Meta releases Muse Ember, a lightweight agent-execution model priced at $0.10 per million input tokens
Meta Superintelligence Lab released Muse Ember, its smallest and most cost-efficient AI model, designed for agentic tasks such as tool calls, coding subtasks, routing, extraction, and long document parsing. Priced at $0.10 per million input tokens and $0.50 per million output tokens for shorter prompts, Meta claims it delivers more intelligence per dollar than Haiku 5.5 and GPT-6 Luna.
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TechCrunch AIRussell Brandom
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna.
Techmeme
Russell Brandom / TechCrunch : Meta releases Muse Ember, its smallest and most cost-efficient AI model yet, saying it delivers more intelligence per dollar than Haiku 5.5 and GPT-6 Luna — Meta Superintelligence Lab released a new AI model on Monday called Muse Ember, the lab's lightest and most cost-efficient AI model yet.
Simon Willison
Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it's priced the same as GPT-6 Luna and Claude Haiku 5.5 - both are $0.10/million input tokens and $0.50/million output. Today's other big model release, Claude Fable 5.2, is 80x that price at $8/$40. The pricing is a little less straightforward as prompts get longer, though. Luna, Ember, and Haiku all support up to a million input tokens, but they also all have a threshold after which the price goes up. Taking that threshold into account Ember is priced between the two others: Model Prompt size Input ($/M) Cached input Output GPT-6 Luna ≤272k $0.10 $0.01 $0.50 >272k $0.20 $0.02 $0.75 Muse Ember 1.0 ≤200k $0
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