificial Intelligence Index, which is the top score, and Claude Haiku 5.5 scored 36 as well, while GPT-6 Luna scored 28.
Pragya Singha RoyOriginal source
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