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Muse Ember

meta/muse-ember

newreasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching

Muse Ember costs $0.100 per 1M input tokens and $0.500 per 1M output tokens with a 1.0M-token context window.

A reasoning, tool-calling model from meta, released Nov 9, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.100
Output / 1M
$0.500
Context
1.0M
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.100
Output price

USD per 1M completion tokens, reasoning included

$0.500
Blended price

3:1 input:output — #82 cheapest of 348 listed models

$0.200
Cached input read

Blank means not priced separately — not free

$0.0040
Cache write$0.125
Context window1,048,576 tokens
Max output943,718 tokens
Input modalitiestext, image, video, file, audio
Tool callingYes
Extended reasoningYes
Knowledge cutoff—
ListedNov 9, 2026
All Meta (meta) API pricing

What Muse Ember costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$57.09/mo
RAG assistant

8K in / 600 out × 100K requests

$71.60/mo
Coding agent

40K in / 4K out × 20K requests

$66.24/mo
Document extraction

20K in / 1.5K out × 50K requests

$132.70/mo
Bulk classification

500 in / 20 out × 5M requests

$252.00/mo
Price your own workload

Compare Muse Ember with

Benchmarked models at a similar price.

Cheaper and stronger alternatives to Muse Ember

Muse Ember FAQ

How much does Muse Ember cost?

Muse Ember lists at $0.100 per 1M input tokens and $0.500 per 1M output tokens, with cached input reads at $0.0040 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $71.60 at list price.

What is the context window of Muse Ember?

Muse Ember accepts up to 1,048,576 tokens of context and can return up to 943,718 output tokens per response.

Does Muse Ember support tool calling?

Yes — Muse Ember supports tool (function) calling and exposes extended reasoning. It accepts text, image, video, file, audio input.

How does Muse Ember score on benchmarks?

LiveBench has not published a run for Muse Ember yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for Muse Ember?

On OpenRouter the model ID is "meta/muse-ember". It was listed on Nov 9, 2026.

More from meta

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranks — LiveBench release 2026-11-06. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.