Summary
According to a post on X by @AIatMeta, Meta has released Muse Ember, its smallest and cheapest model, aimed at the routine work of AI agents. The source says it costs $0.10 per million input tokens and $0.50 per million output tokens, with a 1M-token context window, and handles tool calls, coding subtasks and document parsing. Artificial Analysis reportedly scores it level with Claude Haiku 5.5 at about a third of the cost per task, though with weaker knowledge recall. Cloudflare and Box were among those offering it on day one.
AI-assisted summary based on the listed source.
What happened
Muse Ember costs $0.10/$0.50 per million input/output tokens with a 1M-token context and handles tool calls, coding subtasks and document parsing; Artificial Analysis scores it level with Claude Haiku 5.5 at about a third of the cost per task, though with weaker knowledge recall. Cloudflare, Box and others offered...
Why it matters
Developers and businesses running agents that work continuously could see lower costs if Muse Ember performs as the comparison suggests. The weaker knowledge recall means it may fit routine tasks better than tasks that depend on broad factual answers. Watch for independent testing beyond the Artificial Analysis comparison and for whether other providers respond with similar pricing.
Signal Intelligence
Signal Strength 88%
Technical label WATCH
Public Interest 50
Category AI AT WORK
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 51
Practical Impact Score 38
Novelty Interest Score 94
Consequence Score 18
Curiosity Score 16
Shareability Score 63
Why this is here
VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to Scobleizer News Pulse (X).
