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AI model

Meta: Muse Ember

meta/muse-ember

Meta: Muse Ember is a 1,048,576-token model served on Composite at $0.125 per million tokens in and $0.625 per million tokens out.

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Specifications

Specifications and pricing as served by Composite
Model IDmeta/muse-ember
Providercv11
Context window1,048,576 tokens
Acceptstext, image, video, file, audio
Returnstext
Input price$0.125 per million tokens
Output price$0.625 per million tokens
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
Web search$0.0031 per result
ThinkingAlways on for this model
ModeratedYes - by the provider
Cost on a monthly planAbout 1.3 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Measured on Composite

This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink meta/muse-ember:cheapThink cv11 $0.125 per million tokens input · $0.625 per million tokens output

Pricing

$0.125 per million tokens input · $0.625 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 1.3 plan credits, at the provider's own price.

Provider

cv11

Roleplay fit

Llama models are a widely-supported open baseline, useful when you want predictable, well-documented behavior.

Context behavior

With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.

From the provider

Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...

Supplied by cv11, not written by Composite.