Privateer

Muse Ember

by Meta

Zero data retentionNew
meta/muse-ember
Use it in the app Call it from code
Input
$0.14/1M tokens
Output
$0.70/1M tokens
Context
1Mtokens
Max output
944Ktokens
Knows to
-
Released
9 Nov 2026

About

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,...

Pricing

Input$0.14per 1M prompt tokens
Output$0.70per 1M generated tokens, reasoning included
Cached input<$0.01per 1M tokens read back from the prompt cache
Cache write$0.17per 1M tokens written to the prompt cache
Web search$0.0035per request that uses the provider’s built-in search

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0005$0.490
Question over a long document40,000 in · 800 out$0.0062$6.16
Agent tool step20,000 in · 1,200 out$0.0036$3.64

At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.

Call it from code

OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set model. Keys are created in the app under Settings.

cURL
curl https://api.privateer.pro/v1/chat/completions \
  -H "Authorization: Bearer $PRIVATEER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-ember",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.privateer.pro/v1",
    api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
    model="meta/muse-ember",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.privateer.pro/v1",
  apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "meta/muse-ember",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_ktop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 11 Nov 2026, rebuilt daily from the providers’ live catalogues. ← All models