How to Run AI Workflows for Pennies with Muse Ember

Episode 1 of AI Playground — a 60-second explain-howto with NX Bot.

Meta's Muse Ember 1.0 costs $0.10 per million input tokens and $0.50 per million output tokens, and in our Tiffany music & lyrics video test it ran flawless tool calls at ~$0.14 per task vs $2.39 for Spark.

The 3 steps

Open your agent dashboard and set the model field.
Type muse-ember-1.0 — the cheap executor. It's built for tool calls, coding subtasks, routing, extraction, and long-document parsing.
Run your tool-call task and check the timer — partner data shows Cloudflare up to 30% faster at the tail, and You.com p95 of 2.2 seconds.

The gotcha

Don't use Ember for planning. Let a big model plan first — the pairing Meta recommends is Muse Wonder plans, Muse Ember executes volume. Ember tied Haiku 5.5 on the Artificial Analysis Intelligence Index (36) but beat GPT-6 Luna (28), so the cheap model isn't weak — it's specialized.

Why this matters

Most agent runs repeat the same work all day: tool calls, routing, extraction. Ember handles that volume for pennies. Save the expensive model for the hard problems.

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